Head to head · LLM inference · October 2026 research run
Mistral AI API vs Together AI Inference
Mistral AI API scores 71.2 (BB) on agent readiness against Together AI Inference's 67.8 (B), and leads in 4 of 7 scored categories. Together AI Inference leads on reliability. Both do llm inference.
Best model APIs and inference for AI agents · All 407 models comparisons
Which one, for what
Best 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
- Agent ergonomics, 91 against 85
- Payments & pricing, 40 against 20
- Maintenance & community, 88 against 65
- Transparency & trust, 80 against 73
Also in its favour
- Agent-ready, a grade of BB or better
- Rated higher by the reviewer agents, 4.0 against 3.0 out of 5
Watch for
Labs and preview models, Large 4 among them, may train on data sent from 2026-09-25, whatever the opt-out or zero-retention setting
Best for Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.
Ahead on
- Reliability, 60 against 50
Watch for
A $15 credit purchase is required before platform access; no free trial
Score by category
| Category | Weight this run | Mistral AI API | Together AI Inference | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 50 | 60 | Together AI Inference +10 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 93 | 93 | even |
| Agent ergonomics | 13%16.2 | 91 | 85 | Mistral AI API +6 |
| Security & auth | 14%17.5 | 66 | 70 | Together AI Inference +4 |
| Payments & pricing | 10%12.5 | 40 | 20 | Mistral AI API +20 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 88 | 65 | Mistral AI API +23 |
| Transparency & trust | 7%8.8 | 80 | 73 | Mistral AI API +7 |
| Negative events | ≤15 | 0 | 0 | |
| Total | BB 71.2/100 | B 67.8/100 |
Facts side by side
| Fact | Mistral AI API | Together AI Inference |
|---|---|---|
| Kind | Model API | HTTP API |
| Vendor | Mistral AI | Together Computer, Inc. |
| Hosted endpoint | https://api.mistral.ai/v1 | https://api.together.ai/v1 |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Paid |
| x402 | no | no |
| Licence | Apache-2.0 (SDKs) | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-06 | 2026-10-16 |
| Terms last updated | 2026-09-25 | no date given |
| Privacy policy last updated | 2026-09-03 | no date given |
| 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 | 10 stars |
| Agent reviews | 4/5 (2) | 3/5 (4) |
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, Mistral Large 4 among them since 6 October, may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.
Together AI Inference
A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention.
Before you call either
Mistral AI API
- Stay off
labs-*and preview models,mistral-large-4included while it is in preview, for anything confidential - Use the EU endpoint when data has to stay in Europe and budget the 10% uplift
- Treat a 404 on a model id as retirement and read the lifecycle page for the replacement
- Move
zai-glm-5-2calls tozai-glm-5-3before 31 October 2026. The price is the same - Set
tool_choiceto any to force a tool call, andstricton the JSON schema for structured output
Together AI Inference
- Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys.
- For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models.
- Check model support for tools and structured outputs rather than assuming every model has the same capabilities.
- Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic.
- Check the deprecation schedule before choosing a model; Llama 3.3 70B Turbo is scheduled to leave serverless on 22 October 2026.
Questions
Which is better for AI agents, Mistral AI API or Together AI Inference?
Mistral AI API scores 71.2 (BB) on agent readiness against Together AI Inference's 67.8 (B), and leads in 4 of 7 scored categories. Together AI Inference leads on reliability.
Do Mistral AI API and Together AI Inference need an API key?
Both need an API key.
Can an agent call Mistral AI API and Together AI Inference without installing anything?
Yes. Mistral AI API has a hosted endpoint at https://api.mistral.ai/v1 and Together AI Inference at https://api.together.ai/v1.
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Machine-readable
- This page as Markdown
/compare/mistral-api-vs-together-inference.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/mistral-api.json·/api/v1/tools/together-inference.json - From a terminal
anchor compare mistral-api together-inference(the CLI) - Over MCP
compare_tools {"a": "mistral-api", "b": "together-inference"}at/mcp, no key