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Head to head · LLM inference · October 2026 research run

Cohere Chat API (Command models) vs DeepInfra

Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against DeepInfra's 63 (B), and leads in 4 of 7 scored categories. DeepInfra leads on reliability, agent ergonomics and security & auth. Both do llm inference.

Best model APIs and inference for AI agents · All 136 models comparisons

Cohere Chat API (Command models)Cohere · Model API B64.7/100#342 of 950 DeepInfraDeep Infra Inc. · Model API B63/100#411 of 950

Which one, for what

Cohere Chat API (Command models) B

Good for Teams that want Command models for RAG with citations, tool use and multilingual work, and that may later move to a private deployment or Model Vault.

Ahead on

  • Schema & documentation, 84 against 69
  • Payments & pricing, 30 against 20
  • Maintenance & community, 72 against 65
  • Transparency & trust, 74 against 67

Also in its favour

  • Free to start without a card

Watch for

Production keys work like trial keys on Command A+, Reasoning, Translate and Vision. The docs send production use of those models to sales or to Model Vault

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

  • Reliability, 70 against 64
  • Agent ergonomics, 77 against 72
  • Security & auth, 64 against 57

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

CategoryWeight this runCohere Chat API (Command models)DeepInfraEdge
Reliability16%206470DeepInfra +6
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28469Cohere Chat API (Command models) +15
Agent ergonomics13%16.27277DeepInfra +5
Security & auth14%17.55764DeepInfra +7
Payments & pricing10%12.53020Cohere Chat API (Command models) +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87265Cohere Chat API (Command models) +7
Transparency & trust7%8.87467Cohere Chat API (Command models) +7
Negative events≤1500
Total64.7 · B63 · B

Facts side by side

FactCohere Chat API (Command models)DeepInfra
KindModel APIModel API
VendorCohereDeep Infra Inc.
Hosted endpointhttps://api.cohere.com/v2/chathttps://api.deepinfra.com/v1/openai
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumPay per use
x402nono
LicenceProprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MITProprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-092026-10-07
Terms last updated2025-04-082026-08-17
Privacy policy last updated2026-05-012026-08-15
Customer content may train modelsyesnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingyesyes
Terms or service can change without noticeyesnot found in the text
Arbitration or class-action waivernot found in the textyes
Popularitynone21 stars, 1.2k npm/wk, 50 PyPI/wk

Verdicts

Cohere Chat API (Command models)

A public OpenAPI file, Markdown twins of every docs page and SDKs in four languages make the Chat API easy for an agent to read. Production keys do not cover the four newest Command models, whose limits are set by sales, and the SaaS agreement lets Cohere share API data with third parties.

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

Cohere Chat API (Command models)

  1. Call POST https://api.cohere.com/v2/chat with Authorization: bearer <key>. model and messages are the only required fields
  2. Use command-a-03-2025, command-r-08-2024, command-r-plus-08-2024 or command-r7b-12-2024 for production traffic. Newer variants stay at trial limits on a production key
  3. Keep a trial key under 20 chat requests a minute and 1,000 calls a month, and do not use it for commercial work
  4. Set response_format with a json_schema for structured output, and tell the model to produce JSON when using json_object without a schema
  5. Ask the account Owner to turn off training under Data Controls in the dashboard before sending confidential prompts

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, Cohere Chat API (Command models) or DeepInfra?

Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against DeepInfra's 63 (B), and leads in 4 of 7 scored categories. DeepInfra leads on reliability, agent ergonomics and security & auth.

Do Cohere Chat API (Command models) and DeepInfra need an API key?

Both need an API key.

Can an agent call Cohere Chat API (Command models) and DeepInfra without installing anything?

Yes. Cohere Chat API (Command models) has a hosted endpoint at https://api.cohere.com/v2/chat and DeepInfra at https://api.deepinfra.com/v1/openai.

Other comparisons with Cohere Chat API (Command models) or DeepInfra

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