Mistral Medium 3.1
Mistral Medium 3.1 was the top MT-Bench tier at Mistral AI's La Plateforme launch (8.6), with multilingual output across English, French, Italian, German, Spanish, and code.
import { streamText } from 'ai'
const result = streamText({ model: 'mistral/mistral-medium', prompt: 'Why is the sky blue?'})Playground
Try out Mistral Medium 3.1 by Mistral AI. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
Providers
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P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.
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More models by Mistral AI
| Model |
|---|
| 256K | 0.3s | 67tps | $0.40/M | $2.00/M | — | — |  | 12/09/2025 | |||||
| 256K | 0.3s | 63tps | $0.20/M | $0.20/M | — | — | | 12/01/2025 | |||||
| 128K | 0.2s | 173tps | $0.10/M | $0.10/M | — | — | | 10/01/2024 | |||||
| 32K | 0.5s | 8tps | $0.10/M | $0.30/M | — | — | | 09/01/2024 | |||||
| 131K | 0.2s | 55tps | $0.15/M | $0.15/M | — | — |   | 07/01/2024 | |||||
| $0.10/M | — | — | | 12/11/2023 |
About Mistral Medium 3.1
Mistral Medium 3.1 launched as the top MT-Bench tier on La Plateforme, alongside Mistral-tiny (efficiency) and Mistral-small (balance). At release Mistral Medium 3.1 scored 8.6 on MT-Bench. Mistral AI described it as a prototype endpoint undergoing deployed testing.
Mistral Medium 3.1's capability profile centers on five major European languages (English, French, Italian, German, and Spanish) alongside code generation. This multilingual design, combined with its position above tiny and small in the launch lineup, made it the default choice for many European-language workloads in Mistral AI's earliest days.
Mistral AI's portfolio has expanded since then, but Mistral Medium 3.1 remains available for teams with established integrations or workflows built around its specific capability profile.
What To Consider When Choosing a Provider
- Configuration: Mistral Medium 3.1 covers English, French, Italian, German, Spanish, and code. This makes Mistral Medium 3.1 a fit for European teams needing a single model across languages.
- Zero Data Retention: AI Gateway supports Zero Data Retention for this model via direct gateway requests (BYOK is not included). To configure this, check the documentation.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
When to Use Mistral Medium 3.1
Best For
- Multilingual European output: Coherent generation across English, French, Italian, German, and Spanish
- Existing production integrations: Teams with deployments built on Mistral Medium 3.1
- Code generation with multilingual docs: Tasks combining code and European-language comments
- Validated benchmark profile: Applications where historical benchmarks are a known quantity
Consider Alternatives When
- Higher capability general-purpose: You need a newer Mistral AI model (consider Mistral AI Large 3)
- Mathematical or structured reasoning: Tasks that require explicit reasoning traces (consider Magistral models)
- Vision input support: You need multimodal input (consider Pixtral models)
- Paramount cost efficiency: Cost dominates selection (consider Ministral or Mistral AI Small)
Conclusion
Mistral Medium 3.1 was Mistral AI's top MT-Bench launch endpoint. Mistral Medium 3.1 remains an option for European-language and code workloads tied to older integrations.
Frequently Asked Questions
What was Mistral Medium 3.1's MT-Bench score?
8.6 on MT-Bench at La Plateforme's launch, per Mistral AI's announcement.
What languages does Mistral Medium 3.1 support?
English, French, Italian, German, Spanish, and code.
How does Mistral Medium 3.1 fit into the La Plateforme lineup?
Mistral Medium 3.1 sat above Mistral-tiny (efficiency) and Mistral-small (balance) in Mistral AI's launch lineup and had the highest MT-Bench score of the three.
Is Mistral Medium 3.1 a good choice for new projects?
For new projects, consider more recent models like Mistral AI Large 3 or Mistral AI Small. Mistral Medium 3.1 is most relevant for teams with existing integrations.
Does Mistral Medium 3.1 support function calling?
Check the AI Gateway model capabilities documentation for documented capabilities. Function-calling support evolved across Mistral AI model generations.
What is the relationship between Mistral Medium 3.1 and Mistral AI Small?
At La Plateforme's launch, Mistral AI Small occupied the balanced tier between tiny and medium. Mistral AI Small has since been updated (September 2024) while Medium retains its original profile.
How do I access Mistral Medium 3.1 through AI SDK?
Use Mistral Medium 3.1 through AI Gateway via the AI SDK, Chat Completions API, Responses API, Messages API, or other API formats, from TypeScript or Python.