---
title: Mistral AI
slug: mistral-ai
url: "https://toolweight.com/tools/mistral-ai"
homepage: "https://mistral.ai"
categories: llm-apis
last_verified: 2026-11-07
dataset_version: 0738be72
license: CC-BY-4.0
---

# Mistral AI

> European lab with an open-weight lineage and EU-resident hosting

- The credible European option: a Paris-based lab with EU data residency and on-premise licensing
- Releases capable models under Apache 2.0 alongside a commercial tier
- Rarely the capability leader
- Often the only shortlist entry that clears legal when jurisdiction, not benchmarks, is the blocker

## Identity

|  |  |
| --- | --- |
| Name | Mistral AI |
| Company | Mistral AI |
| One-liner | European lab with an open-weight lineage and EU-resident hosting |
| Site | https://mistral.ai |
| Docs | https://docs.mistral.ai |
| Founded | 2023 |
| Funding | Late-stage private |
| Open source | Yes |
| Licence | Apache-2.0 (selected models) |
| Compared in | 1 |

## Where it is compared

### [LLM APIs](https://toolweight.com/compare/llm-apis)
Ranked **#1 of 18** on default weights.
| Field | Value | Confidence | Verified | Source | Note | Permalink |
| --- | --- | --- | --- | --- | --- | --- |
| Flagship model | Mistral Large 3 (mistral-large-3-25-12) | Vendor-claimed | 2026-07-30 | https://docs.mistral.ai/models/model-cards/mistral-large-3-25-12 | Alias `mistral-large-latest`; released 2025-12-02, an MoE with 41B active of 675B total. Mistral Medium is the better price-performance pick for most workloads on this platform. | https://toolweight.com/compare/llm-apis#mistral-ai--flagship_model |
| Context window | 256,000 tokens | Vendor-claimed | 2026-07-30 | https://docs.mistral.ai/models/model-cards/mistral-large-3-25-12 | - | https://toolweight.com/compare/llm-apis#mistral-ai--context_window |
| Max output | - | Unknown | - | - | No separate max-output figure on the official model card. | https://toolweight.com/compare/llm-apis#mistral-ai--max_output |
| Image input | ● | Vendor-claimed | 2026-07-30 | https://docs.mistral.ai/models/model-cards/mistral-large-3-25-12 | Multimodal with image understanding. | https://toolweight.com/compare/llm-apis#mistral-ai--vision |
| Audio in/out | ◐ | Vendor-claimed | 2026-07-30 | https://docs.mistral.ai/models/model-cards/mistral-large-3-25-12 | The flagship is text and vision only; speech is the separate Voxtral model line, which this column grades as partial. | https://toolweight.com/compare/llm-apis#mistral-ai--audio_io |
| Open weights | ● | Vendor-claimed | 2026-07-30 | https://docs.mistral.ai/models/model-cards/mistral-large-3-25-12 | Large 3 ships as an open-weight Apache 2.0 model. Licensing across the wider family is mixed, some models sit under a research licence, so check per model. | https://toolweight.com/compare/llm-apis#mistral-ai--open_weights |
| OpenAI-compat API | ● | Vendor-claimed | 2026-07-30 | https://docs.mistral.ai/api/ | - | https://toolweight.com/compare/llm-apis#mistral-ai--openai_compatible |
| TTFT p50 | - | Unknown | - | - | - | https://toolweight.com/compare/llm-apis#mistral-ai--ttft_p50 |
| Output tok/s | - | Unknown | - | - | - | https://toolweight.com/compare/llm-apis#mistral-ai--throughput_tps |
| $/M input | $0.5/M tok | Vendor-claimed | 2026-11-06 | https://mistral.ai/pricing | - | https://toolweight.com/compare/llm-apis#mistral-ai--price_in |
| $/M output | $1.5/M tok | Vendor-claimed | 2026-11-06 | https://mistral.ai/pricing | - | https://toolweight.com/compare/llm-apis#mistral-ai--price_out |
| $/M cache read | $0.05/M tok | Vendor-claimed | 2026-07-30 | https://mistral.ai/pricing/api | Cached prompt tokens bill at 10% of the standard input price. | https://toolweight.com/compare/llm-apis#mistral-ai--cached_input |
| Batch discount | 50% | Vendor-claimed | 2026-07-30 | https://mistral.ai/pricing/api | Batch inference is offered at half price on La Plateforme. | https://toolweight.com/compare/llm-apis#mistral-ai--batch_discount |
| Tool use | ● | Vendor-claimed | 2026-07-30 | https://docs.mistral.ai/models/model-cards/mistral-large-3-25-12 | - | https://toolweight.com/compare/llm-apis#mistral-ai--tool_use |
| Schema output | ● | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#mistral-ai--structured_output |
| Effort control | ◐ | Inferred | 2026-01-15 | - | Reasoning is a separate model line rather than a per-request effort dial. | https://toolweight.com/compare/llm-apis#mistral-ai--reasoning_effort |
| Computer use | ○ | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#mistral-ai--computer_use |
| MCP support | ◐ | Inferred | 2026-01-15 | - | Supported through the agents SDK rather than as a server-side connector. | https://toolweight.com/compare/llm-apis#mistral-ai--mcp_support |
| Cache TTL | - | Unknown | - | - | - | https://toolweight.com/compare/llm-apis#mistral-ai--prompt_cache_ttl |
| Continuity policy | Dated model IDs (the -2411 style suffix) are stable and documented, and Mistral maintains a legacy-model page listing deprecation and retirement dates. The stronger guarantee is structural: for the Apache-licensed models you can keep serving the same weights yourself after the endpoint goes away. | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#mistral-ai--continuity_policy |
| Notice period | 180 days | Vendor-claimed | 2026-11-07 | https://docs.mistral.ai/inference/model-lifecycle | - | https://toolweight.com/compare/llm-apis#mistral-ai--deprecation_notice |
| Pinnable versions | ● | Vendor-claimed | 2026-01-15 | https://docs.mistral.ai/getting-started/models/models_overview/ | - | https://toolweight.com/compare/llm-apis#mistral-ai--pinned_snapshots |
| Zero retention | ◐ | Inferred | 2026-01-15 | - | Enterprise and on-premise deployments give full control; the hosted platform's defaults are the usual abuse-monitoring retention. | https://toolweight.com/compare/llm-apis#mistral-ai--zero_retention |
| Trains on your data | ○ | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#mistral-ai--trains_on_data |
| AU region | ○ | Inferred | 2026-01-15 | - | EU-resident by design; AU residency only via self-deployment of the open-weight models. | https://toolweight.com/compare/llm-apis#mistral-ai--au_region |
| API since | 2023 | Inferred | - | - | - | https://toolweight.com/compare/llm-apis#mistral-ai--launch_year |
| Positioning | European models with open weights and deployable anywhere | Inferred | - | - | - | https://toolweight.com/compare/llm-apis#mistral-ai--positioning |

**Verdict.** Rarely the capability leader, consistently the answer when jurisdiction is the blocker; check licences per model.

## Alternatives

- [Qwen](https://toolweight.com/tools/alibaba-qwen), Alibaba's model family, huge open-weight range, closed flagship
- [Amazon Bedrock](https://toolweight.com/tools/amazon-bedrock), Multi-vendor model access inside your existing AWS account
- [Anthropic](https://toolweight.com/tools/anthropic), Claude models, built around long agentic runs and tool use
- [Cerebras](https://toolweight.com/tools/cerebras), Wafer-scale inference, the fastest tokens per second available
- [Cohere](https://toolweight.com/tools/cohere), Enterprise-focused models built for RAG and private deployment
- [DeepSeek](https://toolweight.com/tools/deepseek), Frontier-adjacent models at a small fraction of Western prices
- [Fireworks AI](https://toolweight.com/tools/fireworks-ai), Fast open-weight inference with strong structured-output support
- [Google Gemini](https://toolweight.com/tools/google-gemini), Gemini via AI Studio for prototyping or Vertex AI for production
- [Groq](https://toolweight.com/tools/groq), Custom LPU silicon serving open-weight models at extreme speed
- [Meta Llama](https://toolweight.com/tools/meta-llama), Open-weight Llama models, hosted almost everywhere but Meta
- [Moonshot AI](https://toolweight.com/tools/moonshot-ai), Kimi models, open-weight agentic performance at low cost
- [OpenAI](https://toolweight.com/tools/openai), GPT models plus audio, images and embeddings on one bill

## Logo & brand colours

SVG files: https://toolweight.com/teams/mistral-ai/logo.svg and https://toolweight.com/teams/mistral-ai/mono.svg. JSON: https://toolweight.com/api/v1/brands/mistral-ai.

| Hex | oklch |
| --- | --- |
| #ee792f | oklch(70.0% 0.166 48.8) |
| #ea3326 | oklch(61.1% 0.220 29.3) |
| #f2a73b | oklch(78.3% 0.147 71.8) |
| #eb5829 | oklch(64.9% 0.191 37.3) |
| #f7d046 | oklch(86.8% 0.155 92.7) |

## Licence and attribution

Data from Toolweight (https://toolweight.com), licensed CC-BY-4.0.

- Licence: [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
- Canonical HTML: https://toolweight.com/tools/mistral-ai
- Machine-readable: https://toolweight.com/tools/mistral-ai.md · https://toolweight.com/api/v1 · https://toolweight.com/mcp
- Toolweight takes no affiliate revenue and sells no placements.