{ "data": { "a": { "slug": "reflection-beam", "name": "Beam 1.0", "vendor": "Reflection", "vendorUrl": "https://reflection.ai", "kind": "model", "category": "inference", "summary": "Beam 1.0 is Reflection's open-weight text model for coding, reasoning and agentic work, with 501B total and 23B active parameters and a 1M-token context, served by the Reflection API in public beta and released as Apache-2.0 weights.", "url": "https://www.anchorterminal.com/tools/reflection-beam", "markdownUrl": "https://www.anchorterminal.com/tools/reflection-beam.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/reflection-beam.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/reflection-beam.json", "dns": "reflection-beam.grade.anchorterminal.com", "repo": "https://huggingface.co/reflection/Beam-1.0-501B-A23B", "license": "Weights under Apache-2.0. The hosted Reflection API is a closed service under Reflection AI, Inc.'s commercial terms of service", "transports": [ "http" ], "remoteUrl": "https://api.reflection.ai/openai/v1", "packages": [], "auth": "api-key", "authNotes": "Bearer API key created by a person on platform.reflection.ai under API Keys. Each key belongs to one project and to the user who made it, is shown once, can be revoked from the API Keys page, and is disabled if that user leaves the organisation or project. No scopes, expiry or key-management API found. The docs say some organisations must verify a credit card in Billing before their keys work (`payment_method_required`). Self-hosted weights need no account; the Hugging Face repositories are not gated.", "pricing": "free", "pricingNotes": "The Reflection API is a public beta, free with a daily usage allocation per account that resets once a day. The beta pricing page gives no allocation figures and still carries template placeholders for the reset time and the dashboard location. No per-token price for after the beta was found. The commercial terms promise 30 days' notice before fees rise. Hosted copies on OpenRouter cost $0.25 to $1.30 input and $1.00 to $4.30 output per million tokens (Nebius, Together, CoreWeave, Baseten, checked 2026-10-17). The weights are free to self-host under Apache-2.0.", "priceSummary": "from $0.25 / 1M in", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the Reflection docs, llms.txt, OpenAPI document or terms. Access needs a browser sign-up on platform.reflection.ai and an API key (checked 2026-10-17).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-17" }, "docsUrl": "https://developers.reflection.ai/introduction", "rateLimitsUrl": "https://developers.reflection.ai/rate-limits", "llmsTxt": "https://developers.reflection.ai/llms.txt", "openapi": "https://developers.reflection.ai/api-reference/openapi.yaml", "capabilities": [ "inference.llm", "inference.open-weights" ], "tags": [ "official", "hosted", "model", "open-weights", "self-hosted", "free", "beta", "openai-compatible", "openapi", "llms-txt", "status-page", "apache-2.0", "gpu", "new" ], "lastRelease": "2026-10-16", "graded": true, "anchor": { "graded": true, "score": 53.3, "grade": "D", "agentReady": false, "rank": 864, "ranked": true, "rankOf": 1260, "categoryRank": 25, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 67, "maintenance": 50, "payments": 20, "reliability": 40, "schema": 84, "security": 46, "transparency": 67 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-17" }, "negative": 0, "verdict": "The Reflection API is OpenAI-compatible, with an OpenAPI document, strict structured outputs and tool calls, and error codes that say when to retry, and the weights are Apache-2.0. It is a free public beta with unpublished daily limits and no per-token price, reasoning can't be turned off, and three API incidents were posted between 14 and 16 October 2026.", "bestFor": "An OpenAI-compatible endpoint for a large open-weight coding and agent model, for builders who want the same model hosted or self-hosted under Apache-2.0.", "strengths": [ "OpenAI-compatible Chat Completions with `tool_choice`, parallel tool calls, strict tool schemas and `json_schema` structured outputs", "Error reference lists every status and code with whether to retry, and responses carry `Retry-After`, `x-should-retry` and `x-request-id`", "OpenAPI 3.0.3 document, llms.txt, a Markdown copy of every page and a docs MCP endpoint at developers.reflection.ai/mcp", "1,048,576-token context and up to 131,072 output tokens, with reasoning returned in its own `reasoning_content` field", "Weights in BF16, FP8 and NVFP4 under Apache-2.0, ungated, with Reflection's guides for SGLang, vLLM, TokenSpeed, Transformers, Helm and Dynamo" ], "weaknesses": [ "The API is a public beta with no SLA, and per-organisation rate limits and the daily allocation are not published as numbers", "Reasoning is mandatory and defaults to `max`, and a tool-call turn returned without `reasoning_content` makes every later request in that session fail", "The commercial terms grant Reflection a training licence over content sent to free or discounted services, while its API safety page says content isn't used for training by default", "Flagged content retention is 12 months in the terms but two years on the API safety page, and zero data retention is not yet available", "Three API incidents in its first three days, two rated critical, with no changelog or model deprecation notice period found" ], "agentNotes": [ "Send `reasoning_effort` `low` or `medium` for short tasks. The default is `max`, and `none` or `minimal` return `400 unsupported_value`", "Return every assistant message with its `reasoning_content` unchanged. If a turn comes back without it, start a new conversation, since later requests fail with `missing_required_parameter`", "Don't rely on `stop` or `seed`. Both are accepted and ignored, so truncate output in your own code", "Honour `x-should-retry: false` on a 429. It means a daily limit is spent and `Retry-After` counts to 00:00 UTC", "Set `max_completion_tokens` yourself on long prompts. The default budget isn't reduced to fit the prompt and includes reasoning tokens" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 53.3 } ], "editorialScores": { "ergonomics": 67, "maintenance": 50, "payments": 20, "reliability": 40, "schema": 84, "security": 46, "transparency": 59 }, "provenanceScore": 74, "checked": { "categories": { "ergonomics": "2026-10-17", "maintenance": "2026-10-17", "payments": "2026-10-17", "reliability": "2026-10-17", "schema": "2026-10-17", "security": "2026-10-17", "transparency": "2026-10-17" }, "last": "2026-10-17", "lastMoved": "2026-10-30", "oldest": "2026-10-17", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install openai # or: npm install openai, with base URL https://api.reflection.ai/openai/v1", "http": "curl https://api.reflection.ai/openai/v1/chat/completions \\\n -H \"Authorization: Bearer $REFLECTION_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"model\": \"Beam-1.0-501B-A23B\",\n \"messages\": [\n {\"role\": \"user\", \"content\": \"Why is the sky blue?\"}\n ]\n }'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/reflection-beam" }, "sameCompany": [ "reflection-mirror" ], "area": "models", "provenance": { "legalEntity": "Reflection AI, Inc.", "domain": "reflection.ai", "domainRegistered": "2017-12-16", "domainNote": "RDAP gives a registration date of 16 December 2017 and a transfer on 15 March 2024, so the domain predates the current owner.", "endpointOnVendorDomain": true, "terms": "https://reflection.ai/legal/commercial-terms-of-service", "privacy": "https://reflection.ai/legal/privacy-policy", "statusPage": "https://status.reflection.ai", "changelog": "", "securityTxt": "none", "checked": "2026-10-17", "notes": [ "The commercial terms, last updated 5 October 2026, name Reflection AI, Inc. and New York law. The privacy policy was last updated 28 August 2026. The DPA uses Irish law for its EU clauses.", "reflection.ai/.well-known/security.txt, developers.reflection.ai/.well-known/security.txt and api.reflection.ai/.well-known/security.txt returned 404 on 17 October 2026. platform.reflection.ai answers every path with its app page. The model card names reports@reflection.ai for security vulnerabilities.", "No changelog or release notes found in the docs, llms.txt or sitemap, and /changelog returned 404.", "reflection.ai's robots.txt disallows /docs and /api/, which were not fetched. platform.reflection.ai is a sign-in app and was not read beyond its public shell." ], "score": 74 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/reflection-beam.json", "live": { "slug": "reflection-beam", "probe": { "target": "https://api.reflection.ai/openai/v1", "method": "get", "lastAt": "2026-11-02T00:56:18.366926986Z", "lastOk": true, "lastStatus": 404, "lastMs": 351, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 359, "p95ms24h": 457, "samples24h": 249, "samples30d": 3798, "days": [ { "date": "2026-10-17", "probes": 21, "ok": 21 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 250, "ok": 250 }, { "date": "2026-10-29", "probes": 249, "ok": 249 }, { "date": "2026-10-30", "probes": 249, "ok": 249 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 10, "ok": 10 } ] }, "vendorStatus": { "page": "https://status.reflection.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-02T01:01:26.068990235Z" }, "securityTxt": { "url": "https://reflection.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-01T15:42:11.471644197Z" }, "llmsTxt": { "url": "https://developers.reflection.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-01T15:14:49.63014748Z" }, "domain": { "domain": "reflection.ai", "registered": "2017-12-16", "source": "https://rdap.identitydigital.services/rdap/domain/reflection.ai", "checkedAt": "2026-11-01T14:25:19.009468335Z" }, "pages": [ { "url": "https://reflection.ai/legal/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-01T06:51:12.303905194Z", "changedAt": "2026-10-23T01:54:34.056222367Z", "fingerprint": "4e2f46b992c7" }, { "url": "https://reflection.ai/legal/commercial-terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-11-01T06:51:09.789287905Z", "changedAt": "2026-10-23T01:54:31.557436227Z", "fingerprint": "79b0e9646535" } ], "models": { "reflection/beam-1.0-501b-a23b": { "openrouterId": "reflection/beam-1.0-501b-a23b", "tools": true, "structuredOutputs": true, "jsonMode": true, "reasoning": true, "input": [ "text" ], "promptCaching": true, "contextTokens": 1048576, "maxOutput": 131072, "checkedAt": "2026-11-01T23:49:20.31928442Z" } }, "updatedAt": "2026-11-02T01:01:26.068990235Z" } }, "answer": "Tencent Cloud TokenHub scores 59.5 (C) on agent readiness against Beam 1.0's 53.3 (D), and leads in 5 of 7 scored categories. Beam 1.0 leads on schema \u0026 documentation and transparency \u0026 trust.", "b": { "slug": "tencent-tokenhub", "name": "Tencent Cloud TokenHub", "vendor": "Tencent Cloud", "vendorUrl": "https://cloud.tencent.com", "kind": "router", "category": "inference", "summary": "Tencent Cloud TokenHub is a hosted model gateway serving Tencent's Hy models and third-party models such as DeepSeek, Kimi, GLM and MiniMax through OpenAI-compatible and Anthropic-compatible endpoints in Guangzhou and Singapore, with per-key scopes and quotas.", "url": "https://www.anchorterminal.com/tools/tencent-tokenhub", "markdownUrl": "https://www.anchorterminal.com/tools/tencent-tokenhub.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/tencent-tokenhub.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/tencent-tokenhub.json", "dns": "tencent-tokenhub.grade.anchorterminal.com", "repo": "https://github.com/TencentCloud/THCLI", "license": "Proprietary service under the TokenHub Terms of Service, the TokenHub SLA and the Tencent Cloud Service Agreement, with a special note for third-party deployed models. The `tencent-tokenhub-cli` package is Apache-2.0", "transports": [ "http" ], "remoteUrl": "https://tokenhub.tencentmaas.com/v1", "packages": [ { "registry": "npm", "name": "tencent-tokenhub-cli" } ], "auth": "api-key", "authNotes": "Bearer API key from the TokenHub console, or `x-api-key` on the Anthropic-style `/v1/messages`. Keys are long-lived, belong to one region (Guangzhou or Singapore), can be limited to chosen models and inference services, up to 200 IP ranges and token quotas, and can be disabled or deleted. They can also be created through the CreateApiKey control-plane call with signed Tencent Cloud credentials, or by `thcli auth login`. The account needs real-name verification first.", "pricing": "usage", "pricingNotes": "Pay per token in CNY, billed hourly. Hy4 preview costs 6 CNY in, 18 CNY out and 0.3 CNY cached per 1M tokens, Hy3 1, 4 and 0.25 CNY. DeepSeek models double at weekday peak hours. Batch is half price for Hy3 and Hy4 preview. Each account gets 1M free tokens per language model for a year, in a campaign to 31 December 2026. Token Plan subscriptions run from 28 to 599 CNY a month (https://cloud.tencent.com/document/product/1823/130055, checked 2026-11-01).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs table of contents, the billing pages or the API usage page. Payment is from a Tencent Cloud account balance, billed hourly (checked 2026-11-01).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 204, "pypiWeekly": null, "asOf": "2026-11-01" }, "docsUrl": "https://cloud.tencent.com/document/product/1823/130058", "rateLimitsUrl": "https://cloud.tencent.com/document/product/1823/136028", "llmsTxt": "https://cloud.tencent.com/document/product/1823/llms.txt", "capabilities": [ "inference.router", "inference.llm", "inference.open-weights", "embed.text", "embed.multimodal", "image.generate", "video.generate", "speech.tts", "speech.stt", "audio.music", "translate.text", "web.search", "obs.gateway" ], "tags": [ "hosted", "router", "usage-based", "free-credit", "openai-compatible", "anthropic-compatible", "llms-txt", "cli", "sla", "batch", "bug-bounty", "no-status-page", "regional-endpoints", "singapore", "chinese", "subscription" ], "lastRelease": "2026-10-24", "graded": true, "anchor": { "graded": true, "score": 59.5, "grade": "C", "agentReady": false, "rank": 646, "ranked": true, "rankOf": 1260, "categoryRank": 18, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 83, "maintenance": 73, "payments": 35, "reliability": 46, "schema": 73, "security": 71, "transparency": 54 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -3, "negativeNotes": [ "2026-10-17. -3, a breaking change without notice. DeepSeek-V4.1-Flash (directly supplied) was moved to its 1017 version under the same model ids and prices on 17 October 2026, and the notice came two days later (https://cloud.tencent.com/announce/detail/2516). Callers pinned to the id got a different model's behaviour with no warning. One term at the floor: the API didn't change. The founder's decision, 1 November 2026." ], "verdict": "Keys can be limited to chosen models, source IPs and token quotas, errors name their source and code, and a 99.5% SLA covers paid use of models Tencent runs. Sign-up needs a Tencent Cloud account with real-name verification, prices are in CNY, no public status page was found, and 18 model retirement notices ran from April to October 2026.", "bestFor": "Teams in or near Tencent Cloud that want one key and bill for Tencent's Hy models and Chinese open-weight models (DeepSeek, Kimi, GLM, MiniMax, Qwen, MiMo) with per-key limits and CNY billing.", "strengths": [ "API keys can be limited to chosen models and inference services, up to 200 source IP ranges, and daily, monthly or total token quotas", "One base URL answers OpenAI Chat Completions, OpenAI Responses and Anthropic Messages calls, and `GET /v1/models` marks models due to retire as `pre-offline`", "Error bodies carry a six-digit code, English and Chinese messages, the source (client, gateway or upstream) and a request ID, and 429s can carry `Retry-After`", "A published SLA promises 99.5% monthly availability with voucher credits of 10 to 50 per cent of the month's fee, for paid use of models Tencent runs", "Per-call audit logs (request ID, key, client IP, status, tokens, latency) can be delivered to the customer's own Tencent Cloud CLS log service" ], "weaknesses": [ "Sign-up needs a Tencent Cloud account with real-name verification. The international site answered with a bot check, so access from outside China was not established", "No public status page was found. A four-hour outage of DeepSeek's directly supplied models on 15 October 2026 appears only as a compensation notice", "18 model retirement notices from 21 April to 22 October 2026. Those read gave 21 to 33 days, and eligible callers are switched to a successor at its price", "DeepSeek's directly supplied models send inputs to DeepSeek under its own terms, and the TokenHub SLA does not cover them", "Per-model RPM and TPM limits for chat models are shown in the console and the quota API, not in the public docs" ], "agentNotes": [ "Use `https://tokenhub.tencentmaas.com/v1` with keys made for Guangzhou and `https://tokenhub-intl.tencentmaas.com/v1` with keys made for Singapore. Keys do not work across the two", "Send the key as `Authorization: Bearer` on the OpenAI paths and as `x-api-key` on `/v1/messages`", "Parse `error.code` as a string or a number, since 429 codes can come back as integers, and wait for `Retry-After` before retrying", "Take model ids from `GET /v1/models` and watch for `pre-offline`. The quickstart's `deepseek-v3` example is not in the current model list", "Expect DeepSeek prices to double on weekdays from 9am to noon and 2pm to 6pm Beijing time, when the peak rate applies" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 59.5 } ], "editorialScores": { "ergonomics": 83, "maintenance": 73, "payments": 35, "reliability": 46, "schema": 73, "security": 71, "transparency": 59 }, "provenanceScore": 49, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npm i -g tencent-tokenhub-cli", "http": "curl https://tokenhub.tencentmaas.com/v1/models \\\n -H \"Authorization: Bearer $TOKENHUB_API_KEY\"", "claudeCode": "{\n \"env\": {\n \"ANTHROPIC_BASE_URL\": \"https://tokenhub.tencentmaas.com\",\n \"ANTHROPIC_AUTH_TOKEN\": \"YOUR_API_KEY\",\n \"ANTHROPIC_MODEL\": \"hy3\"\n }\n}" }, "letme": { "capability": "https://letme.dev/inference.router", "tool": "https://letme.dev/tencent-tokenhub" }, "area": "models", "provenance": { "legalEntity": "Tencent Cloud Computing (Beijing) Co., Ltd. (腾讯云计算（北京）有限责任公司)", "domain": "tencentmaas.com", "domainRegistered": "2026-03-13", "endpointOnVendorDomain": false, "terms": "https://cloud.tencent.com/document/product/301/129852", "privacy": "https://privacy.qq.com/document/preview/91d5fd3c98ce4468ae462ac59233bba2", "statusPage": "", "changelog": "https://cloud.tencent.com/document/product/1823/130675", "securityTxt": "none", "checked": "2026-11-01", "notes": [ "The TokenHub Terms of Service (effective 14 September 2026), the SLA (effective 23 April 2026) and the special note on third-party deployed models (effective 14 September 2026) name 腾讯云计算（北京）有限责任公司. The docs footer also names 深圳市腾讯计算机系统有限公司 as ICP licence holder.", "The TokenHub privacy policy is linked from the docs to privacy.qq.com, which renders only with JavaScript, so it was not read. privacy.qq.com has no robots.txt (404).", "No public status page was found. status.cloud.tencent.com did not answer, and the Tencent Cloud health dashboard documentation answered with a bot check.", "security.txt answered 404 on cloud.tencent.com, www.tencent.com and tokenhub.tencentmaas.com. Tencent's bug bounty policy at en.security.tencent.com lists Tencent Cloud in scope.", "RDAP at Verisign gives tencentmaas.com a registration date of 13 March 2026 with no registrant. The API answers at tokenhub.tencentmaas.com and tokenhub-intl.tencentmaas.com, named in Tencent Cloud's API usage page.", "cloud.tencent.com allows these docs in robots.txt. Its pages answered some requests with a JavaScript bot check, which was not passed. The pages were read when a later plain request returned them. www.tencentcloud.com answered robots.txt with a bot check, so the international site was not read." ], "score": 49 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/tencent-tokenhub.json", "live": { "slug": "tencent-tokenhub", "probe": { "target": "https://tokenhub.tencentmaas.com/v1", "method": "get", "lastAt": "2026-11-02T00:56:24.101434531Z", "lastOk": true, "lastStatus": 404, "lastMs": 795, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 826, "p95ms24h": 1067, "samples24h": 28, "samples30d": 28, "days": [ { "date": "2026-11-01", "probes": 18, "ok": 18 }, { "date": "2026-11-02", "probes": 10, "ok": 10 } ] }, "updatedAt": "2026-11-02T00:56:24.101434531Z" } }, "edges": [ { "by": 25, "category": "security", "leads": "tencent-tokenhub", "name": "Security \u0026 auth", "reasons": { "a": "Model reading. API keys per project, revocable, shown once and disabled when their creator leaves, with no scopes, expiry or rotation API found (20 of 30). Training is contradictory. The API safety page says content isn't used for training by default, with an opt-in, but the commercial terms of 5 October grant Reflection a licence to train on content sent to Discounted Services, which they define to include services at no charge, and the API is currently free. A `reflection-data-retention` header reports `contributor` when training applies (10 of 20). Content kept 30 days for safety review. Zero data retention isn't available yet, though the header reports the retention mode on each response (5 of 15). `x-request-id` on every response and the retention header, with usage dashboards behind the login and not read (5 of 15). No security.txt on reflection.ai, developers.reflection.ai or api.reflection.ai, no bug bounty of Reflection's own and no SOC 2 or ISO 27001 found. A vulnerability address on the model card, a published safety report with indirect prompt-injection results, and Reflection co-sponsors Gray Swan's public prompt-injection challenge (6 of 20). 46.", "b": "Router, read on the model lines. Bearer keys can be limited to chosen models and inference services, up to 200 source IP ranges and daily, monthly or total token quotas, can be disabled or deleted, and can be created in code through CreateApiKey with signed Tencent Cloud credentials. Keys are long-lived with no expiry setting or built-in rotation (26 of 30). Clause 2.17 of the terms says inputs are not used to train Tencent Cloud's own models, and the FAQ says data is not used for training. Inputs to third-party deployed models (DeepSeek's directly supplied ones) go to DeepSeek under its terms (14 of 20). Clause 2.14 keeps data only as long as the service needs, with no periods stated. When a customer asks for generated content without AI labels, Tencent Cloud keeps logs of who received it for at least six months. No zero-retention option was found (7 of 15). Per-call audit logs (request ID, key, client IP, status, tokens, latency) and optional full call logs go to the customer's CLS, billed separately, with usage by key and a monitoring dashboard (14 of 15). No security.txt on cloud.tencent.com, www.tencent.com or tokenhub.tencentmaas.com (404). Tencent's bug bounty through TSRC lists Tencent Cloud in scope. No certification for TokenHub was checked (10 of 20)." }, "scores": { "a": 46, "b": 71 } }, { "by": 23, "category": "maintenance", "leads": "tencent-tokenhub", "name": "Maintenance \u0026 community", "reasons": { "a": "Model reading for a model released the day before this check. Weights and the public API released on 16 October 2026 (30). One model, with a `shutdown_date` field and a lifecycle section in the docs but no notice period for retirements, and no history of releases or retirements yet (4 of 20). No changelog. Support goes through the platform and Discord, and the model card names reports@reflection.ai. Hugging Face discussions not sampled (6 of 25). No first-party SDK, the docs rely on the OpenAI SDKs (5 of 15). Day-one support in vLLM, SGLang, Transformers, TokenSpeed and Dynamo with Reflection's recipes, and a Beam Verifier repository, but fine-tuning recipes are 'coming soon' (5 of 10). 50.", "b": "Closed service, read on the model lines. The newest release note is dated 24 October 2026 and the price page was updated on 31 October (30). The four retirement notices read gave 21 to 33 days, and eligible callers are switched to a successor at its price. No minimum notice period is written, and DeepSeek-V4.1-Flash (directly supplied) was moved to the 1017 version under the same ids on 17 October 2026 in a notice dated two days later (7 of 12). 18 retirement notices from 21 April to 22 October 2026, 12 of them since 3 August (3 of 8). Dated release notes and announcements, ticket and phone support around the clock and a Q\u0026A community (13 of 15). Replies on the THCLI repository were not sampled (3 of 10). Tencent Cloud SDK 3.0 in several languages covers the control plane and `tencent-tokenhub-cli` 1.0.2 was published on 30 October 2026. No inference SDK of its own (12 of 15). The CLI has four releases since 15 September 2026, lists no runtime dependencies and needs Node.js 18 or later. CI not checked (5 of 10)." }, "scores": { "a": 50, "b": 73 } }, { "by": 16, "category": "ergonomics", "leads": "tencent-tokenhub", "name": "Agent ergonomics", "reasons": { "a": "Model reading (tool use, structured output, caching, context, batch, SDKs and defaults, errors). `tool_choice` of auto, none, required or a named function, `parallel_tool_calls`, strict tools and up to 128 tools. The tool-calling loop needs `reasoning_content` sent back on every assistant turn, and the docs say the model sometimes returns a tool-call step without it, after which every request in the session fails (12 of 20). `json_object` and strict `json_schema` (15). Cached prompt tokens are reported in `usage`, but caching can't be steered, the `prompt_cache_*` options are ignored and no cached price exists in the beta (5 of 10). 1,048,576-token context and 131,072 output tokens (15). No batch endpoint (0 of 10). No Reflection SDK, the OpenAI Python and TypeScript SDKs are documented, and defaults cost an agent turns, with reasoning always on at `max`, `stop` and `seed` ignored and a default output budget not reduced to fit the prompt (5 of 10). Machine-readable `error.code` values with `param`, `x-should-retry`, `Retry-After` and `x-request-id` (15). 67.", "b": "Router, read on the model lines. Function calling is marked on most chat models in the model list, with behaviour depending on the model routed (14 of 20). Structured output is marked per model and missing on the MiniMax and Qwen models, and an unsupported `response_format` returns code 400006 (12 of 15). Cache-hit prices are published per model, Kimi K3.1 Pro lists five-minute and one-hour cache writes, and a guide covers `prompt_cache_key` and the `X-Session-ID` header for instance affinity (14 of 15). Most listed chat models have contexts of one million tokens, a judgement call since a router has no default model (15). Batch at half price covers only Hy3 and Hy4 preview, reads and writes JSONL in the customer's own COS bucket and is documented for the Guangzhou endpoint (5 of 10). No TokenHub inference SDK. The OpenAI and Anthropic SDKs work with a changed base URL, and Tencent Cloud SDK 3.0 and the `thcli` CLI cover the control plane (8 of 10). Errors return a code, English and Chinese messages, the source, the upstream code and status and a request ID, and stream errors arrive as SSE error frames (15 of 15)." }, "scores": { "a": 67, "b": 83 } }, { "by": 15, "category": "payments", "leads": "tencent-tokenhub", "name": "Payments \u0026 pricing", "reasons": { "a": "Graded on the Reflection API. No x402, MPP or L402 (0). The public beta is free with a daily allocation, but no allocation figures or per-token prices are published, and the beta pricing page still shows template placeholders, so plan-level only (10 of 20). Free to start, but the docs say some organisations must verify a credit card before keys work (10 of 20). A person signs up in the browser at platform.reflection.ai to get a key (0). The weights are free under Apache-2.0 for anyone serving them, and hosted copies through other providers are not graded. 20.", "b": "No x402, MPP or L402 (0). Per-token prices for every model are public in CNY for Guangzhou and Singapore, with DeepSeek's peak and off-peak rates (20). Each account gets 1M free tokens per language model, valid for a year, in a campaign running to 31 December 2026. No card is mentioned, but the account needs real-name verification, so this line takes 15 of 20. A person signs up and completes real-name verification in a browser. Keys can then be created in code or by `thcli auth login`, but only from that account (0)." }, "scores": { "a": 20, "b": 35 } }, { "by": 13, "category": "transparency", "leads": "reflection-beam", "name": "Transparency \u0026 trust", "reasons": { "a": "Weights under Apache-2.0, an OSI licence, with no restriction on distillation or training on outputs. The hosted API is closed under clear commercial terms, and training code and data aren't released (25 of 30). Data handling statements disagree. Flagged content is kept up to 12 months in the terms, up to two years on the API safety page and 'one year' later on that page, training is off by default on one page while the terms license training on free use, and the docs reset daily limits at 00:00 UTC while the pricing page says a bracketed midnight Pacific time (10 of 30). A `shutdown_date` field and 30 days' notice before fee increases, but no model deprecation policy or dated notices (6 of 20). A subprocessor list of twelve with purposes and locations, including Together AI in Canada and Voltage Park for inference (18 of 20). 59.", "b": "Closed service under the TokenHub Terms of Service (effective 14 September 2026), the SLA (23 April 2026), a special note on third-party deployed models and the Tencent Cloud Service Agreement, naming Tencent Cloud Computing (Beijing) Co., Ltd. The CLI is Apache-2.0 (18 of 30). The terms and the FAQ agree that inputs are processed on the customer's instructions and not used for training, and clause 2.14 limits retention to what the service needs without periods. The TokenHub privacy policy on privacy.qq.com renders only with JavaScript and was not read (15 of 30). Dated retirement notices, shutdown dates in the model list, a `pre-offline` status in `/v1/models` and a `DiscontinuedAt` field in the control API. Clause 6.3 refunds paid, unused tokens when a third-party model is removed. No minimum notice period is written (13 of 20). Clause 2.13 places processing generally in mainland China for the China site and in Singapore for the international site, and the third-party model list names DeepSeek's Hangzhou company with a link to its terms. No subprocessor list was found (13 of 20)." }, "scores": { "a": 67, "b": 54 } }, { "by": 11, "category": "schema", "leads": "reflection-beam", "name": "Schema \u0026 documentation", "reasons": { "a": "Model reading. OpenAPI 3.0.3 document, version 0.1.0, covering all three documented endpoints with typed schemas and error examples. A second 'Reflection client' base URL, https://api.reflection.ai/v1, is named with no endpoints documented (22 of 25). llms.txt, a Markdown copy of every page and a docs MCP endpoint (10). The guides say which reasoning effort suits which task, which OpenAI parameters are fixed, ignored or unsupported and which endpoints don't exist, so a model knows what not to send (17 of 20). `reasoning_effort` is an enum, strict JSON Schema for tools and `json_schema` output with the unsupported keywords and size limits listed, and unknown parameters return `unsupported_parameter` (15). curl, Python and TypeScript examples on every guide, and an error reference with every status, `error.code` and retry advice (15). The model ID carries its version and the models endpoint has a `shutdown_date` field, but no changelog or release notes were found (5 of 15). 84.", "b": "Router, scored on the API lines. No OpenAPI file for the inference routes. Field pages document the OpenAI Chat Completions, OpenAI Responses and Anthropic Messages formats as TokenHub implements them, and the control plane is a Tencent Cloud API 3.0 service (version 2026-03-22) with typed parameters, API Explorer and SDKs (12 of 25). An llms.txt at cloud.tencent.com/document/product/1823/llms.txt links a Markdown copy of each docs page (10). The docs say which models support thinking, tools, structured output and caching, how TokenHub departs from each standard protocol, and which DeepSeek model suits which job. The quickstart's examples still use `deepseek-v3`, which is not in the model list, and Qwen3.5 stays in the list with a past shutdown date (13 of 20). Protocol pages list each field with type, required flag and default, and control-plane parameters carry enums and required flags (10 of 15). Examples in curl, Python, Node.js, Java and Go, and an error page listing 30 codes with HTTP status, cause and fix (14 of 15). Paths carry `/v1`, release notes are dated monthly from 7 April to 24 October 2026, and the control-plane API has a dated history of 26 releases to 18 September 2026 (14 of 15)." }, "scores": { "a": 84, "b": 73 } } ], "facts": [ { "a": "Model API", "b": "Model router", "name": "Kind" }, { "a": "Reflection", "b": "Tencent Cloud", "name": "Vendor" }, { "a": "https://api.reflection.ai/openai/v1", "b": "https://tokenhub.tencentmaas.com/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Weights under Apache-2.0. The hosted Reflection API is a closed service under Reflection AI, Inc.'s commercial terms of service", "b": "Proprietary service under the TokenHub Terms of Service, the TokenHub SLA and the Tencent Cloud Service Agreement, with a special note for third-party deployed models. The `tencent-tokenhub-cli` package is Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-16", "b": "2026-10-24", "name": "Last release" }, { "a": "2026-10-05", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "2026-08-28", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "yes", "b": "couldn't be read", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "couldn't be read", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "204 npm/wk", "name": "Popularity" }, { "a": "2.5/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Tencent Cloud TokenHub scores 59.5 (C) on agent readiness against Beam 1.0's 53.3 (D), and leads in 5 of 7 scored categories. Beam 1.0 leads on schema \u0026 documentation and transparency \u0026 trust.", "question": "Which is better for AI agents, Beam 1.0 or Tencent Cloud TokenHub?" }, { "answer": "Both need an API key.", "question": "Do Beam 1.0 and Tencent Cloud TokenHub need an API key?" }, { "answer": "Yes. Beam 1.0 has a hosted endpoint at https://api.reflection.ai/openai/v1 and Tencent Cloud TokenHub at https://tokenhub.tencentmaas.com/v1.", "question": "Can an agent call Beam 1.0 and Tencent Cloud TokenHub without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 84 against 73", "Transparency \u0026 trust, 67 against 54" ], "also": [ "No incidents deducted, where Tencent Cloud TokenHub loses 3 points for them" ], "goodFor": "An OpenAI-compatible endpoint for a large open-weight coding and agent model, for builders who want the same model hosted or self-hosted under Apache-2.0.", "slug": "reflection-beam", "watchFor": "The API is a public beta with no SLA, and per-organisation rate limits and the daily allocation are not published as numbers" }, { "aheadOn": [ "Reliability, 46 against 40", "Agent ergonomics, 83 against 67", "Security \u0026 auth, 71 against 46", "Payments \u0026 pricing, 35 against 20", "Maintenance \u0026 community, 73 against 50" ], "also": null, "goodFor": "Teams in or near Tencent Cloud that want one key and bill for Tencent's Hy models and Chinese open-weight models (DeepSeek, Kimi, GLM, MiniMax, Qwen, MiMo) with per-key limits and CNY billing.", "slug": "tencent-tokenhub", "watchFor": "Sign-up needs a Tencent Cloud account with real-name verification. The international site answered with a bot check, so access from outside China was not established" } ], "history": { "reflection-beam": [ { "causes": [ "method" ], "date": "2026-10-30", "delta": -0.1, "from": 53.4, "fromGrade": "D", "to": 53.3, "toGrade": "D" } ], "tencent-tokenhub": null }, "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-reflection-beam.json", "title": "Claude API vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-tencent-tokenhub.json", "title": "Claude API vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-reflection-beam.json", "title": "Antseed vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/antseed-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-reflection-beam.json", "title": "BlockRun.AI vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-tencent-tokenhub.json", "title": "BlockRun.AI vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-reflection-beam.json", "title": "Cerebras Inference vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-tencent-tokenhub.json", "title": "Cerebras Inference vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-reflection-beam.json", 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"https://www.anchorterminal.com/compare/reflection-beam-vs-routerplus.json", "title": "Beam 1.0 vs RouterPlus", "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-sambanova.json", "title": "Beam 1.0 vs SambaCloud", "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-siliconflow.json", "title": "Beam 1.0 vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-simplismart.json", "title": "Beam 1.0 vs Simplismart", "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-simplismart" }, { "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-stepfun-api.json", "title": "Beam 1.0 vs StepFun API", "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-together-inference.json", "title": "Beam 1.0 vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-vercel-ai-gateway.json", "title": "Beam 1.0 vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-vercel-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/sambanova-vs-tencent-tokenhub.json", "title": "SambaCloud vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/sambanova-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/siliconflow-vs-tencent-tokenhub.json", "title": "SiliconFlow vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/siliconflow-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/simplismart-vs-tencent-tokenhub.json", "title": "Simplismart vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/simplismart-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/stepfun-api-vs-tencent-tokenhub.json", "title": "StepFun API vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/stepfun-api-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/tencent-tokenhub-vs-together-inference.json", "title": "Tencent Cloud TokenHub vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/tencent-tokenhub-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-reflection-beam.json", "title": "Nemotron 3.5 Super VL vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-tencent-tokenhub.json", "title": "Nemotron 3.5 Super VL vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-tencent-tokenhub.json", "title": "Prism Inference vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-tencent-tokenhub.json", "title": "Antseed vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/antseed-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/ramp-router-vs-tencent-tokenhub.json", "title": "Router.com (Ramp Router) vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/ramp-router-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/routerplus-vs-tencent-tokenhub.json", "title": "RouterPlus vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/routerplus-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/tencent-tokenhub-vs-vercel-ai-gateway.json", "title": "Tencent Cloud TokenHub vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/tencent-tokenhub-vs-vercel-ai-gateway" } ], "panel": null, "scores": [ { "by": 6, "edge": "tencent-tokenhub", "key": "reliability", "name": "Reliability", "reflection-beam": 40, "tencent-tokenhub": 46, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 11, "edge": "reflection-beam", "key": "schema", "name": "Schema \u0026 documentation", "reflection-beam": 84, "tencent-tokenhub": 73, "weight": 13 }, { "by": 16, "edge": "tencent-tokenhub", "key": "ergonomics", "name": "Agent ergonomics", "reflection-beam": 67, "tencent-tokenhub": 83, "weight": 13 }, { "by": 25, "edge": "tencent-tokenhub", "key": "security", "name": "Security \u0026 auth", "reflection-beam": 46, "tencent-tokenhub": 71, "weight": 14 }, { "by": 15, "edge": "tencent-tokenhub", "key": "payments", "name": "Payments \u0026 pricing", "reflection-beam": 20, "tencent-tokenhub": 35, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 23, "edge": "tencent-tokenhub", "key": "maintenance", "name": "Maintenance \u0026 community", "reflection-beam": 50, "tencent-tokenhub": 73, "weight": 7 }, { "by": 13, "edge": "reflection-beam", "key": "transparency", "name": "Transparency \u0026 trust", "reflection-beam": 67, "tencent-tokenhub": 54, "weight": 7 } ], "summary": "Tencent Cloud TokenHub scores 59.5 (C) on agent readiness against Beam 1.0's 53.3 (D), and leads in 5 of 7 scored categories. Beam 1.0 leads on schema \u0026 documentation and transparency \u0026 trust. Both do llm inference.", "tasks": null, "tutorials": [], "verdicts": { "reflection-beam": "The Reflection API is OpenAI-compatible, with an OpenAPI document, strict structured outputs and tool calls, and error codes that say when to retry, and the weights are Apache-2.0. It is a free public beta with unpublished daily limits and no per-token price, reasoning can't be turned off, and three API incidents were posted between 14 and 16 October 2026.", "tencent-tokenhub": "Keys can be limited to chosen models, source IPs and token quotas, errors name their source and code, and a 99.5% SLA covers paid use of models Tencent runs. Sign-up needs a Tencent Cloud account with real-name verification, prices are in CNY, no public status page was found, and 18 model retirement notices ran from April to October 2026." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/reflection-beam-vs-tencent-tokenhub", "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-tencent-tokenhub.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/reflection-beam-vs-tencent-tokenhub.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/reflection-beam-vs-tencent-tokenhub.min.md" }, "markdown": "Tencent Cloud TokenHub scores 59.5 (C) on agent readiness against Beam 1.0's 53.3 (D), and leads in 5 of 7 scored categories. Beam 1.0 leads on schema \u0026 documentation and transparency \u0026 trust. Both do llm inference.\n\n- Beam 1.0: grade D, 53.3/100, rank #864 of 1260. Markdown https://www.anchorterminal.com/tools/reflection-beam.md · JSON https://www.anchorterminal.com/api/v1/tools/reflection-beam.json\n- Tencent Cloud TokenHub: grade C, 59.5/100, rank #646 of 1260. Markdown https://www.anchorterminal.com/tools/tencent-tokenhub.md · JSON https://www.anchorterminal.com/api/v1/tools/tencent-tokenhub.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 529 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Beam 1.0 (D)\n\nGood for: An OpenAI-compatible endpoint for a large open-weight coding and agent model, for builders who want the same model hosted or self-hosted under Apache-2.0.\n\nAhead on:\n- Schema \u0026 documentation, 84 against 73\n- Transparency \u0026 trust, 67 against 54\n\nAlso in its favour:\n- No incidents deducted, where Tencent Cloud TokenHub loses 3 points for them\n\nWatch for: The API is a public beta with no SLA, and per-organisation rate limits and the daily allocation are not published as numbers\n\n### Tencent Cloud TokenHub (C)\n\nGood for: Teams in or near Tencent Cloud that want one key and bill for Tencent's Hy models and Chinese open-weight models (DeepSeek, Kimi, GLM, MiniMax, Qwen, MiMo) with per-key limits and CNY billing.\n\nAhead on:\n- Reliability, 46 against 40\n- Agent ergonomics, 83 against 67\n- Security \u0026 auth, 71 against 46\n- Payments \u0026 pricing, 35 against 20\n- Maintenance \u0026 community, 73 against 50\n\nWatch for: Sign-up needs a Tencent Cloud account with real-name verification. The international site answered with a bot check, so access from outside China was not established\n\n\n## Why the edge\n\n### Security \u0026 auth: Tencent Cloud TokenHub +25\n\n- Beam 1.0 (46): Model reading. API keys per project, revocable, shown once and disabled when their creator leaves, with no scopes, expiry or rotation API found (20 of 30). Training is contradictory. The API safety page says content isn't used for training by default, with an opt-in, but the commercial terms of 5 October grant Reflection a licence to train on content sent to Discounted Services, which they define to include services at no charge, and the API is currently free. A `reflection-data-retention` header reports `contributor` when training applies (10 of 20). Content kept 30 days for safety review. Zero data retention isn't available yet, though the header reports the retention mode on each response (5 of 15). `x-request-id` on every response and the retention header, with usage dashboards behind the login and not read (5 of 15). No security.txt on reflection.ai, developers.reflection.ai or api.reflection.ai, no bug bounty of Reflection's own and no SOC 2 or ISO 27001 found. A vulnerability address on the model card, a published safety report with indirect prompt-injection results, and Reflection co-sponsors Gray Swan's public prompt-injection challenge (6 of 20). 46.\n- Tencent Cloud TokenHub (71): Router, read on the model lines. Bearer keys can be limited to chosen models and inference services, up to 200 source IP ranges and daily, monthly or total token quotas, can be disabled or deleted, and can be created in code through CreateApiKey with signed Tencent Cloud credentials. Keys are long-lived with no expiry setting or built-in rotation (26 of 30). Clause 2.17 of the terms says inputs are not used to train Tencent Cloud's own models, and the FAQ says data is not used for training. Inputs to third-party deployed models (DeepSeek's directly supplied ones) go to DeepSeek under its terms (14 of 20). Clause 2.14 keeps data only as long as the service needs, with no periods stated. When a customer asks for generated content without AI labels, Tencent Cloud keeps logs of who received it for at least six months. No zero-retention option was found (7 of 15). Per-call audit logs (request ID, key, client IP, status, tokens, latency) and optional full call logs go to the customer's CLS, billed separately, with usage by key and a monitoring dashboard (14 of 15). No security.txt on cloud.tencent.com, www.tencent.com or tokenhub.tencentmaas.com (404). Tencent's bug bounty through TSRC lists Tencent Cloud in scope. No certification for TokenHub was checked (10 of 20).\n\n### Maintenance \u0026 community: Tencent Cloud TokenHub +23\n\n- Beam 1.0 (50): Model reading for a model released the day before this check. Weights and the public API released on 16 October 2026 (30). One model, with a `shutdown_date` field and a lifecycle section in the docs but no notice period for retirements, and no history of releases or retirements yet (4 of 20). No changelog. Support goes through the platform and Discord, and the model card names reports@reflection.ai. Hugging Face discussions not sampled (6 of 25). No first-party SDK, the docs rely on the OpenAI SDKs (5 of 15). Day-one support in vLLM, SGLang, Transformers, TokenSpeed and Dynamo with Reflection's recipes, and a Beam Verifier repository, but fine-tuning recipes are 'coming soon' (5 of 10). 50.\n- Tencent Cloud TokenHub (73): Closed service, read on the model lines. The newest release note is dated 24 October 2026 and the price page was updated on 31 October (30). The four retirement notices read gave 21 to 33 days, and eligible callers are switched to a successor at its price. No minimum notice period is written, and DeepSeek-V4.1-Flash (directly supplied) was moved to the 1017 version under the same ids on 17 October 2026 in a notice dated two days later (7 of 12). 18 retirement notices from 21 April to 22 October 2026, 12 of them since 3 August (3 of 8). Dated release notes and announcements, ticket and phone support around the clock and a Q\u0026A community (13 of 15). Replies on the THCLI repository were not sampled (3 of 10). Tencent Cloud SDK 3.0 in several languages covers the control plane and `tencent-tokenhub-cli` 1.0.2 was published on 30 October 2026. No inference SDK of its own (12 of 15). The CLI has four releases since 15 September 2026, lists no runtime dependencies and needs Node.js 18 or later. CI not checked (5 of 10).\n\n### Agent ergonomics: Tencent Cloud TokenHub +16\n\n- Beam 1.0 (67): Model reading (tool use, structured output, caching, context, batch, SDKs and defaults, errors). `tool_choice` of auto, none, required or a named function, `parallel_tool_calls`, strict tools and up to 128 tools. The tool-calling loop needs `reasoning_content` sent back on every assistant turn, and the docs say the model sometimes returns a tool-call step without it, after which every request in the session fails (12 of 20). `json_object` and strict `json_schema` (15). Cached prompt tokens are reported in `usage`, but caching can't be steered, the `prompt_cache_*` options are ignored and no cached price exists in the beta (5 of 10). 1,048,576-token context and 131,072 output tokens (15). No batch endpoint (0 of 10). No Reflection SDK, the OpenAI Python and TypeScript SDKs are documented, and defaults cost an agent turns, with reasoning always on at `max`, `stop` and `seed` ignored and a default output budget not reduced to fit the prompt (5 of 10). Machine-readable `error.code` values with `param`, `x-should-retry`, `Retry-After` and `x-request-id` (15). 67.\n- Tencent Cloud TokenHub (83): Router, read on the model lines. Function calling is marked on most chat models in the model list, with behaviour depending on the model routed (14 of 20). Structured output is marked per model and missing on the MiniMax and Qwen models, and an unsupported `response_format` returns code 400006 (12 of 15). Cache-hit prices are published per model, Kimi K3.1 Pro lists five-minute and one-hour cache writes, and a guide covers `prompt_cache_key` and the `X-Session-ID` header for instance affinity (14 of 15). Most listed chat models have contexts of one million tokens, a judgement call since a router has no default model (15). Batch at half price covers only Hy3 and Hy4 preview, reads and writes JSONL in the customer's own COS bucket and is documented for the Guangzhou endpoint (5 of 10). No TokenHub inference SDK. The OpenAI and Anthropic SDKs work with a changed base URL, and Tencent Cloud SDK 3.0 and the `thcli` CLI cover the control plane (8 of 10). Errors return a code, English and Chinese messages, the source, the upstream code and status and a request ID, and stream errors arrive as SSE error frames (15 of 15).\n\n### Payments \u0026 pricing: Tencent Cloud TokenHub +15\n\n- Beam 1.0 (20): Graded on the Reflection API. No x402, MPP or L402 (0). The public beta is free with a daily allocation, but no allocation figures or per-token prices are published, and the beta pricing page still shows template placeholders, so plan-level only (10 of 20). Free to start, but the docs say some organisations must verify a credit card before keys work (10 of 20). A person signs up in the browser at platform.reflection.ai to get a key (0). The weights are free under Apache-2.0 for anyone serving them, and hosted copies through other providers are not graded. 20.\n- Tencent Cloud TokenHub (35): No x402, MPP or L402 (0). Per-token prices for every model are public in CNY for Guangzhou and Singapore, with DeepSeek's peak and off-peak rates (20). Each account gets 1M free tokens per language model, valid for a year, in a campaign running to 31 December 2026. No card is mentioned, but the account needs real-name verification, so this line takes 15 of 20. A person signs up and completes real-name verification in a browser. Keys can then be created in code or by `thcli auth login`, but only from that account (0).\n\n### Transparency \u0026 trust: Beam 1.0 +13\n\n- Beam 1.0 (67): Weights under Apache-2.0, an OSI licence, with no restriction on distillation or training on outputs. The hosted API is closed under clear commercial terms, and training code and data aren't released (25 of 30). Data handling statements disagree. Flagged content is kept up to 12 months in the terms, up to two years on the API safety page and 'one year' later on that page, training is off by default on one page while the terms license training on free use, and the docs reset daily limits at 00:00 UTC while the pricing page says a bracketed midnight Pacific time (10 of 30). A `shutdown_date` field and 30 days' notice before fee increases, but no model deprecation policy or dated notices (6 of 20). A subprocessor list of twelve with purposes and locations, including Together AI in Canada and Voltage Park for inference (18 of 20). 59.\n- Tencent Cloud TokenHub (54): Closed service under the TokenHub Terms of Service (effective 14 September 2026), the SLA (23 April 2026), a special note on third-party deployed models and the Tencent Cloud Service Agreement, naming Tencent Cloud Computing (Beijing) Co., Ltd. The CLI is Apache-2.0 (18 of 30). The terms and the FAQ agree that inputs are processed on the customer's instructions and not used for training, and clause 2.14 limits retention to what the service needs without periods. The TokenHub privacy policy on privacy.qq.com renders only with JavaScript and was not read (15 of 30). Dated retirement notices, shutdown dates in the model list, a `pre-offline` status in `/v1/models` and a `DiscontinuedAt` field in the control API. Clause 6.3 refunds paid, unused tokens when a third-party model is removed. No minimum notice period is written (13 of 20). Clause 2.13 places processing generally in mainland China for the China site and in Singapore for the international site, and the third-party model list names DeepSeek's Hangzhou company with a link to its terms. No subprocessor list was found (13 of 20).\n\n### Schema \u0026 documentation: Beam 1.0 +11\n\n- Beam 1.0 (84): Model reading. OpenAPI 3.0.3 document, version 0.1.0, covering all three documented endpoints with typed schemas and error examples. A second 'Reflection client' base URL, https://api.reflection.ai/v1, is named with no endpoints documented (22 of 25). llms.txt, a Markdown copy of every page and a docs MCP endpoint (10). The guides say which reasoning effort suits which task, which OpenAI parameters are fixed, ignored or unsupported and which endpoints don't exist, so a model knows what not to send (17 of 20). `reasoning_effort` is an enum, strict JSON Schema for tools and `json_schema` output with the unsupported keywords and size limits listed, and unknown parameters return `unsupported_parameter` (15). curl, Python and TypeScript examples on every guide, and an error reference with every status, `error.code` and retry advice (15). The model ID carries its version and the models endpoint has a `shutdown_date` field, but no changelog or release notes were found (5 of 15). 84.\n- Tencent Cloud TokenHub (73): Router, scored on the API lines. No OpenAPI file for the inference routes. Field pages document the OpenAI Chat Completions, OpenAI Responses and Anthropic Messages formats as TokenHub implements them, and the control plane is a Tencent Cloud API 3.0 service (version 2026-03-22) with typed parameters, API Explorer and SDKs (12 of 25). An llms.txt at cloud.tencent.com/document/product/1823/llms.txt links a Markdown copy of each docs page (10). The docs say which models support thinking, tools, structured output and caching, how TokenHub departs from each standard protocol, and which DeepSeek model suits which job. The quickstart's examples still use `deepseek-v3`, which is not in the model list, and Qwen3.5 stays in the list with a past shutdown date (13 of 20). Protocol pages list each field with type, required flag and default, and control-plane parameters carry enums and required flags (10 of 15). Examples in curl, Python, Node.js, Java and Go, and an error page listing 30 codes with HTTP status, cause and fix (14 of 15). Paths carry `/v1`, release notes are dated monthly from 7 April to 24 October 2026, and the control-plane API has a dated history of 26 releases to 18 September 2026 (14 of 15).\n\n## Score by category\n\n| Category | Weight | Beam 1.0 | Tencent Cloud TokenHub | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 40 | 46 | Tencent Cloud TokenHub +6 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 84 | 73 | Beam 1.0 +11 |\n| Agent ergonomics | 13% (16.2 this run) | 67 | 83 | Tencent Cloud TokenHub +16 |\n| Security \u0026 auth | 14% (17.5 this run) | 46 | 71 | Tencent Cloud TokenHub +25 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 35 | Tencent Cloud TokenHub +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 50 | 73 | Tencent Cloud TokenHub +23 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 54 | Beam 1.0 +13 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **53.3 · D** | **59.5 · C** | |\n\n## Facts side by side\n\n| Fact | Beam 1.0 | Tencent Cloud TokenHub |\n| --- | --- | --- |\n| Kind | Model API | Model router |\n| Vendor | Reflection | Tencent Cloud |\n| Hosted endpoint | `https://api.reflection.ai/openai/v1` | `https://tokenhub.tencentmaas.com/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Free | Pay per use |\n| x402 | no | no |\n| Licence | Weights under Apache-2.0. The hosted Reflection API is a closed service under Reflection AI, Inc.'s commercial terms of service | Proprietary service under the TokenHub Terms of Service, the TokenHub SLA and the Tencent Cloud Service Agreement, with a special note for third-party deployed models. The `tencent-tokenhub-cli` package is Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-16 | 2026-10-24 |\n| Terms last updated | 2026-10-05 | couldn't be read |\n| Privacy policy last updated | 2026-08-28 | couldn't be read |\n| Customer content may train models | yes | couldn't be read |\n| Terms restrict automated access | not found in the text | couldn't be read |\n| Terms restrict benchmarking | not found in the text | couldn't be read |\n| Terms or service can change without notice | not found in the text | couldn't be read |\n| Arbitration or class-action waiver | yes | couldn't be read |\n| Popularity | none | 204 npm/wk |\n| Agent reviews | 2.5/5 (4) | none |\n\n## How the scores have moved\n\n### Beam 1.0\n\n- -0.1 on 30 October 2026: checklist\n\n### Tencent Cloud TokenHub\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Beam 1.0.** The Reflection API is OpenAI-compatible, with an OpenAPI document, strict structured outputs and tool calls, and error codes that say when to retry, and the weights are Apache-2.0. It is a free public beta with unpublished daily limits and no per-token price, reasoning can't be turned off, and three API incidents were posted between 14 and 16 October 2026.\n\n**Tencent Cloud TokenHub.** Keys can be limited to chosen models, source IPs and token quotas, errors name their source and code, and a 99.5% SLA covers paid use of models Tencent runs. Sign-up needs a Tencent Cloud account with real-name verification, prices are in CNY, no public status page was found, and 18 model retirement notices ran from April to October 2026.\n\n## Before you call either\n\n### Beam 1.0\n\n1. Send `reasoning_effort` `low` or `medium` for short tasks. The default is `max`, and `none` or `minimal` return `400 unsupported_value`\n2. Return every assistant message with its `reasoning_content` unchanged. If a turn comes back without it, start a new conversation, since later requests fail with `missing_required_parameter`\n3. Don't rely on `stop` or `seed`. Both are accepted and ignored, so truncate output in your own code\n4. Honour `x-should-retry: false` on a 429. It means a daily limit is spent and `Retry-After` counts to 00:00 UTC\n5. Set `max_completion_tokens` yourself on long prompts. The default budget isn't reduced to fit the prompt and includes reasoning tokens\n\n### Tencent Cloud TokenHub\n\n1. Use `https://tokenhub.tencentmaas.com/v1` with keys made for Guangzhou and `https://tokenhub-intl.tencentmaas.com/v1` with keys made for Singapore. Keys do not work across the two\n2. Send the key as `Authorization: Bearer` on the OpenAI paths and as `x-api-key` on `/v1/messages`\n3. Parse `error.code` as a string or a number, since 429 codes can come back as integers, and wait for `Retry-After` before retrying\n4. Take model ids from `GET /v1/models` and watch for `pre-offline`. The quickstart's `deepseek-v3` example is not in the current model list\n5. Expect DeepSeek prices to double on weekdays from 9am to noon and 2pm to 6pm Beijing time, when the peak rate applies\n\n## Questions\n\n### Which is better for AI agents, Beam 1.0 or Tencent Cloud TokenHub?\n\nTencent Cloud TokenHub scores 59.5 (C) on agent readiness against Beam 1.0's 53.3 (D), and leads in 5 of 7 scored categories. Beam 1.0 leads on schema \u0026 documentation and transparency \u0026 trust.\n\n### Do Beam 1.0 and Tencent Cloud TokenHub need an API key?\n\nBoth need an API key.\n\n### Can an agent call Beam 1.0 and Tencent Cloud TokenHub without installing anything?\n\nYes. Beam 1.0 has a hosted endpoint at https://api.reflection.ai/openai/v1 and Tencent Cloud TokenHub at https://tokenhub.tencentmaas.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/reflection-beam-vs-tencent-tokenhub.json, and with the fewest tokens: https://www.anchorterminal.com/compare/reflection-beam-vs-tencent-tokenhub.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"reflection-beam\", \"b\": \"tencent-tokenhub\"}`. From a terminal: `anchor compare reflection-beam tencent-tokenhub`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/reflection-beam.json and https://www.anchorterminal.com/api/v1/tools/tencent-tokenhub.json\n\n## Other comparisons with Beam 1.0 or Tencent Cloud TokenHub\n\n- [Claude API vs Beam 1.0](https://www.anchorterminal.com/compare/anthropic-api-vs-reflection-beam.md)\n- [Claude API vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/anthropic-api-vs-tencent-tokenhub.md)\n- [Antseed vs Beam 1.0](https://www.anchorterminal.com/compare/antseed-vs-reflection-beam.md)\n- [BlockRun.AI vs Beam 1.0](https://www.anchorterminal.com/compare/blockrun-ai-vs-reflection-beam.md)\n- [BlockRun.AI vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/blockrun-ai-vs-tencent-tokenhub.md)\n- [Cerebras Inference vs Beam 1.0](https://www.anchorterminal.com/compare/cerebras-inference-vs-reflection-beam.md)\n- [Cerebras Inference vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/cerebras-inference-vs-tencent-tokenhub.md)\n- [Cloudflare AI Gateway vs Beam 1.0](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-reflection-beam.md)\n- [Cloudflare AI Gateway vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-tencent-tokenhub.md)\n- [Cloudflare Workers AI vs Beam 1.0](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-reflection-beam.md)\n- [Cloudflare Workers AI vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-tencent-tokenhub.md)\n- [Cohere Chat API (Command models) vs Beam 1.0](https://www.anchorterminal.com/compare/cohere-chat-vs-reflection-beam.md)\n- [Cohere Chat API (Command models) vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/cohere-chat-vs-tencent-tokenhub.md)\n- [DeepInfra vs Beam 1.0](https://www.anchorterminal.com/compare/deepinfra-vs-reflection-beam.md)\n- [DeepInfra vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/deepinfra-vs-tencent-tokenhub.md)\n- [DeepSeek API vs Beam 1.0](https://www.anchorterminal.com/compare/deepseek-api-vs-reflection-beam.md)\n- [DeepSeek API vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/deepseek-api-vs-tencent-tokenhub.md)\n- [Glimpse vs Beam 1.0](https://www.anchorterminal.com/compare/elorian-glimpse-vs-reflection-beam.md)\n- [Glimpse vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/elorian-glimpse-vs-tencent-tokenhub.md)\n- [Fireworks AI Inference vs Beam 1.0](https://www.anchorterminal.com/compare/fireworks-inference-vs-reflection-beam.md)\n- [Fireworks AI Inference vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/fireworks-inference-vs-tencent-tokenhub.md)\n- [Gemini Developer API vs Beam 1.0](https://www.anchorterminal.com/compare/gemini-api-vs-reflection-beam.md)\n- [Gemini Developer API vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/gemini-api-vs-tencent-tokenhub.md)\n- [GroqCloud vs Beam 1.0](https://www.anchorterminal.com/compare/groq-vs-reflection-beam.md)\n- [GroqCloud vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/groq-vs-tencent-tokenhub.md)\n- [Jais 3 vs Beam 1.0](https://www.anchorterminal.com/compare/jais-3-vs-reflection-beam.md)\n- [Jais 3 vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/jais-3-vs-tencent-tokenhub.md)\n- [Meta Model API vs Beam 1.0](https://www.anchorterminal.com/compare/meta-model-api-vs-reflection-beam.md)\n- [Meta Model API vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/meta-model-api-vs-tencent-tokenhub.md)\n- [MiniMax API vs Beam 1.0](https://www.anchorterminal.com/compare/minimax-api-vs-reflection-beam.md)\n- [MiniMax API vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/minimax-api-vs-tencent-tokenhub.md)\n- [Mistral AI API vs Beam 1.0](https://www.anchorterminal.com/compare/mistral-api-vs-reflection-beam.md)\n- [Mistral AI API vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/mistral-api-vs-tencent-tokenhub.md)\n- [Muse Spark Open vs Beam 1.0](https://www.anchorterminal.com/compare/muse-spark-open-vs-reflection-beam.md)\n- [Muse Spark Open vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/muse-spark-open-vs-tencent-tokenhub.md)\n- [Novita AI vs Beam 1.0](https://www.anchorterminal.com/compare/novita-ai-vs-reflection-beam.md)\n- [Novita AI vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/novita-ai-vs-tencent-tokenhub.md)\n- [OpenAI API vs Beam 1.0](https://www.anchorterminal.com/compare/openai-api-vs-reflection-beam.md)\n- [OpenAI API vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/openai-api-vs-tencent-tokenhub.md)\n- [OpenRouter vs Beam 1.0](https://www.anchorterminal.com/compare/openrouter-vs-reflection-beam.md)\n- [OpenRouter vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/openrouter-vs-tencent-tokenhub.md)\n- [Prism Inference vs Beam 1.0](https://www.anchorterminal.com/compare/prism-inference-vs-reflection-beam.md)\n- [Router.com (Ramp Router) vs Beam 1.0](https://www.anchorterminal.com/compare/ramp-router-vs-reflection-beam.md)\n- [Beam 1.0 vs RouterPlus](https://www.anchorterminal.com/compare/reflection-beam-vs-routerplus.md)\n- [Beam 1.0 vs SambaCloud](https://www.anchorterminal.com/compare/reflection-beam-vs-sambanova.md)\n- [Beam 1.0 vs SiliconFlow](https://www.anchorterminal.com/compare/reflection-beam-vs-siliconflow.md)\n- [Beam 1.0 vs Simplismart](https://www.anchorterminal.com/compare/reflection-beam-vs-simplismart.md)\n- [Beam 1.0 vs StepFun API](https://www.anchorterminal.com/compare/reflection-beam-vs-stepfun-api.md)\n- [Beam 1.0 vs Together AI Inference](https://www.anchorterminal.com/compare/reflection-beam-vs-together-inference.md)\n- [Beam 1.0 vs Vercel AI Gateway](https://www.anchorterminal.com/compare/reflection-beam-vs-vercel-ai-gateway.md)\n- [SambaCloud vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/sambanova-vs-tencent-tokenhub.md)\n- [SiliconFlow vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/siliconflow-vs-tencent-tokenhub.md)\n- [Simplismart vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/simplismart-vs-tencent-tokenhub.md)\n- [StepFun API vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/stepfun-api-vs-tencent-tokenhub.md)\n- [Tencent Cloud TokenHub vs Together AI Inference](https://www.anchorterminal.com/compare/tencent-tokenhub-vs-together-inference.md)\n- [Nemotron 3.5 Super VL vs Beam 1.0](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-reflection-beam.md)\n- [Nemotron 3.5 Super VL vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-tencent-tokenhub.md)\n- [Prism Inference vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/prism-inference-vs-tencent-tokenhub.md)\n- [Antseed vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/antseed-vs-tencent-tokenhub.md)\n- [Router.com (Ramp Router) vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/ramp-router-vs-tencent-tokenhub.md)\n- [RouterPlus vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/routerplus-vs-tencent-tokenhub.md)\n- [Tencent Cloud TokenHub vs Vercel AI Gateway](https://www.anchorterminal.com/compare/tencent-tokenhub-vs-vercel-ai-gateway.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-02", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Beam 1.0 vs Tencent Cloud TokenHub", "url": "" } ], "description": "Tencent Cloud TokenHub scores 59.5 (C) to Beam 1.0's 53.3 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Beam 1.0 D 53.3", "Tencent Cloud TokenHub C 59.5", "scores" ], "h1": "Beam 1.0 vs Tencent Cloud TokenHub", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/reflection-beam-vs-tencent-tokenhub", "published": "2026-10-01", "section": "tools", "title": "Beam 1.0 vs Tencent Cloud TokenHub for AI agents (2026)", "toc": null, "updated": "2026-11-01", "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-tencent-tokenhub" }, "tokens": { "markdown": 6950, "slim": 3880 }, "version": 1 }