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
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
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
| Category | Weight this run | SambaCloud | SiliconFlow | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 85 | 33 | SambaCloud +52 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 81 | 65 | SambaCloud +16 |
| Agent ergonomics | 13%16.2 | 67 | 60 | SambaCloud +7 |
| Security & auth | 14%17.5 | 58 | 39 | SambaCloud +19 |
| Payments & pricing | 10%12.5 | 40 | 35 | SambaCloud +5 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 77 | 47 | SambaCloud +30 |
| Transparency & trust | 7%8.8 | 63 | 51 | SambaCloud +12 |
| Negative events | ≤15 | -2 | 0 | |
| Total | 66.4 · B | 46.7 · D |
Facts side by side
| Fact | SambaCloud | SiliconFlow |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | SambaNova Systems, Inc. | SiliconFlow Labs Pte. Ltd. |
| Hosted endpoint | https://api.sambanova.ai/v1 | https://api.siliconflow.com/v1 |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | Proprietary service under the SambaCloud Terms of Service. The SDKs and the OpenAPI document are Apache-2.0 | Proprietary service under the SiliconFlow Terms of Use |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-09-17 | 2026-09-14 |
| Terms last updated | no date given | no date given |
| Privacy policy last updated | 2023-05-27 | no date given |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | yes |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | not found in the text | yes |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 2 stars, 76 npm/wk, 6.1k PyPI/wk | none |
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
- Call
GET https://api.sambanova.ai/v1/modelsat start-up and use only ids it returns. The docs name models the endpoint no longer lists - Read
x-ratelimit-remaining-requestsandx-ratelimit-remaining-requests-dayon every response. The free tier allows 20 requests a day per model - Treat 429
queue_fulland 503maintenanceas retryable after a delay, and 410model_deprecatedas a signal to change model - Validate JSON output yourself. Schema enforcement is best effort and
strict: truechanges nothing - Check
max_completion_tokensper model. DeepSeek-V3.1 caps output at 7,168 tokens and Llama 3.3 70B at 3,072
SiliconFlow
- Set the OpenAI client's base URL to
https://api.siliconflow.com/v1, or the Anthropic client's tohttps://api.siliconflow.com/, and send the key as a Bearer token - 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 - Check the
modelfield of each response. On 11 June 2026 traffic for GLM-5 and Kimi-K2.5 was routed to successor models - Use
response_formatofjson_objectonly where the model page says JSON Mode is supported, and keepmax_tokensabout 10,000 below the context length - 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.
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Machine-readable
- This page as Markdown
/compare/sambanova-vs-siliconflow.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/sambanova.json·/api/v1/tools/siliconflow.json - From a terminal
anchor compare sambanova siliconflow(the CLI) - Over MCP
compare_tools {"a": "sambanova", "b": "siliconflow"}at/mcp, no key