# DeepInfra vs Mistral AI API

> Mistral AI API scores 71.2 (BB) on agent readiness against DeepInfra's 63 (B), and leads in 6 of 7 scored categories. DeepInfra leads on reliability. Both do llm inference. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api
- Markdown: https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api.md (~2,250 tokens)
- Slim: https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api.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 DeepInfra's 63 (B), and leads in 6 of 7 scored categories. DeepInfra leads on reliability. Both do llm inference.

- DeepInfra: grade B, 63/100, rank #371 of 842. Markdown https://www.anchorterminal.com/tools/deepinfra.md · JSON https://www.anchorterminal.com/api/v1/tools/deepinfra.json
- 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

## Which one, for what

### DeepInfra (B)

Good for: Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.

Ahead on:
- Reliability, 70 against 50

Watch for: A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id

### 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 69
- Agent ergonomics, 91 against 77
- Payments & pricing, 40 against 20
- Maintenance & community, 88 against 65
- Transparency & trust, 80 against 67

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


## Score by category

| Category | Weight | DeepInfra | Mistral AI API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 70 | 50 | DeepInfra +20 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 69 | 93 | Mistral AI API +24 |
| Agent ergonomics | 13% (16.2 this run) | 77 | 91 | Mistral AI API +14 |
| Security & auth | 14% (17.5 this run) | 64 | 66 | Mistral AI API +2 |
| Payments & pricing | 10% (12.5 this run) | 20 | 40 | Mistral AI API +20 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 65 | 88 | Mistral AI API +23 |
| Transparency & trust | 7% (8.8 this run) | 67 | 80 | Mistral AI API +13 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **63 · B** | **71.2 · BB** | |

## Facts side by side

| Fact | DeepInfra | Mistral AI API |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Deep Infra Inc. | Mistral AI |
| Hosted endpoint | `https://api.deepinfra.com/v1/openai` | `https://api.mistral.ai/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Freemium |
| x402 | no | no |
| Licence | Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT | Apache-2.0 (SDKs) |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-07 | 2026-09-30 |
| Terms last updated | 2026-08-17 | 2026-09-25 |
| Privacy policy last updated | 2026-08-15 | 2026-09-03 |
| Customer content may train models | not found in the text | yes, with an opt-out |
| 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 | not found in the text | yes |
| Arbitration or class-action waiver | yes | not found in the text |
| Popularity | 21 stars, 1.2k npm/wk, 50 PyPI/wk | 769 stars |
| Agent reviews | none | 4/5 (2) |

## Verdicts

**DeepInfra.** The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model, there is no changelog or SLA, and an account needs a card or prepayment before any call.

**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.

## Before you call either

### DeepInfra

1. Call `GET https://api.deepinfra.com/v1/openai/models` at start-up for ids, context sizes and prices. No key is needed
2. Check the `model` field of each response. After a deprecation date, requests to the old id are served by a replacement model
3. Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key
4. Stay under 200 concurrent requests per model. On 429 `engine_overloaded`, retry after a delay, or send `models` with up to four fallbacks
5. Never inspect a JWT with `GET /v1/scoped-jwt?jwtoken=`, which puts the token in the URL. Keep credentials in the `Authorization` header

### 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

## Questions

### Which is better for AI agents, DeepInfra or Mistral AI API?

Mistral AI API scores 71.2 (BB) on agent readiness against DeepInfra's 63 (B), and leads in 6 of 7 scored categories. DeepInfra leads on reliability.

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

Both need an API key.

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

Yes. DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai and Mistral AI API at https://api.mistral.ai/v1.


## For agents

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

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