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Head to head · LLM inference · October 2026 research run

Cohere Chat API (Command models) vs SambaCloud

SambaCloud scores 66.4 (B) on agent readiness against Cohere Chat API (Command models)'s 64.7 (B), and leads in 4 of 7 scored categories. Cohere Chat API (Command models) leads on agent ergonomics and transparency & trust. 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 SambaCloudSambaNova Systems, Inc. · Model API B66.4/100#293 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

  • Agent ergonomics, 72 against 67
  • Transparency & trust, 74 against 63

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

SambaCloud B

Good for Agents that want open-weight models behind an OpenAI or Anthropic client with a free start and prices an agent can read from the API.

Ahead on

  • Reliability, 85 against 64
  • Payments & pricing, 40 against 30
  • Maintenance & community, 77 against 72

Watch for

Production models get a notice of two to three weeks, and 13 model ids were removed between 9 March and 9 June 2026

Score by category

CategoryWeight this runCohere Chat API (Command models)SambaCloudEdge
Reliability16%206485SambaCloud +21
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28481Cohere Chat API (Command models) +3
Agent ergonomics13%16.27267Cohere Chat API (Command models) +5
Security & auth14%17.55758SambaCloud +1
Payments & pricing10%12.53040SambaCloud +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87277SambaCloud +5
Transparency & trust7%8.87463Cohere Chat API (Command models) +11
Negative events≤150-2
Total64.7 · B66.4 · B

Facts side by side

FactCohere Chat API (Command models)SambaCloud
KindModel APIModel API
VendorCohereSambaNova Systems, Inc.
Hosted endpointhttps://api.cohere.com/v2/chathttps://api.sambanova.ai/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumFreemium
x402nono
LicenceProprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MITProprietary service under the SambaCloud Terms of Service. The SDKs and the OpenAPI document are Apache-2.0
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-092026-09-17
Terms last updated2025-04-08no date given
Privacy policy last updated2026-05-012023-05-27
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 textnot found in the text
Popularitynone2 stars, 76 npm/wk, 6.1k 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.

SambaCloud

Per-token prices and the model list are readable without a key at /v1/models, and a free tier needs no card. Production models get two to three weeks' notice before removal, 13 model ids left between March and June 2026, and the docs disagree with the live catalogue on MiniMax-M2.7.

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

SambaCloud

  1. Call GET https://api.sambanova.ai/v1/models at start-up and use only ids it returns. The docs name models the endpoint no longer lists
  2. Read x-ratelimit-remaining-requests and x-ratelimit-remaining-requests-day on every response. The free tier allows 20 requests a day per model
  3. Treat 429 queue_full and 503 maintenance as retryable after a delay, and 410 model_deprecated as a signal to change model
  4. Validate JSON output yourself. Schema enforcement is best effort and strict: true changes nothing
  5. Check max_completion_tokens per model. DeepSeek-V3.1 caps output at 7,168 tokens and Llama 3.3 70B at 3,072

Questions

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

SambaCloud scores 66.4 (B) on agent readiness against Cohere Chat API (Command models)'s 64.7 (B), and leads in 4 of 7 scored categories. Cohere Chat API (Command models) leads on agent ergonomics and transparency & trust.

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

Both need an API key.

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

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

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

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