Private AI

Nano GPT logo
NanoGPT
Nano GPT logo
NanoGPT
Nano GPT logo
NanoGPT
Search
 
 
 
 
All conversations

Create

Chat
Studio

Explore

Models
Pricing
AI Apps
Blog

Library

Gallery
Workspace
Usage & billing
API
Suggestions and bugs
Use cases

|

Terms

|

Privacy

|

Refunds
Usage & billing
Teams
Referrals
Presets
Settings
FAQPress & mediaBrand assetsBenchmarksNano RPCEarn crypto
  1. Models
  2. Text
  3. Mistral

Mistral Medium 3

Mistral Medium 3 delivers frontier performance while being an order of magnitude less expensive. For instance, the model performs at or above 90% of Claude Sonnet 3.7 on benchmarks across the board at a significantly lower cost. On performance, Mistral Medium 3 also surpasses leading open models such as Llama 4 Maverick and enterprise models such as Cohere Command A. On pricing, the model beats cost leaders such as DeepSeek v3, both in API and self-deployed systems.

Added Sep 25, 2025

Pricing

Auto routing · per 1M tokens
Input
$0.40
Output
$2.00
Cache read
$0.20
Compare provider prices

Specifications

Context window
131.1K
Max output
32.8K

Benchmarks

Sourced from LMArena.

Arena Score

1387.3

Overall Rank

#188 / 421

Votes

32,751

Confidence Interval

1382.6 - 1392.0

Category Scores

Coding

#187 / 416

5,837 votes

1432.5

Math

#220 / 404

2,229 votes

1347.6

Longer Query

#184 / 399

5,926 votes

1392.5

Creative Writing

#166 / 419

4,063 votes

1364.0

Instruction Following

#198 / 421

7,938 votes

1365.7

Hard Prompts

#192 / 421

13,640 votes

1400.7

Additional Categories
22

German

#139 / 320

998 votes

1393.4

Polish

#149 / 244

2,884 votes

1391.1

Industry Legal And Government

#158 / 393

2,118 votes

1410.0

Japanese

#160 / 288

915 votes

1323.9

Industry Medicine And Healthcare

#165 / 390

1,974 votes

1419.2

Multi Turn

#166 / 419

5,708 votes

1402.4

Russian

#173 / 385

2,762 votes

1385.2

Industry Writing And Literature And Language

#175 / 420

7,170 votes

1370.1

Industry Entertainment And Sports And Media

#177 / 419

5,590 votes

1354.9

Industry Life And Physical And Social Science

#178 / 419

5,628 votes

1408.3

Spanish

#178 / 303

564 votes

1378.3

Korean

#179 / 289

637 votes

1317.7

French

#180 / 301

494 votes

1391.0

Non English

#182 / 421

17,648 votes

1369.8

Industry Business And Management And Financial Operations

#184 / 414

5,093 votes

1386.7

English

#185 / 421

15,095 votes

1401.7

Exclude Ties

#185 / 421

22,735 votes

1366.0

Industry Software And It Services

#187 / 421

10,543 votes

1421.6

Hard Prompts English

#193 / 419

6,357 votes

1408.8

Expert

#207 / 371

1,805 votes

1377.8

Chinese

#209 / 395

2,048 votes

1385.3

Industry Mathematical

#221 / 401

2,192 votes

1353.1

Published 2026-11-09 · Matched as Mistral Medium 3 (2505) · CC BY 4.0

LMArena Dataset

Leaderboard results

BenchmarkScoreRank on NanoGPT
Epoch AI Benchmarking Hub

Epoch AI data, CC BY 4.0 · Updated Nov 13, 2026

Epoch Capabilities Index

132.8

#104 of 115

GPQA Diamond

59.5%

#102 of 119

OTIS Mock AIME 2024–2025

32.2%

#107 of 121

UGI Leaderboard

UGI Leaderboard data, Apache-2.0 · Updated Oct 16, 2026

UGI Score

56.5

#18 of 149

UGI Willingness

7.2

#11 of 149

UGI Writing

32.6

#113 of 149

Filtered and ranked to models on NanoGPT.

Providers

Auto routing is available for this model. Explicit provider selection is not available.

Auto
Auto
Recommended
$0.40$2.00$0.20N/AN/A

Reliability

Related text models

Compare Mistral Medium 3 with similar models from the same provider or model family.

Mistral Medium 3.1

mistralai/mistral-medium-3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases. The model excels in domains such as coding, STEM reasoning, and enterprise adaptation. It supports hybrid, on-prem, and in-VPC deployments and is optimized for integration into custom workflows. Mistral Medium 3.1 offers competitive accuracy relative to larger models like Claude Sonnet 3.5/3.7, Llama 4 Maverick, and Command R+, while maintaining broad compatibility across deployment environments.

Mistral Small 3 24B (2501)

mistralai/mistral-small-24b-instruct-2501

Mistral Small 3 24B (2501) hosted by IONOS in Berlin, Germany. Zero data retention.

Mistral Small 4 119B Thinking

mistralai/mistral-small-4-119b-2603:thinking

Mistral Small 4 with reasoning enabled (reasoning_effort=high). A hybrid MoE model with deep step-by-step reasoning for complex prompts, coding, and multi-step problem solving.

Mistral Small 4 119B

mistralai/mistral-small-4-119b-2603

Mistral Small 4 is a hybrid MoE model that unifies instruct, reasoning, and coding behavior in a single multimodal model. It supports text and image input, native function calling, JSON output, and per-request reasoning effort controls.

Mistral Devstral Small 2505

mistralai/devstral-small-2505

OpenHands+Devstral is 100% local 100% open, and is SOTA for the category on SWE-Bench Verified: 46.8% accuracy.

Mistral Large 2411

mistralai/mistral-large

Upgrade to Mistral's flagship model. It is fluent in English, French, Spanish, German, and Italian, with high grammatical accuracy, with a long context window.