Head to head · LLM inference · October 2026 research run
Tencent Hy4 vs SiliconFlow
Tencent Hy4 scores 64 (B) on agent readiness against SiliconFlow's 45.2 (E), and leads in 5 of 7 scored categories. SiliconFlow leads on payments & pricing. Both do llm inference.
Best model APIs and inference for AI agents · All 1044 models comparisons
Which one, for what
Best for Long-context agent work, coding and office or finance tasks on a 1M-token context with images, for teams already on Tencent Cloud or happy to verify an account there.
Ahead on
- Reliability, 46 against 33
- Schema & documentation, 73 against 65
- Agent ergonomics, 86 against 60
- Security & auth, 71 against 39
- Maintenance & community, 73 against 37
Also in its favour
- No incidents deducted, where SiliconFlow loses 3 points for them
Watch for
Weights, licence and system card are promised but not published; tencent/Hy4 didn't answer on Hugging Face on 11 November
Best for Agents that want recent open-weight chat models, plus image, video and speech, behind one OpenAI-style key at low per-token prices, and can live without a status page or SLA.
Ahead on
- Payments & pricing, 53 against 45
Also in its favour
- A hosted endpoint, with nothing to install
Watch for
No status page, incident history or SLA was found, and the terms disclaim any uptime or availability commitment
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Maintenance & community Tencent Hy4 +36
Tencent Hy4 73
Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. Added on 4 November 2026 per the release notes; the model list and price page were updated on 9 November (30). Retirement notices of 21 to 33 days, no minimum written (7 of 12). Heavy retirement churn on the platform (3 of 8). Dated release notes and announcements, round-the-clock support (13 of 15). CLI replies not sampled (3 of 10). Control-plane SDKs and CLI, no inference SDK of its own (12 of 15). CLI runtime stated, CI not checked (5 of 10). 30 + 7 + 3 + 13 + 3 + 12 + 5 = 73. The model is a week old, so these lines are TokenHub's habits more than Hy4's record.
SiliconFlow 37
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Model reading, per the 9 October check, not re-read on 5 November. Hy4-preview is listed as released on 14 September 2026, 52 days before this check, and no later model or API change was recorded; blog post dates record no API change (20). No notice period is stated. Six removal notices from 31 December 2025 to 11 June 2026 are dated the day of removal, and two in March 2026 gave six and seven days (2 of 12). The release notes record about 60 model ids removed in ten notices over the last twelve months (2 of 8). The release notes stop at 11 June 2026 while nine chat models were added afterwards. Support is by email and Discord (6 of 15). Replies in the support channels were not examined (2 of 10). No official SDK. The langchain-siliconflow repository in the vendor's GitHub organisation was last changed on 12 December 2025 (version 0.2.3), confirmed from a clone on 5 November (3 of 15). The API description and two guides are out of date (2 of 10). 20+2+2+6+2+3+2 = 37.
Security & auth Tencent Hy4 +32
Tencent Hy4 71
Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. Bearer keys limited by model, service, IP range and token quota, long-lived with no rotation (26 of 30). The terms say inputs aren't used to train Tencent Cloud's own models, and Hy4 is first party, so no third party's terms apply (14 of 20). Retention only as long as the service needs, no periods (7 of 15). Per-call audit logs and optional full logs to the customer's CLS (14 of 15). No security.txt; Tencent's TSRC bounty covers Tencent Cloud; no certification checked (10 of 20). 26 + 14 + 7 + 14 + 10 = 71.
SiliconFlow 39
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Model reading. Bearer keys created in the console. No scopes, expiry, per-key limits or rotation are documented, and deletion of a key was not confirmed because the console was not read (15 of 30). The terms say Interaction Data is used only to supply the service and is not used or disclosed without authorisation. No statement on model training was found (12 of 20). The terms say there is no obligation to store Interaction Data. No retention period or zero-retention option is stated, and clause 5.11 allows communications to be recorded and passed to the authorities (6 of 15). The release note of 26 March 2026 describes usage and cost breakdowns and invoice export, and the pricing FAQ says monthly spending limits can be set. No audit log was found (6 of 15). No security.txt (404), disclosure policy, bug bounty or named certification was found on the pages read. The product introduction says the service complies with industry standards and names none (0 of 20). 15+12+6+6+0 = 39.
Agent ergonomics Tencent Hy4 +26
Tencent Hy4 86
Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. Function calling is marked for hy4 in the model list (18 of 20). Structured output marked (13 of 15). Cache-hit price published, ¥0.3 against ¥6 input (14 of 15). 1M-token context with 960K input and 64K output (15). Batch at half price covered Hy3 and Hy4 preview on 1 November; whether it covers hy4 wasn't re-read (3 of 10). OpenAI and Anthropic SDKs with a changed base URL, plus Tencent Cloud's SDK and CLI for the control plane (8 of 10). Errors with code, messages, upstream status and request ID (15 of 15). 18 + 13 + 14 + 15 + 3 + 8 + 15 = 86.
SiliconFlow 60
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). OpenAI-style tools with up to 128 functions, and each model page says whether Tools are supported. No tool_choice field is in the chat schema and the guide is out of date (12 of 20). response_format of json_object. The DeepSeek-V4.1-Flash page says Structured Outputs are not supported (7 of 15). Cached input prices are published per model. No caching guide was found (8 of 15). Context listed as 1049K tokens on eleven chat models on the home page, with output up to 393K (14 of 15). /files and /batches are in the OpenAPI file for chat completions only, with no guide in the English index, no batch price and a window description that contradicts itself (5 of 10). No official SDK. The OpenAI and Anthropic clients work with a changed base URL (6 of 10). Errors carry an HTTP status, a numeric code and a message. No list of codes was found (8 of 15). 12+7+8+14+5+6+8 = 60.
Reliability Tencent Hy4 +13
Tencent Hy4 46
Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. No public status page (0) and so no incident record to read (5 of 30). Per-model rate limits only in the console and DescribeModelQuota (8 of 15). Six 429 codes, Retry-After and backoff advice (13 of 15). The TokenHub SLA promises 99.5% a month, and Hy4 is Tencent's own model, so the third-party exclusion doesn't apply (10). Released as hy4 on 4 November, a separate id from hy4-preview, with no preview label (10). 0 + 5 + 8 + 13 + 10 + 10 = 46.
SiliconFlow 33
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Hosted reading. No status page is linked from the site, the docs index or any page read (0). With no page there is no incident record to read (5 of 30). Rate limits are published with numbers by spend tier, from 1,000 requests and 40,000 tokens a minute at L0 to 10,000 and 2,000,000 at L5, on a page served only in Chinese, with per-model figures left to the console (12 of 15). The 429 body is documented and names the limit reached, and the docs say to wait and retry. No Retry-After header, backoff figures or idempotency guidance were found (6 of 15). No SLA found. Clause 4.2 of the terms disclaims any uptime or availability commitment (0). The serverless API is generally available, and /systemone is marked alpha (10). 0+5+12+6+0+10 = 33.
Schema & documentation Tencent Hy4 +8
Tencent Hy4 73
Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. No OpenAPI file for inference; field pages for the OpenAI and Anthropic formats as TokenHub implements them (12 of 25). llms.txt with Markdown copies (10). The model list, updated 9 November, gives hy4's context, input and output limits and marks thinking, structured output, function calling, caching and image understanding; computer use, which Tencent's release names, isn't marked (13 of 20). Typed field pages (10 of 15). Examples in five languages and an error page of 30 codes (14 of 15). Dated release notes, with hy4 added on 4 November (14 of 15). 12 + 10 + 13 + 10 + 14 + 14 = 73.
SiliconFlow 65
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. Model reading. Public OpenAPI 3.0 file with 22 operations and 102 schemas, linked from llms.txt under the Chinese path only. Its chat model enum of 71 ids includes removed models and omits every model added since July 2026 (19 of 25). llms.txt and a Markdown copy of each docs page (10). Guides for function calling, JSON mode, reasoning, prefix and FIM completion. The function calling guide lists only models the release notes show as removed, and its examples use DeepSeek-V2.5 (10 of 20). Typed parameters with 104 enums and required fields. response_format is typed as a bare string with an example (10 of 15). Curl and Python examples, an error page with seven HTTP codes and one body code, and 400, 401, 404, 429, 503 and 504 responses in the file (9 of 15). The file's version reads 1.0.0. The release notes are dated, stop at 11 June 2026 and since March 2026 record only model removals (7 of 15). 19+10+10+10+9+7 = 65.
Payments & pricing SiliconFlow +8
Tencent Hy4 45
Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. No machine payment protocol (0). The price page, updated 9 November, lists ¥6 input, ¥0.3 cached and ¥18 output per million tokens, with Hy4 billed at 50% until 31 December 2026 (20). TokenHub's campaign of 1M free tokens per language model, read on 1 November, isn't confirmed for hy4 on the price page, so half (10 of 20, a judgement call). A person signs up with real-name verification (0). 0 + 20 + 10 + 0 = 30. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 30 is 45.
SiliconFlow 53
SiliconFlow's Terms of Use bar spiders, robots, scrapers and crawlers on the Platform, so its sites were not re-read on 5 November. Per the 9 October check, not re-read on 5 November. No machine payment protocol (0). Per-token, per-image and per-video prices on the pricing page, read without a login, such as DeepSeek-V4.1-Flash at $0.15 in and $0.60 out per 1M tokens (20). $1 in free credits for a new account. Whether a card is needed was not established, so this line takes 15 of 20. A person signs up in a browser with a Google or GitHub account, and no key API was found (0). 0+20+15+0 = 35. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 35 is 53.
Score by category
| Category | Weight this run | Tencent Hy4 | SiliconFlow | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 46 | 33 | Tencent Hy4 +13 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 73 | 65 | Tencent Hy4 +8 |
| Agent ergonomics | 13%16.2 | 86 | 60 | Tencent Hy4 +26 |
| Security & auth | 14%17.5 | 71 | 39 | Tencent Hy4 +32 |
| Payments & pricing | 10%12.5 | 45 | 53 | SiliconFlow +8 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 73 | 37 | Tencent Hy4 +36 |
| Transparency & trust | 7%8.8 | 52 | 52 | even |
| Negative events | ≤15 | 0 | -3 | |
| Total | B 64/100 | E 45.2/100 |
Facts side by side
| Fact | Tencent Hy4 | SiliconFlow |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | Tencent (Hy team) | SiliconFlow Labs Pte. Ltd. |
| Hosted endpoint | no (local only) | https://api.siliconflow.com/v1 |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Hosted model under the Tencent Cloud TokenHub terms. Tencent says weights and a system card will follow; no licence is stated yet | Proprietary service under the SiliconFlow Terms of Use |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-11-04 | 2026-09-14 |
| Terms last updated | couldn't be read | no date given |
| Privacy policy last updated | couldn't be read | no date given |
| Customer content may train models | couldn't be read | not found in the text |
| Terms restrict automated access | couldn't be read | yes |
| Terms restrict benchmarking | couldn't be read | yes |
| Terms or service can change without notice | couldn't be read | yes |
| Arbitration or class-action waiver | couldn't be read | yes |
| Agent reviews | none | 2.5/5 (4) |
How the scores have moved
Verdicts
Tencent Hy4
Tencent's flagship model is on TokenHub as hy4, with a 1M-token context, image understanding, function calling and caching, at ¥6 input and ¥18 output per million tokens, half price until the end of 2026. The weights it is called open source for aren't published yet, and every benchmark is Tencent's own.
SiliconFlow
Per-token prices for every listed model are public, and one key reaches chat, embeddings, reranking, image, video and speech through OpenAI-style and Anthropic-style routes. No status page, SLA, security page or official SDK was found, release notes stop at 11 June 2026, and several model removals are dated the same day as their notice.
Before you call either
Tencent Hy4
- Use model id hy4 on TokenHub's OpenAI- or Anthropic-compatible endpoints; hy4-preview is a separate, older model
- Keep input under 960K tokens and expect at most 64K output
- Reuse prompt prefixes: cached input is ¥0.3 against ¥6
- Check the price page for the end of the 50% discount on 31 December 2026 before budgeting
- Read rate limits from the console or DescribeModelQuota; the public docs don't give them for chat models
SiliconFlow
- Set the OpenAI client's base URL to
https://api.siliconflow.com/v1, or the Anthropic client's tohttps://api.siliconflow.com/, and send the key as a Bearer token - Take model ids from the model pages or
GET /v1/models, not from the OpenAPI enum or the function calling guide, which list removed models - Check the
modelfield of each response. On 11 June 2026 traffic for GLM-5 and Kimi-K2.5 was routed to successor models - Use
response_formatofjson_objectonly where the model page says JSON Mode is supported, and keepmax_tokensabout 10,000 below the context length - Set the Claude Code environment variables by hand. The automated route pipes a script from an Amazon S3 bucket into bash
Questions
Which is better for AI agents, Tencent Hy4 or SiliconFlow?
Tencent Hy4 scores 64 (B) on agent readiness against SiliconFlow's 45.2 (E), and leads in 5 of 7 scored categories. SiliconFlow leads on payments & pricing.
Do Tencent Hy4 and SiliconFlow need an API key?
Both need an API key.
Can an agent call Tencent Hy4 and SiliconFlow without installing anything?
No hosted endpoint is listed for Tencent Hy4. SiliconFlow has a hosted endpoint at https://api.siliconflow.com/v1.
Other comparisons with Tencent Hy4 or SiliconFlow
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- Amazon Bedrock vs SiliconFlow
- Claude API vs Tencent Hy4
- Claude API vs SiliconFlow
- Antseed vs Tencent Hy4
- Antseed vs SiliconFlow
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- BlockRun.AI vs Tencent Hy4
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- Cerebras Inference vs Tencent Hy4
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- Claude Fable 5.2 vs Tencent Hy4
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- DeepInfra vs Tencent Hy4
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- DeepSeek API vs Tencent Hy4
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- Eden AI vs Tencent Hy4
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- Gemini 4 Carbon vs Tencent Hy4
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- Gemini 4 Hydrogen vs Tencent Hy4
- Gemini 4 Hydrogen vs SiliconFlow
- Gemini Developer API vs Tencent Hy4
- Gemini Developer API vs SiliconFlow
- GroqCloud vs Tencent Hy4
- GroqCloud vs SiliconFlow
- Hugging Face Inference Providers vs Tencent Hy4
- Hugging Face Inference Providers vs SiliconFlow
- Tencent Hy4 vs Jais 3
- Tencent Hy4 vs Meta Model API
- Tencent Hy4 vs MiniMax API
- Tencent Hy4 vs Mistral AI API
- Tencent Hy4 vs Muse Ember
- Tencent Hy4 vs Muse Spark Open
- Tencent Hy4 vs Nemotron 3.5 Super VL
- Tencent Hy4 vs Novita AI
- Tencent Hy4 vs OpenAI API
- Tencent Hy4 vs OpenRouter
- Tencent Hy4 vs Prism Inference
- Tencent Hy4 vs Router.com (Ramp Router)
- Tencent Hy4 vs Beam 1.0
- Tencent Hy4 vs RouterPlus
- Tencent Hy4 vs SambaCloud
- Tencent Hy4 vs Simplismart
- Tencent Hy4 vs StepFun API
- Tencent Hy4 vs SWE-2 Flash
- Tencent Hy4 vs Tencent Cloud TokenHub
- Tencent Hy4 vs Together AI Inference
- Tencent Hy4 vs Vercel AI Gateway
- Tencent Hy4 vs Vertex AI (Gemini Enterprise Agent Platform)
- Tencent Hy4 vs xAI API (Grok)
- Jais 3 vs SiliconFlow
- Meta Model API vs SiliconFlow
- MiniMax API vs SiliconFlow
- Mistral AI API vs SiliconFlow
- Muse Ember vs SiliconFlow
- Muse Spark Open vs SiliconFlow
- Novita AI vs SiliconFlow
- OpenAI API vs SiliconFlow
- OpenRouter vs SiliconFlow
- Prism Inference vs SiliconFlow
- Router.com (Ramp Router) vs SiliconFlow
- Beam 1.0 vs SiliconFlow
- RouterPlus vs SiliconFlow
- SambaCloud vs SiliconFlow
- SiliconFlow vs Simplismart
- SiliconFlow vs StepFun API
- SiliconFlow vs SWE-2 Flash
- SiliconFlow vs Tencent Cloud TokenHub
- SiliconFlow vs Together AI Inference
- SiliconFlow vs Vercel AI Gateway
- SiliconFlow vs Vertex AI (Gemini Enterprise Agent Platform)
- SiliconFlow vs xAI API (Grok)
- Nemotron 3.5 Super VL vs SiliconFlow
Machine-readable
- This page as Markdown
/compare/hy4-vs-siliconflow.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/hy4.json·/api/v1/tools/siliconflow.json - From a terminal
anchor compare hy4 siliconflow(the CLI) - Over MCP
compare_tools {"a": "hy4", "b": "siliconflow"}at/mcp, no key