LLM Reference

Mistral Medium

Released
2023-12-11
Last refreshed
2026-06-15
Status
Researched 52d ago
ProprietaryCommercial use: conditionalCodingClassificationJSON / Tool use

Mistral Medium is worth evaluating for coding, classification, and json / tool use when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding, classification, and json / tool use
  • Workloads that can use a 32k context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads
Specifications
Released
2023-12-11
Context
32k
Architecture
Decoder Only
Specialization
general
Openness
Proprietary
License
ProprietaryCommercial use: conditional
Training
Fine-tuned
Created by

Enterprise AI solutions for trust and transparency.

Paris, France
Founded 2023
Website
Pricing
Output / 1M
$2.00
Input / 1M
$0.400

Cheapest of 2 routes · OpenRouter

About

Mistral Medium is a versatile large language model developed by Mistral AI, designed to handle a wide array of tasks with a robust 32k token context window, allowing it to process approximately 24,000 words. Built on a transformer architecture, it offers native fluency in multiple languages, including English, French, Spanish, German, and Italian, enhancing its multilingual reasoning capabilities. Available via API, Mistral Medium is proprietary and stronger than some of Mistral AI's open-source models like Mixtral 8x7B and Mistral-7B. While it is described as more cost-effective than models such as GPT-4, specific pricing details are not provided 11011.

Mistral Medium is a proprietary model. The structured metadata tracks a 32k-token context window and structured outputs. This page tracks provider routes through Mistral AI Studio and OpenRouter, with the cheapest tracked route listed at $0.4 input and $2 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 58.9, HellaSwag 93.9, and HumanEval 84.3.

Top use-case fit: coding, agents, and build tasks

Coding

Q/$ C

1 relevant benchmark in the decision map.

Classification

Q/$ D

2 relevant benchmarks in the decision map.

JSON / Tool use

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 2

Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
OpenRouter$0.400$2.00
Serverless
Mistral AI Studio$1.50$7.50
Serverless

Available via routers & gateways(10)

Capabilities

Structured Outputs

Benchmark peer barsfor Coding

Benchmark scores(4)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
Google-Proof Q&A58.9diamondresearch
HellaSwag93.910-shotresearch
HumanEval84.3pass@1research
Massive Multitask Language Understanding82.95-shotresearch

Migration checks

No linked migration route is available for this model yet.