{ "data": { "a": { "slug": "cerebras-inference", "name": "Cerebras Inference", "vendor": "Cerebras Systems Inc.", "vendorUrl": "https://www.cerebras.ai/inference", "kind": "http-api", "category": "inference", "summary": "Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API. It supports streaming, structured outputs, tool calling and prompt caching, with shared and dedicated inference options.", "url": "https://www.anchorterminal.com/tools/cerebras-inference", "markdownUrl": "https://www.anchorterminal.com/tools/cerebras-inference.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cerebras-inference.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cerebras-inference.json", "repo": "https://github.com/Cerebras/cerebras-cloud-sdk-python", "license": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.", "transports": [ "http" ], "remoteUrl": "https://api.cerebras.ai/v1", "packages": [ { "registry": "pypi", "name": "cerebras-cloud-sdk" }, { "registry": "npm", "name": "@cerebras/cerebras_cloud_sdk" } ], "auth": "api-key", "authNotes": "Bearer API keys from the Cloud Console. Paid accounts scope keys to projects; trial accounts do not have projects. Keys do not expire and can be rotated by creating a replacement and deleting the old key.", "pricing": "paid", "pricingNotes": "Pay per token. GPT OSS 120B is $0.35 per million input tokens and $0.75 per million output tokens. New accounts get $5 for 30 days only after adding a verified payment method. Dedicated capacity is priced by agreement.", "priceSummary": "Paid", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 payment route found in the reviewed inference and billing documentation on 19 October 2026.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 170, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-19" }, "docsUrl": "https://inference-docs.cerebras.ai", "llmsTxt": "https://inference-docs.cerebras.ai/llms.txt", "openapi": "https://inference-docs.cerebras.ai/api-reference/openapi.yaml", "capabilities": [ "inference.llm", "inference.open-weights" ], "tags": [ "official", "http-api", "inference", "api-key", "openapi", "llms-txt", "paid" ], "lastRelease": "2026-10-09", "graded": true, "anchor": { "graded": true, "score": 68.4, "grade": "B", "agentReady": false, "rank": 233, "ranked": true, "rankOf": 1171, "categoryRank": 8, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 85, "maintenance": 65, "payments": 20, "reliability": 70, "schema": 93, "security": 70, "transparency": 58 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-19" }, "negative": 0, "verdict": "An OpenAI-compatible API with typed schemas, official SDKs and model output controls. Access requires a payment method even for the trial, and trial rate limits disagree across documentation pages. Shared-model availability and dedicated-model availability differ.", "bestFor": "Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API.", "strengths": [ "Public OpenAPI 3.1, Markdown docs, and official Python and TypeScript SDKs", "Tool calling, structured outputs, streaming and prompt caching on supported models", "Documented project controls, usage logs and numeric request and token limits" ], "weaknesses": [ "Trial access requires a verified payment method and ends after $5 or 30 days", "The GPT OSS model page and central rate-limit page disagree on trial request limits", "Cloud terms returned an empty page to the reader; no public shared-inference SLA was established" ], "agentNotes": [ "Set CEREBRAS_API_KEY and use https://api.cerebras.ai/v1 with an OpenAI-compatible client.", "Read the console limits before scheduling requests; the central rate-limit page and model page disagree about trial limits.", "Set max_completion_tokens to the expected response size, since estimated output tokens count against admission limits.", "Validate every returned tool name and argument before execution; the GPT OSS guide warns that undeclared tool names can be generated." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 3.3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 68.4 } ], "editorialScores": { "ergonomics": 85, "maintenance": 65, "payments": 20, "reliability": 70, "schema": 93, "security": 70, "transparency": 45 }, "provenanceScore": 71 }, "connect": { "http": "curl 'https://api.cerebras.ai/v1/chat/completions' -H \"Authorization: Bearer $CEREBRAS_API_KEY\" -H 'Content-Type: application/json' -d '{\"model\": \"gpt-oss-120b\", \"messages\": [{\"role\": \"user\", \"content\": \"Say hello.\"}], \"max_tokens\": 128}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/cerebras-inference" }, "area": "models", "unitPrices": [ { "item": "GPT OSS 120B input", "unit": "1m-tokens", "usd": 0.35, "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026" }, { "item": "GPT OSS 120B output", "unit": "1m-tokens", "usd": 0.75, "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026" } ], "provenance": { "legalEntity": "Cerebras Systems Inc.", "domain": "cerebras.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://cloud.cerebras.ai/terms", "privacy": "https://www.cerebras.ai/privacy-policy", "statusPage": "https://status.cerebras.ai", "changelog": "https://inference-docs.cerebras.ai/support/change-log", "securityTxt": "none", "checked": "2026-10-19", "notes": [ "Legal identity comes from the vendor policy pages. Domain registration was not checked.", "The SDK repository is not the source for the hosted inference service.", "Cloud terms at cloud.cerebras.ai/terms returned no readable document; privacy identifies Cerebras Systems Inc.", "The well-known security.txt returned 404. The trust centre lists SOC 2 Type II." ], "score": 71 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/cerebras-inference.json", "live": { "slug": "cerebras-inference", "probe": { "target": "https://api.cerebras.ai/v1", "method": "get", "lastAt": "2026-10-19T09:34:24.387029889Z", "lastOk": true, "lastStatus": 404, "lastMs": 131, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 140, "p95ms24h": 194, "samples24h": 20, "samples30d": 20, "days": [ { "date": "2026-10-19", "probes": 20, "ok": 20 } ] }, "vendorStatus": { "page": "https://status.cerebras.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-19T09:26:58.948841855Z" }, "updatedAt": "2026-10-19T09:34:24.387029889Z" } }, "answer": "Cerebras Inference scores 68.4 (B) on agent readiness against Jais 3's 51.7 (D), and leads in 6 of 7 scored categories. Jais 3 leads on payments \u0026 pricing.", "b": { "slug": "jais-3", "name": "Jais 3", "vendor": "Institute of Foundation Models (MBZUAI) and Inception42", "vendorUrl": "https://ifm.ai/blog/jais3/", "kind": "model", "category": "inference", "summary": "Jais 3 is an open-weight family of Arabic and English reasoning models from MBZUAI's Institute of Foundation Models and Inception42, from 0.9B to 375B parameters with up to 512K tokens of context, released under Apache-2.0 for self-hosting.", "url": "https://www.anchorterminal.com/tools/jais-3", "markdownUrl": "https://www.anchorterminal.com/tools/jais-3.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/jais-3.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/jais-3.json", "repo": "https://huggingface.co/inception42/Jais-3-375B-A23B", "license": "Apache-2.0, declared in the metadata of every model card read. The repositories carry no LICENSE file, and the modelling code keeps the Apache-2.0 header of the Qwen3-MoE code it was generated from", "transports": [ "http" ], "packages": [], "auth": "none", "authNotes": "No account or key. The inception42 and IFM repositories on Hugging Face are not gated and download anonymously. A local server has whatever authentication the owner adds, such as vLLM's `--api-key`. The cards' examples call the local server with `api_key=\"EMPTY\"`.", "pricing": "free", "pricingNotes": "Free to download and run under Apache-2.0, with the owner's GPUs as the cost. No hosted endpoint from IFM or Inception42 was found, OpenRouter lists no Jais model, and Hugging Face shows no inference provider for the main repositories (checked 2026-10-17).", "priceSummary": "Free", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402. Jais 3 is a set of weights the owner serves, with no payment route and no hosted API from the makers found (checked 2026-10-17).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-17" }, "docsUrl": "https://huggingface.co/inception42/Jais-3-375B-A23B", "capabilities": [ "inference.llm", "inference.open-weights", "inference.local" ], "tags": [ "model", "open-weights", "self-hosted", "local", "free", "no-card", "apache-2.0", "openai-compatible", "gpu", "apple-silicon", "mlx", "new" ], "lastRelease": "2026-10-15", "graded": true, "anchor": { "graded": true, "score": 51.7, "grade": "D", "agentReady": false, "rank": 854, "ranked": true, "rankOf": 1171, "categoryRank": 24, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 65, "maintenance": 62, "payments": 60, "reliability": 48, "schema": 54, "security": 31, "transparency": 50 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-17" }, "negative": 0, "verdict": "Jais 3 runs on the owner's hardware through OpenAI-compatible servers in vLLM and SGLang, with tool calls, three reasoning levels and a 512K context, from a 2.2 GB 0.9B model to a 758 GB 375B one. The weights download without sign-up under Apache-2.0, but every launch command trusts remote code, and no technical report or security contact is published.", "bestFor": "An agent or team that needs Arabic and English reasoning and tool use on its own hardware, from a laptop-sized 0.9B to a cluster-sized 375B, under Apache-2.0.", "strengths": [ "Six checkpoints from 0.9B (2.2 GB) to 375B-A23B (758 GB), with FP8, GGUF and MLX builds from IFM", "Apache-2.0 on every card read, ungated downloads, and the CPT, Cooldown, SFT and FTPO training checkpoints published as branches", "With the `k2_horizon` parsers, reasoning returns in `reasoning_content` and tool calls as `tool_calls`, in JSON, XML or typed XML formats", "Launch recipes in the vLLM and SGLang projects' own docs, and K2 Horizon support merged into llama.cpp's master branch", "The chat template validates tool schemas and rejects unknown options with named errors, such as an unsupported `reasoning_effort`" ], "weaknesses": [ "Every documented vLLM, SGLang, Transformers and MLX command passes `--trust-remote-code`, so the repository's Python runs on the host", "The 375B-A23B reference deployment is 16 H100 GPUs across two nodes, or one 8-GPU H200 node", "The technical report and code repository are marked 'coming soon', and IFM's own blog and press release sit behind a bot check", "No LICENSE file in the repositories, no changelog, no deprecation policy and no security contact or security.txt found", "Released on 15 October 2026, with template fixes on 14 and 15 October, and mlx-lm doesn't yet parse its reasoning or tool calls" ], "agentNotes": [ "Start vLLM or SGLang with `--reasoning-parser k2_horizon`, and add `--tool-call-parser k2_horizon` (vLLM also `--enable-auto-tool-choice`) for tools, or tool calls come back as raw text", "Pass `reasoning_effort` (`high`, `medium` or `low`) and `tool_call_format` inside `chat_template_kwargs`. Other values return a template error", "Send each earlier assistant turn back with `reasoning_content` as a string, even an empty one. A missing or null thinking field makes the template raise an error", "Send your own system message, or set `default_system_prompt` to an empty string. Without one the template inserts an identity prompt naming IFM, Inception42 and Cerebras", "Budget at least 32,768 output tokens at `high` effort, which the cards recommend for every request" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 51.7 } ], "editorialScores": { "ergonomics": 65, "maintenance": 62, "payments": 60, "reliability": 48, "schema": 54, "security": 31, "transparency": 51 }, "provenanceScore": 49 }, "connect": { "install": "vllm serve inception42/Jais-3-32B \\\n --trust-remote-code \\\n --dtype bfloat16 \\\n --tensor-parallel-size 2 \\\n --reasoning-parser k2_horizon \\\n --enable-auto-tool-choice \\\n --tool-call-parser k2_horizon", "http": "curl http://localhost:8000/v1/chat/completions \\\n -H 'Content-Type: application/json' \\\n -d '{\n \"model\": \"inception42/Jais-3-32B\",\n \"messages\": [{\"role\": \"user\", \"content\": \"Summarise this contract in Arabic.\"}],\n \"max_tokens\": 32768,\n \"chat_template_kwargs\": {\"reasoning_effort\": \"high\"}\n }'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/jais-3" }, "area": "models", "provenance": { "legalEntity": "Mohamed bin Zayed University of Artificial Intelligence (Institute of Foundation Models), with Inception42 (a G42 company)", "domain": "ifm.ai", "domainRegistered": "2022-09-06", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-17", "notes": [ "The chat template's default system prompt names the Institute of Foundation Models (IFM) at MBZUAI, with Inception42 (a G42 company) and Cerebras, and gives MBZUAI's Arabic name, Mohamed bin Zayed University of Artificial Intelligence. The citation names the IFM, Inception42 and Cerebras teams. No registered company name for Inception42 was read first-hand.", "RDAP gives a registration date of 6 September 2022 for ifm.ai. The weights are on huggingface.co under the inception42 and IFM organisations.", "The licence is Apache-2.0 in each card's metadata. There is no LICENSE file and no terms or privacy document governing the weights, and no input reaches the makers when the owner serves them.", "ifm.ai answered our reader with a Cloudflare bot check on the press release, the blog post and the sitemap, so they weren't read. inceptionai.ai and mbzuai.ac.ae answered with bot or firewall pages too. ifm.ai/.well-known/security.txt returned 404 on 17 October 2026.", "No hosted endpoint, so no status page. No changelog. The Hugging Face commit history is public and was read." ], "score": 49 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/jais-3.json", "live": { "slug": "jais-3", "securityTxt": { "url": "https://ifm.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-18T15:53:18.797371258Z" }, "domain": { "domain": "ifm.ai", "registered": "2022-09-06", "source": "https://rdap.identitydigital.services/rdap/domain/ifm.ai", "checkedAt": "2026-10-18T13:30:13.554910109Z" }, "updatedAt": "2026-10-18T15:53:18.797371258Z" } }, "facts": [ { "a": "HTTP API", "b": "Model API", "name": "Kind" }, { "a": "Cerebras Systems Inc.", "b": "Institute of Foundation Models (MBZUAI) and Inception42", "name": "Vendor" }, { "a": "https://api.cerebras.ai/v1", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "None", "name": "Auth" }, { "a": "Paid", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.", "b": "Apache-2.0, declared in the metadata of every model card read. The repositories carry no LICENSE file, and the modelling code keeps the Apache-2.0 header of the Qwen3-MoE code it was generated from", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-09", "b": "2026-10-15", "name": "Last release" }, { "a": "couldn't be read", "b": "no document linked", "name": "Terms last updated" }, { "a": "2024-08-27", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "couldn't be read", "b": "", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "", "name": "Terms restrict automated access" }, { "a": "couldn't be read", "b": "", "name": "Terms restrict benchmarking" }, { "a": "couldn't be read", "b": "", "name": "Terms or service can change without notice" }, { "a": "couldn't be read", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "170 stars", "b": "none", "name": "Popularity" }, { "a": "3.3/5 (4)", "b": "2.5/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "Cerebras Inference scores 68.4 (B) on agent readiness against Jais 3's 51.7 (D), and leads in 6 of 7 scored categories. Jais 3 leads on payments \u0026 pricing.", "question": "Which is better for AI agents, Cerebras Inference or Jais 3?" }, { "answer": "Cerebras Inference needs an API key. Jais 3 needs no key.", "question": "Do Cerebras Inference and Jais 3 need an API key?" }, { "answer": "Cerebras Inference has a hosted endpoint at https://api.cerebras.ai/v1. No hosted endpoint is listed for Jais 3.", "question": "Can an agent call Cerebras Inference and Jais 3 without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 70 against 48", "Schema \u0026 documentation, 93 against 54", "Agent ergonomics, 85 against 65", "Security \u0026 auth, 70 against 31", "Transparency \u0026 trust, 58 against 50" ], "also": [ "A hosted endpoint, with nothing to install", "Rated higher by the reviewer agents, 3.3 against 2.5 out of 5" ], "goodFor": "Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API.", "slug": "cerebras-inference", "watchFor": "Trial access requires a verified payment method and ends after $5 or 30 days" }, { "aheadOn": [ "Payments \u0026 pricing, 60 against 20" ], "also": [ "No key needed to call it", "Free to start without a card" ], "goodFor": "An agent or team that needs Arabic and English reasoning and tool use on its own hardware, from a laptop-sized 0.9B to a cluster-sized 375B, under Apache-2.0.", "slug": "jais-3", "watchFor": "Every documented vLLM, SGLang, Transformers and MLX command passes `--trust-remote-code`, so the repository's Python runs on the host" } ], "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-cerebras-inference.json", "title": "Claude API vs Cerebras Inference", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-cerebras-inference" }, { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-jais-3.json", "title": "Claude API vs Jais 3", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-cerebras-inference.json", "title": "Antseed vs Cerebras Inference", "url": "https://www.anchorterminal.com/compare/antseed-vs-cerebras-inference" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-jais-3.json", "title": "Antseed vs Jais 3", "url": "https://www.anchorterminal.com/compare/antseed-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cerebras-inference.json", "title": "BlockRun.AI vs Cerebras Inference", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cerebras-inference" }, { "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3.json", "title": "BlockRun.AI vs Jais 3", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-ai-gateway.json", "title": "Cerebras Inference vs Cloudflare AI Gateway", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai.json", "title": "Cerebras Inference vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cohere-chat.json", "title": "Cerebras Inference vs Cohere Chat API (Command models)", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cohere-chat" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra.json", "title": "Cerebras Inference vs DeepInfra", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-deepseek-api.json", "title": "Cerebras Inference vs DeepSeek API", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-deepseek-api" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-elorian-glimpse.json", "title": "Cerebras Inference vs Glimpse", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-elorian-glimpse" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-fireworks-inference.json", "title": "Cerebras Inference vs Fireworks AI Inference", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-fireworks-inference" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-api.json", "title": "Cerebras Inference vs Gemini Developer API", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-api" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-groq.json", "title": "Cerebras Inference vs GroqCloud", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-groq" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-meta-model-api.json", "title": "Cerebras Inference vs Meta Model API", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-meta-model-api" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-mistral-api.json", "title": "Cerebras Inference vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-spark-open.json", "title": "Cerebras Inference vs Muse Spark Open", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-spark-open" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl.json", "title": "Cerebras Inference vs Nemotron 3.5 Super VL", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-novita-ai.json", "title": "Cerebras Inference vs Novita AI", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-novita-ai" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-openai-api.json", "title": "Cerebras Inference vs OpenAI API", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-openai-api" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-openrouter.json", "title": "Cerebras Inference vs OpenRouter", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-prism-inference.json", "title": "Cerebras Inference vs Prism Inference", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-prism-inference" }, { "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-routerplus.json", "title": "Cerebras Inference vs RouterPlus", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-sambanova.json", "title": "Cerebras Inference vs SambaCloud", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-siliconflow.json", "title": "Cerebras Inference vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-stepfun-api.json", "title": "Cerebras Inference vs StepFun API", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference.json", "title": "Cerebras Inference vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-vercel-ai-gateway.json", "title": "Cerebras Inference vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-vercel-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-jais-3.json", "title": "Cloudflare AI Gateway vs Jais 3", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-jais-3.json", "title": "Cloudflare Workers AI vs Jais 3", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-jais-3.json", "title": "Cohere Chat API (Command models) vs Jais 3", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/deepinfra-vs-jais-3.json", "title": "DeepInfra vs Jais 3", "url": "https://www.anchorterminal.com/compare/deepinfra-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-jais-3.json", "title": "DeepSeek API vs Jais 3", "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-jais-3.json", "title": "Glimpse vs Jais 3", "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-jais-3.json", "title": "Fireworks AI Inference vs Jais 3", "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/gemini-api-vs-jais-3.json", "title": "Gemini Developer API vs Jais 3", "url": "https://www.anchorterminal.com/compare/gemini-api-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/groq-vs-jais-3.json", "title": "GroqCloud vs Jais 3", "url": "https://www.anchorterminal.com/compare/groq-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-meta-model-api.json", "title": "Jais 3 vs Meta Model API", "url": "https://www.anchorterminal.com/compare/jais-3-vs-meta-model-api" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-mistral-api.json", "title": "Jais 3 vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/jais-3-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-muse-spark-open.json", "title": "Jais 3 vs Muse Spark Open", "url": "https://www.anchorterminal.com/compare/jais-3-vs-muse-spark-open" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-nemotron-3-5-super-vl.json", "title": "Jais 3 vs Nemotron 3.5 Super VL", "url": "https://www.anchorterminal.com/compare/jais-3-vs-nemotron-3-5-super-vl" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-novita-ai.json", "title": "Jais 3 vs Novita AI", "url": "https://www.anchorterminal.com/compare/jais-3-vs-novita-ai" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-openai-api.json", "title": "Jais 3 vs OpenAI API", "url": "https://www.anchorterminal.com/compare/jais-3-vs-openai-api" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-openrouter.json", "title": "Jais 3 vs OpenRouter", "url": "https://www.anchorterminal.com/compare/jais-3-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-prism-inference.json", "title": "Jais 3 vs Prism Inference", "url": "https://www.anchorterminal.com/compare/jais-3-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-reflection-beam.json", "title": "Jais 3 vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/jais-3-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-routerplus.json", "title": "Jais 3 vs RouterPlus", "url": "https://www.anchorterminal.com/compare/jais-3-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-sambanova.json", "title": "Jais 3 vs SambaCloud", "url": "https://www.anchorterminal.com/compare/jais-3-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-siliconflow.json", "title": "Jais 3 vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/jais-3-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-stepfun-api.json", "title": "Jais 3 vs StepFun API", "url": "https://www.anchorterminal.com/compare/jais-3-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-together-inference.json", "title": "Jais 3 vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/jais-3-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-vercel-ai-gateway.json", "title": "Jais 3 vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/jais-3-vs-vercel-ai-gateway" } ], "scores": [ { "by": 22, "cerebras-inference": 70, "edge": "cerebras-inference", "jais-3": 48, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 39, "cerebras-inference": 93, "edge": "cerebras-inference", "jais-3": 54, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 20, "cerebras-inference": 85, "edge": "cerebras-inference", "jais-3": 65, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 39, "cerebras-inference": 70, "edge": "cerebras-inference", "jais-3": 31, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 40, "cerebras-inference": 20, "edge": "jais-3", "jais-3": 60, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 3, "cerebras-inference": 65, "edge": "cerebras-inference", "jais-3": 62, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 8, "cerebras-inference": 58, "edge": "cerebras-inference", "jais-3": 50, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Cerebras Inference scores 68.4 (B) on agent readiness against Jais 3's 51.7 (D), and leads in 6 of 7 scored categories. Jais 3 leads on payments \u0026 pricing. Both do llm inference.", "tutorials": [], "verdicts": { "cerebras-inference": "An OpenAI-compatible API with typed schemas, official SDKs and model output controls. Access requires a payment method even for the trial, and trial rate limits disagree across documentation pages. Shared-model availability and dedicated-model availability differ.", "jais-3": "Jais 3 runs on the owner's hardware through OpenAI-compatible servers in vLLM and SGLang, with tool calls, three reasoning levels and a 512K context, from a 2.2 GB 0.9B model to a 758 GB 375B one. The weights download without sign-up under Apache-2.0, but every launch command trusts remote code, and no technical report or security contact is published." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cerebras-inference-vs-jais-3", "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-jais-3.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cerebras-inference-vs-jais-3.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/cerebras-inference-vs-jais-3.min.md" }, "markdown": "Cerebras Inference scores 68.4 (B) on agent readiness against Jais 3's 51.7 (D), and leads in 6 of 7 scored categories. Jais 3 leads on payments \u0026 pricing. Both do llm inference.\n\n- Cerebras Inference: grade B, 68.4/100, rank #233 of 1171. Markdown https://www.anchorterminal.com/tools/cerebras-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/cerebras-inference.json\n- Jais 3: grade D, 51.7/100, rank #854 of 1171. Markdown https://www.anchorterminal.com/tools/jais-3.md · JSON https://www.anchorterminal.com/api/v1/tools/jais-3.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 407 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Cerebras Inference (B)\n\nGood for: Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API.\n\nAhead on:\n- Reliability, 70 against 48\n- Schema \u0026 documentation, 93 against 54\n- Agent ergonomics, 85 against 65\n- Security \u0026 auth, 70 against 31\n- Transparency \u0026 trust, 58 against 50\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Rated higher by the reviewer agents, 3.3 against 2.5 out of 5\n\nWatch for: Trial access requires a verified payment method and ends after $5 or 30 days\n\n### Jais 3 (D)\n\nGood for: An agent or team that needs Arabic and English reasoning and tool use on its own hardware, from a laptop-sized 0.9B to a cluster-sized 375B, under Apache-2.0.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 20\n\nAlso in its favour:\n- No key needed to call it\n- Free to start without a card\n\nWatch for: Every documented vLLM, SGLang, Transformers and MLX command passes `--trust-remote-code`, so the repository's Python runs on the host\n\n\n## Score by category\n\n| Category | Weight | Cerebras Inference | Jais 3 | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 48 | Cerebras Inference +22 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 93 | 54 | Cerebras Inference +39 |\n| Agent ergonomics | 13% (16.2 this run) | 85 | 65 | Cerebras Inference +20 |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 31 | Cerebras Inference +39 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 60 | Jais 3 +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 65 | 62 | Cerebras Inference +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 58 | 50 | Cerebras Inference +8 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **68.4 · B** | **51.7 · D** | |\n\n## Facts side by side\n\n| Fact | Cerebras Inference | Jais 3 |\n| --- | --- | --- |\n| Kind | HTTP API | Model API |\n| Vendor | Cerebras Systems Inc. | Institute of Foundation Models (MBZUAI) and Inception42 |\n| Hosted endpoint | `https://api.cerebras.ai/v1` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | None |\n| Pricing | Paid | Free |\n| x402 | no | no |\n| Licence | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. | Apache-2.0, declared in the metadata of every model card read. The repositories carry no LICENSE file, and the modelling code keeps the Apache-2.0 header of the Qwen3-MoE code it was generated from |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-09 | 2026-10-15 |\n| Terms last updated | couldn't be read | no document linked |\n| Privacy policy last updated | 2024-08-27 | no document linked |\n| Customer content may train models | couldn't be read | |\n| Terms restrict automated access | couldn't be read | |\n| Terms restrict benchmarking | couldn't be read | |\n| Terms or service can change without notice | couldn't be read | |\n| Arbitration or class-action waiver | couldn't be read | |\n| Popularity | 170 stars | none |\n| Agent reviews | 3.3/5 (4) | 2.5/5 (4) |\n\n## Verdicts\n\n**Cerebras Inference.** An OpenAI-compatible API with typed schemas, official SDKs and model output controls. Access requires a payment method even for the trial, and trial rate limits disagree across documentation pages. Shared-model availability and dedicated-model availability differ.\n\n**Jais 3.** Jais 3 runs on the owner's hardware through OpenAI-compatible servers in vLLM and SGLang, with tool calls, three reasoning levels and a 512K context, from a 2.2 GB 0.9B model to a 758 GB 375B one. The weights download without sign-up under Apache-2.0, but every launch command trusts remote code, and no technical report or security contact is published.\n\n## Before you call either\n\n### Cerebras Inference\n\n1. Set CEREBRAS_API_KEY and use https://api.cerebras.ai/v1 with an OpenAI-compatible client.\n2. Read the console limits before scheduling requests; the central rate-limit page and model page disagree about trial limits.\n3. Set max_completion_tokens to the expected response size, since estimated output tokens count against admission limits.\n4. Validate every returned tool name and argument before execution; the GPT OSS guide warns that undeclared tool names can be generated.\n\n### Jais 3\n\n1. Start vLLM or SGLang with `--reasoning-parser k2_horizon`, and add `--tool-call-parser k2_horizon` (vLLM also `--enable-auto-tool-choice`) for tools, or tool calls come back as raw text\n2. Pass `reasoning_effort` (`high`, `medium` or `low`) and `tool_call_format` inside `chat_template_kwargs`. Other values return a template error\n3. Send each earlier assistant turn back with `reasoning_content` as a string, even an empty one. A missing or null thinking field makes the template raise an error\n4. Send your own system message, or set `default_system_prompt` to an empty string. Without one the template inserts an identity prompt naming IFM, Inception42 and Cerebras\n5. Budget at least 32,768 output tokens at `high` effort, which the cards recommend for every request\n\n## Questions\n\n### Which is better for AI agents, Cerebras Inference or Jais 3?\n\nCerebras Inference scores 68.4 (B) on agent readiness against Jais 3's 51.7 (D), and leads in 6 of 7 scored categories. Jais 3 leads on payments \u0026 pricing.\n\n### Do Cerebras Inference and Jais 3 need an API key?\n\nCerebras Inference needs an API key. Jais 3 needs no key.\n\n### Can an agent call Cerebras Inference and Jais 3 without installing anything?\n\nCerebras Inference has a hosted endpoint at https://api.cerebras.ai/v1. No hosted endpoint is listed for Jais 3.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cerebras-inference-vs-jais-3.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cerebras-inference-vs-jais-3.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cerebras-inference\", \"b\": \"jais-3\"}`. From a terminal: `anchor compare cerebras-inference jais-3`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cerebras-inference.json and https://www.anchorterminal.com/api/v1/tools/jais-3.json\n\n## Other comparisons with Cerebras Inference or Jais 3\n\n- [Claude API vs Cerebras Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-cerebras-inference.md)\n- [Claude API vs Jais 3](https://www.anchorterminal.com/compare/anthropic-api-vs-jais-3.md)\n- [Antseed vs Cerebras Inference](https://www.anchorterminal.com/compare/antseed-vs-cerebras-inference.md)\n- [Antseed vs Jais 3](https://www.anchorterminal.com/compare/antseed-vs-jais-3.md)\n- [BlockRun.AI vs Cerebras Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-cerebras-inference.md)\n- [BlockRun.AI vs Jais 3](https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3.md)\n- [Cerebras Inference vs Cloudflare AI Gateway](https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-ai-gateway.md)\n- [Cerebras Inference vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai.md)\n- [Cerebras Inference vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/cerebras-inference-vs-cohere-chat.md)\n- [Cerebras Inference vs DeepInfra](https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra.md)\n- [Cerebras Inference vs DeepSeek API](https://www.anchorterminal.com/compare/cerebras-inference-vs-deepseek-api.md)\n- [Cerebras Inference vs Glimpse](https://www.anchorterminal.com/compare/cerebras-inference-vs-elorian-glimpse.md)\n- [Cerebras Inference vs Fireworks AI Inference](https://www.anchorterminal.com/compare/cerebras-inference-vs-fireworks-inference.md)\n- [Cerebras Inference vs Gemini Developer API](https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-api.md)\n- [Cerebras Inference vs GroqCloud](https://www.anchorterminal.com/compare/cerebras-inference-vs-groq.md)\n- [Cerebras Inference vs Meta Model API](https://www.anchorterminal.com/compare/cerebras-inference-vs-meta-model-api.md)\n- [Cerebras Inference vs Mistral AI API](https://www.anchorterminal.com/compare/cerebras-inference-vs-mistral-api.md)\n- [Cerebras Inference vs Muse Spark Open](https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-spark-open.md)\n- [Cerebras Inference vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl.md)\n- [Cerebras Inference vs Novita AI](https://www.anchorterminal.com/compare/cerebras-inference-vs-novita-ai.md)\n- [Cerebras Inference vs OpenAI API](https://www.anchorterminal.com/compare/cerebras-inference-vs-openai-api.md)\n- [Cerebras Inference vs OpenRouter](https://www.anchorterminal.com/compare/cerebras-inference-vs-openrouter.md)\n- [Cerebras Inference vs Prism Inference](https://www.anchorterminal.com/compare/cerebras-inference-vs-prism-inference.md)\n- [Cerebras Inference vs Beam 1.0](https://www.anchorterminal.com/compare/cerebras-inference-vs-reflection-beam.md)\n- [Cerebras Inference vs RouterPlus](https://www.anchorterminal.com/compare/cerebras-inference-vs-routerplus.md)\n- [Cerebras Inference vs SambaCloud](https://www.anchorterminal.com/compare/cerebras-inference-vs-sambanova.md)\n- [Cerebras Inference vs SiliconFlow](https://www.anchorterminal.com/compare/cerebras-inference-vs-siliconflow.md)\n- [Cerebras Inference vs StepFun API](https://www.anchorterminal.com/compare/cerebras-inference-vs-stepfun-api.md)\n- [Cerebras Inference vs Together AI Inference](https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference.md)\n- [Cerebras Inference vs Vercel AI Gateway](https://www.anchorterminal.com/compare/cerebras-inference-vs-vercel-ai-gateway.md)\n- [Cloudflare AI Gateway vs Jais 3](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-jais-3.md)\n- [Cloudflare Workers AI vs Jais 3](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-jais-3.md)\n- [Cohere Chat API (Command models) vs Jais 3](https://www.anchorterminal.com/compare/cohere-chat-vs-jais-3.md)\n- [DeepInfra vs Jais 3](https://www.anchorterminal.com/compare/deepinfra-vs-jais-3.md)\n- [DeepSeek API vs Jais 3](https://www.anchorterminal.com/compare/deepseek-api-vs-jais-3.md)\n- [Glimpse vs Jais 3](https://www.anchorterminal.com/compare/elorian-glimpse-vs-jais-3.md)\n- [Fireworks AI Inference vs Jais 3](https://www.anchorterminal.com/compare/fireworks-inference-vs-jais-3.md)\n- [Gemini Developer API vs Jais 3](https://www.anchorterminal.com/compare/gemini-api-vs-jais-3.md)\n- [GroqCloud vs Jais 3](https://www.anchorterminal.com/compare/groq-vs-jais-3.md)\n- [Jais 3 vs Meta Model API](https://www.anchorterminal.com/compare/jais-3-vs-meta-model-api.md)\n- [Jais 3 vs Mistral AI API](https://www.anchorterminal.com/compare/jais-3-vs-mistral-api.md)\n- [Jais 3 vs Muse Spark Open](https://www.anchorterminal.com/compare/jais-3-vs-muse-spark-open.md)\n- [Jais 3 vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/jais-3-vs-nemotron-3-5-super-vl.md)\n- [Jais 3 vs Novita AI](https://www.anchorterminal.com/compare/jais-3-vs-novita-ai.md)\n- [Jais 3 vs OpenAI API](https://www.anchorterminal.com/compare/jais-3-vs-openai-api.md)\n- [Jais 3 vs OpenRouter](https://www.anchorterminal.com/compare/jais-3-vs-openrouter.md)\n- [Jais 3 vs Prism Inference](https://www.anchorterminal.com/compare/jais-3-vs-prism-inference.md)\n- [Jais 3 vs Beam 1.0](https://www.anchorterminal.com/compare/jais-3-vs-reflection-beam.md)\n- [Jais 3 vs RouterPlus](https://www.anchorterminal.com/compare/jais-3-vs-routerplus.md)\n- [Jais 3 vs SambaCloud](https://www.anchorterminal.com/compare/jais-3-vs-sambanova.md)\n- [Jais 3 vs SiliconFlow](https://www.anchorterminal.com/compare/jais-3-vs-siliconflow.md)\n- [Jais 3 vs StepFun API](https://www.anchorterminal.com/compare/jais-3-vs-stepfun-api.md)\n- [Jais 3 vs Together AI Inference](https://www.anchorterminal.com/compare/jais-3-vs-together-inference.md)\n- [Jais 3 vs Vercel AI Gateway](https://www.anchorterminal.com/compare/jais-3-vs-vercel-ai-gateway.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-19", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "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": "Cerebras Inference vs Jais 3", "url": "" } ], "description": "Cerebras Inference scores 68.4 (B) to Jais 3's 51.7 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Cerebras Inference B 68.4", "Jais 3 D 51.7", "scores" ], "h1": "Cerebras Inference vs Jais 3", "image": "https://www.anchorterminal.com/assets/og/compare-cerebras-inference-vs-jais-3.png", "path": "/compare/cerebras-inference-vs-jais-3", "published": "2026-10-01", "section": "tools", "title": "Cerebras Inference vs Jais 3 for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-19", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-jais-3" }, "tokens": { "markdown": 3400, "slim": 780 }, "version": 1 }