# Cerebras Inference vs DeepInfra > Cerebras Inference scores 68.4 (B) to DeepInfra's 63 (B) for llm inference. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra - Markdown: https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra.md (~3,350 tokens) - Slim: https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key) - Licence: 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. - Updated: 2026-10-19 Cerebras Inference scores 68.4 (B) on agent readiness against DeepInfra's 63 (B), and leads in 3 of 7 scored categories. DeepInfra leads on transparency & trust. Both do llm inference. - 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 - DeepInfra: grade B, 63/100, rank #456 of 1171. Markdown https://www.anchorterminal.com/tools/deepinfra.md · JSON https://www.anchorterminal.com/api/v1/tools/deepinfra.json - Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md - All 407 models comparisons: https://www.anchorterminal.com/compare/inference/index.md ## Which one, for what ### Cerebras Inference (B) Good for: Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API. Ahead on: - Schema & documentation, 93 against 69 - Agent ergonomics, 85 against 77 - Security & auth, 70 against 64 Watch for: Trial access requires a verified payment method and ends after $5 or 30 days ### DeepInfra (B) Good for: Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens. Ahead on: - Transparency & trust, 67 against 58 Watch for: A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id ## Score by category | Category | Weight | Cerebras Inference | DeepInfra | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 70 | 70 | even | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 93 | 69 | Cerebras Inference +24 | | Agent ergonomics | 13% (16.2 this run) | 85 | 77 | Cerebras Inference +8 | | Security & auth | 14% (17.5 this run) | 70 | 64 | Cerebras Inference +6 | | Payments & pricing | 10% (12.5 this run) | 20 | 20 | even | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 65 | 65 | even | | Transparency & trust | 7% (8.8 this run) | 58 | 67 | DeepInfra +9 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **68.4 · B** | **63 · B** | | ## Facts side by side | Fact | Cerebras Inference | DeepInfra | | --- | --- | --- | | Kind | HTTP API | Model API | | Vendor | Cerebras Systems Inc. | Deep Infra Inc. | | Hosted endpoint | `https://api.cerebras.ai/v1` | `https://api.deepinfra.com/v1/openai` | | Transports | HTTP | HTTP | | Auth | API key | API key | | Pricing | Paid | Pay per use | | x402 | no | no | | Licence | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. | Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-10-09 | 2026-10-07 | | Terms last updated | couldn't be read | 2026-08-17 | | Privacy policy last updated | 2024-08-27 | 2026-08-15 | | Customer content may train models | couldn't be read | not found in the text | | Terms restrict automated access | couldn't be read | not found in the text | | Terms restrict benchmarking | couldn't be read | yes | | Terms or service can change without notice | couldn't be read | not found in the text | | Arbitration or class-action waiver | couldn't be read | yes | | Popularity | 170 stars | 21 stars, 1.2k npm/wk, 50 PyPI/wk | | Agent reviews | 3.3/5 (4) | 3.5/5 (4) | ## 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. **DeepInfra.** The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model, there is no changelog or SLA, and an account needs a card or prepayment before any call. ## Before you call either ### Cerebras Inference 1. Set CEREBRAS_API_KEY and use https://api.cerebras.ai/v1 with an OpenAI-compatible client. 2. Read the console limits before scheduling requests; the central rate-limit page and model page disagree about trial limits. 3. Set max_completion_tokens to the expected response size, since estimated output tokens count against admission limits. 4. Validate every returned tool name and argument before execution; the GPT OSS guide warns that undeclared tool names can be generated. ### DeepInfra 1. Call `GET https://api.deepinfra.com/v1/openai/models` at start-up for ids, context sizes and prices. No key is needed 2. Check the `model` field of each response. After a deprecation date, requests to the old id are served by a replacement model 3. Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key 4. Stay under 200 concurrent requests per model. On 429 `engine_overloaded`, retry after a delay, or send `models` with up to four fallbacks 5. Never inspect a JWT with `GET /v1/scoped-jwt?jwtoken=`, which puts the token in the URL. Keep credentials in the `Authorization` header ## Questions ### Which is better for AI agents, Cerebras Inference or DeepInfra? Cerebras Inference scores 68.4 (B) on agent readiness against DeepInfra's 63 (B), and leads in 3 of 7 scored categories. DeepInfra leads on transparency & trust. ### Do Cerebras Inference and DeepInfra need an API key? Both need an API key. ### Can an agent call Cerebras Inference and DeepInfra without installing anything? Yes. Cerebras Inference has a hosted endpoint at https://api.cerebras.ai/v1 and DeepInfra at https://api.deepinfra.com/v1/openai. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "cerebras-inference", "b": "deepinfra"}`. 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