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Head to head · LLM inference · October 2026 research run

Cohere Chat API (Command models) vs StepFun API

Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against StepFun API's 44.4 (E), and leads in every scored category. Both do llm inference.

Best model APIs and inference for AI agents · All 153 models comparisons

Cohere Chat API (Command models)Cohere · Model API B64.7/100#346 of 965 StepFun APIStepFun · Model API E44.4/100#889 of 965

Which one, for what

Cohere Chat API (Command models) B

Best 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

  • Reliability, 64 against 28
  • Schema & documentation, 84 against 53
  • Security & auth, 57 against 41
  • Payments & pricing, 30 against 20
  • Maintenance & community, 72 against 50
  • Transparency & trust, 74 against 58

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

StepFun API E

Best for Long-context agent and coding work over text, screenshots and video at a low per-token price, where a preview model is acceptable.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

Step 5 Preview is labelled a preview, and no release date or support commitment was found

Score by category

CategoryWeight this runCohere Chat API (Command models)StepFun APIEdge
Reliability16%206428Cohere Chat API (Command models) +36
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28453Cohere Chat API (Command models) +31
Agent ergonomics13%16.27268Cohere Chat API (Command models) +4
Security & auth14%17.55741Cohere Chat API (Command models) +16
Payments & pricing10%12.53020Cohere Chat API (Command models) +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87250Cohere Chat API (Command models) +22
Transparency & trust7%8.87458Cohere Chat API (Command models) +16
Negative events≤1500
TotalB 64.7/100E 44.4/100

Facts side by side

FactCohere Chat API (Command models)StepFun API
KindModel APIModel API
VendorCohereStepFun
Hosted endpointhttps://api.cohere.com/v2/chathttps://api.stepfun.ai/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumPay per use
x402nono
LicenceProprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MITClosed service under the StepFun Open Platform Terms of Service (STEPFUN TECHNOLOGY (HK) LIMITED, Hong Kong law).
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-09none
Terms last updated2025-04-08
Privacy policy last updated2026-05-01
Customer content may train modelsyes
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingyes
Terms or service can change without noticeyes
Arbitration or class-action waivernot found in the text

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.

StepFun API

StepFun's API serves Step 5 Preview with a 1M-token context, video input, strict JSON Schema output and published per-token prices, documented in Markdown with an llms.txt. The model is a preview with no release date found, there's no free allowance or SLA, and the terms and privacy policy leave room to train on customer data.

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

StepFun API

  1. Set max_tokens yourself. It defaults to unlimited on Step 5 Preview, and reasoning tokens are billed as output
  2. Use response_format with type: json_schema and strict: true when the shape matters. JSON Mode alone isn't schema-checked
  3. Back off and retry on 429, 500, 503 and 504. The docs give no Retry-After header or backoff schedule
  4. Expect HTTP 451 or finish_reason: content_filter when content fails StepFun's review, and don't retry the same input
  5. Use api.stepfun.ai for the international platform. api.stepfun.com is the China platform with yuan pricing

Questions

Which is better for AI agents, Cohere Chat API (Command models) or StepFun API?

Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against StepFun API's 44.4 (E), and leads in every scored category.

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

Both need an API key.

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

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

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

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