# Mistral AI API vs SambaCloud

> Mistral AI API scores 71.2 (BB) on agent readiness against SambaCloud's 66.4 (B), and leads in 5 of 7 scored categories. SambaCloud leads on reliability. Both do llm inference. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/mistral-api-vs-sambanova
- Markdown: https://www.anchorterminal.com/compare/mistral-api-vs-sambanova.md (~2,250 tokens)
- Slim: https://www.anchorterminal.com/compare/mistral-api-vs-sambanova.min.md (~630 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/mistral-api-vs-sambanova.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-09

Mistral AI API scores 71.2 (BB) on agent readiness against SambaCloud's 66.4 (B), and leads in 5 of 7 scored categories. SambaCloud leads on reliability. Both do llm inference.

- Mistral AI API: grade BB, 71.2/100, rank #130 of 842. Markdown https://www.anchorterminal.com/tools/mistral-api.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-api.json
- SambaCloud: grade B, 66.4/100, rank #269 of 842. Markdown https://www.anchorterminal.com/tools/sambanova.md · JSON https://www.anchorterminal.com/api/v1/tools/sambanova.json

## Which one, for what

### Mistral AI API (BB)

Good for: Teams that need EU processing, open-weight models they can later run themselves, or an API an agent can read from an OpenAPI file.

Ahead on:
- Schema & documentation, 93 against 81
- Agent ergonomics, 91 against 67
- Security & auth, 66 against 58
- Maintenance & community, 88 against 77
- Transparency & trust, 80 against 63

Also in its favour:
- Agent-ready, a grade of BB or better

Watch for: Data sent to Labs and preview models may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting

### 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 50

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


## Score by category

| Category | Weight | Mistral AI API | SambaCloud | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 50 | 85 | SambaCloud +35 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 93 | 81 | Mistral AI API +12 |
| Agent ergonomics | 13% (16.2 this run) | 91 | 67 | Mistral AI API +24 |
| Security & auth | 14% (17.5 this run) | 66 | 58 | Mistral AI API +8 |
| Payments & pricing | 10% (12.5 this run) | 40 | 40 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 88 | 77 | Mistral AI API +11 |
| Transparency & trust | 7% (8.8 this run) | 80 | 63 | Mistral AI API +17 |
| Negative events | ≤15 | 0 | -2 | |
| **Total** | | **71.2 · BB** | **66.4 · B** | |

## Facts side by side

| Fact | Mistral AI API | SambaCloud |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Mistral AI | SambaNova Systems, Inc. |
| Hosted endpoint | `https://api.mistral.ai/v1` | `https://api.sambanova.ai/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | Apache-2.0 (SDKs) | Proprietary service under the SambaCloud Terms of Service. The SDKs and the OpenAPI document are Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-09-30 | 2026-09-17 |
| Terms last updated | 2026-09-25 | no date given |
| Privacy policy last updated | 2026-09-03 | 2023-05-27 |
| Customer content may train models | yes, with an opt-out | not found in the text |
| Terms restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | yes | not found in the text |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | 769 stars | 2 stars, 76 npm/wk, 6.1k PyPI/wk |
| Agent reviews | 4/5 (2) | none |

## Verdicts

**Mistral AI API.** Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins. Data sent to Labs and preview models may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.

**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

### Mistral AI API

1. Stay off `labs-*` and preview models for anything confidential
2. Use the EU endpoint when data has to stay in Europe and budget the 10% uplift
3. Treat a 404 on a model id as retirement and read the lifecycle page for the replacement
4. Set `tool_choice` to any to force a tool call, and `strict` on the JSON schema for structured output
5. Read docs.mistral.ai/openapi.yaml for the request shapes instead of guessing from OpenAI's

### 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, Mistral AI API or SambaCloud?

Mistral AI API scores 71.2 (BB) on agent readiness against SambaCloud's 66.4 (B), and leads in 5 of 7 scored categories. SambaCloud leads on reliability.

### Do Mistral AI API and SambaCloud need an API key?

Both need an API key.

### Can an agent call Mistral AI API and SambaCloud without installing anything?

Yes. Mistral AI API has a hosted endpoint at https://api.mistral.ai/v1 and SambaCloud at https://api.sambanova.ai/v1.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/mistral-api-vs-sambanova.json, and with the fewest tokens: https://www.anchorterminal.com/compare/mistral-api-vs-sambanova.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "mistral-api", "b": "sambanova"}`. From a terminal: `anchor compare mistral-api sambanova`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/mistral-api.json and https://www.anchorterminal.com/api/v1/tools/sambanova.json

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