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Head to head · LLM inference · October 2026 research run

Cohere Chat API (Command models) vs SiliconFlow

Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against SiliconFlow's 46.7 (D), and leads in 6 of 7 scored categories. SiliconFlow leads on payments & pricing. 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 SiliconFlowSiliconFlow Labs Pte. Ltd. · Model API D46.7/100#848 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

  • Reliability, 64 against 33
  • Schema & documentation, 84 against 65
  • Agent ergonomics, 72 against 60
  • Security & auth, 57 against 39
  • Maintenance & community, 72 against 47
  • Transparency & trust, 74 against 51

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

SiliconFlow D

Good 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, 35 against 30

Watch for

No status page, incident history or SLA was found, and the terms disclaim any uptime or availability commitment

Score by category

CategoryWeight this runCohere Chat API (Command models)SiliconFlowEdge
Reliability16%206433Cohere Chat API (Command models) +31
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28465Cohere Chat API (Command models) +19
Agent ergonomics13%16.27260Cohere Chat API (Command models) +12
Security & auth14%17.55739Cohere Chat API (Command models) +18
Payments & pricing10%12.53035SiliconFlow +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87247Cohere Chat API (Command models) +25
Transparency & trust7%8.87451Cohere Chat API (Command models) +23
Negative events≤1500
Total64.7 · B46.7 · D

Facts side by side

FactCohere Chat API (Command models)SiliconFlow
KindModel APIModel API
VendorCohereSiliconFlow Labs Pte. Ltd.
Hosted endpointhttps://api.cohere.com/v2/chathttps://api.siliconflow.com/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumPay per use
x402nono
LicenceProprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MITProprietary service under the SiliconFlow Terms of Use
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-092026-09-14
Terms last updated2025-04-08no date given
Privacy policy last updated2026-05-01no date given
Customer content may train modelsyesnot found in the text
Terms restrict automated accessnot found in the textyes
Terms restrict benchmarkingyesyes
Terms or service can change without noticeyesyes
Arbitration or class-action waivernot found in the textyes

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.

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

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

SiliconFlow

  1. Set the OpenAI client's base URL to https://api.siliconflow.com/v1, or the Anthropic client's to https://api.siliconflow.com/, and send the key as a Bearer token
  2. 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
  3. Check the model field of each response. On 11 June 2026 traffic for GLM-5 and Kimi-K2.5 was routed to successor models
  4. Use response_format of json_object only where the model page says JSON Mode is supported, and keep max_tokens about 10,000 below the context length
  5. 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, Cohere Chat API (Command models) or SiliconFlow?

Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against SiliconFlow's 46.7 (D), and leads in 6 of 7 scored categories. SiliconFlow leads on payments & pricing.

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

Both need an API key.

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

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

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

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