Head to head · LLM inference · October 2026 research run

SambaCloud vs SiliconFlow

SambaCloud scores 66.4 (B) on agent readiness against SiliconFlow's 46.7 (D), and leads in every scored category. Both do llm inference.

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

Which one, for what

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 33
  • Schema & documentation, 81 against 65
  • Agent ergonomics, 67 against 60
  • Security & auth, 58 against 39
  • Payments & pricing, 40 against 35
  • Maintenance & community, 77 against 47
  • Transparency & trust, 63 against 51

Also in its favour

  • Free to start without a card

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

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.

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

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 runSambaCloudSiliconFlowEdge
Reliability16%208533SambaCloud +52
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28165SambaCloud +16
Agent ergonomics13%16.26760SambaCloud +7
Security & auth14%17.55839SambaCloud +19
Payments & pricing10%12.54035SambaCloud +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87747SambaCloud +30
Transparency & trust7%8.86351SambaCloud +12
Negative events≤15-20
Total66.4 · B46.7 · D

Facts side by side

FactSambaCloudSiliconFlow
KindModel APIModel API
VendorSambaNova Systems, Inc.SiliconFlow Labs Pte. Ltd.
Hosted endpointhttps://api.sambanova.ai/v1https://api.siliconflow.com/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumPay per use
x402nono
LicenceProprietary service under the SambaCloud Terms of Service. The SDKs and the OpenAPI document are Apache-2.0Proprietary service under the SiliconFlow Terms of Use
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-172026-09-14
Terms last updatedno date givenno date given
Privacy policy last updated2023-05-27no date given
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textyes
Terms restrict benchmarkingyesyes
Terms or service can change without noticenot found in the textyes
Arbitration or class-action waivernot found in the textyes
Popularity2 stars, 76 npm/wk, 6.1k PyPI/wknone

Verdicts

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.

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

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

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, SambaCloud or SiliconFlow?

SambaCloud scores 66.4 (B) on agent readiness against SiliconFlow's 46.7 (D), and leads in every scored category.

Do SambaCloud and SiliconFlow need an API key?

Both need an API key.

Can an agent call SambaCloud and SiliconFlow without installing anything?

Yes. SambaCloud has a hosted endpoint at https://api.sambanova.ai/v1 and SiliconFlow at https://api.siliconflow.com/v1.

Other comparisons with SambaCloud or SiliconFlow

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