Mistral Medium

Released
2023-12-11
Last refreshed
2026-10-08
Status
Researched 32d ago
DeprecatedProprietaryCommercial use: restrictedCodingClassificationJSON / Tool use

Mistral Medium is a legacy integration reference; keep it only while you identify a current replacement.

MistralAI releases · 25 in the last 12 months · this family litChangelog →
Specifications
Released
2023-12-11
Lifecycle
Retired June 16, 2025
Context
32K
Architecture
Decoder Only
Specialization
general
Openness
Proprietary
License
ProprietaryRestricted
Weights
Not released
Code
Unknown
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.

Providers(2)

Compare all 2

Compare API pricing across 2 tracked provider routes 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(6)

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.
BenchmarkScoreVersionEvaluationSource
58.9diamondObserved 2026-03-06—
research
93.910-shotObserved 2026-03-06—
research
84.3pass@1Observed 2026-03-06—
research
82.95-shotObserved 2026-03-06—
research
1223.0text_style_control overall 2026-10-22 (style control, default view)Observed 2026-10-26
Configuration: Mistral Medium
Harness: LMArena blind pairwise human votes, Bradley-Terry
Evaluator: LMArena
Confidence: confirmed
Notes: LMArena text style control leaderboard, overall category, published 2026-10-22 (HF lmarena-ai/leaderboard-dataset @9761a3ce, latest split). Board entry 'Mistral Medium': rank 341, Arena Score 1222.8 (95% CI 1217.3-1228.3), 34550 votes. Retrieved 2026-10-26.
Source

Source: LMArena (lmarena.ai), CC BY 4.0

1157.0text creative_writing 2026-10-22Observed 2026-10-22
Configuration: Mistral Medium
Harness: LMArena blind pairwise human votes, Bradley-Terry
Evaluator: LMArena
Confidence: confirmed
Notes: LMArena Text arena, Creative Writing category (no style control), board published 2026-10-22 (HF lmarena-ai/leaderboard-dataset @a467e6b9, text config, latest split). Board entry 'Mistral Medium' (category creative_writing in text/latest-00000-of-00001.parquet): rank 329 of 416, rating 1157.5 (95% CI 1146.7-1168.2), 5549 votes. LLM Reference model is lifecycle-deprecated; score kept as historical. Source: LMArena (CC BY 4.0). Retrieved 2026-10-27.
Source

Source: LMArena (lmarena.ai), CC BY 4.0

Migration checks

No linked migration route is available for this model yet.