Skip to content
Model Index
  • Overview
  • Models
  • Compare
  • Benchmarks
  • Finder
LabsMethodology
  1. Models
  2. Mistral AI

Mistral Medium 3.5

Mistral AI · released Apr 28, 2026

Mid-tierOpen weights

A 128B open-weight model that folds chat, reasoning and coding into one set of weights. It is the default in Le Chat and the Vibe coding agent, and small enough to self-host on a handful of GPUs.

Best for: Self-hosting · Coding agents · European deployments

Announcement
Intelligence Index
14.2
#35 of 38
Price per 1M tokens
$1.5 in $7.5 out
Blended $3 at 3:1
Context window
256K
Output speed
168 tokens/s
$0.50 measured cost per task

Capability profile

One 0–100 score per area, placing this model between the weakest and strongest tracked model across that area's benchmarks.

  • Overall20 · #35 of 38

    Based on 2 of 3 benchmarks

  • Coding5 · #38 of 39

    Based on 3 of 5 benchmarks

  • Agents & knowledge work13 · #35 of 40

    Based on 2 of 6 benchmarks

  • Reasoning & science4 · #36 of 39

    Based on 2 of 2 benchmarks

  • Knowledge & reliability29 · #35 of 39

    Based on 2 of 2 benchmarks

  • Vision17 · #30 of 31

    Based on 2 of 2 benchmarks

Benchmark results

All third-party results on record. Rank is among the tracked models that have been tested on that benchmark.

Overall

  • Artificial Analysis Intelligence Index14.2

    #35 of 38· Artificial Analysis

  • Vals IndexNot tested
  • Arena · Text1427 ±6

    #28 of 33· 11,757 votes· Arena

Coding

  • Terminal-Bench 4.00.0%

    #35 of 38· Artificial Analysis

  • SciCode40.2%

    #35 of 38· Artificial Analysis

  • Arena · WebDev1263 ±15

    #34 of 34· 2,325 votes· Arena

  • Vibe Code BenchNot tested
  • Code MigrationNot tested

Agents & knowledge work

  • GDPval-AA13.2

    #34 of 39· Artificial Analysis

  • Arena · Agent-12.4 ±1.5

    #29 of 29· Arena

  • Finance Agent v2Not tested
  • Excel Modeling BenchmarkNot tested
  • Legal Research BenchNot tested
  • Tax Agent BenchNot tested

Reasoning & science

  • Humanity's Last Exam13.8%

    #36 of 39· Artificial Analysis

  • CritPt0.0%

    #38 of 39· Artificial Analysis

  • ARC-AGI-2saturatingNot tested
  • ARC-AGI-3Not tested
  • GPQA Diamondsaturating74.8%

    #27 of 27· Artificial Analysis

Knowledge & reliability

  • AA-Omniscience-37

    #36 of 39· Artificial Analysis

  • AA-LCR69.3%

    #35 of 39· Artificial Analysis

Vision

  • MMMU-Pro64.9%

    #24 of 27· Artificial Analysis

  • Arena · Vision1199 ±10

    #19 of 19· 5,379 votes· Arena

Reported by Mistral AI

Numbers the lab published at launch, run on its own harness and settings. Useful context, but not independently verified and never used in the rankings on this site.

  • SWE-bench Verified77.6%

Specifications

Lab
Mistral AI
Released
Apr 28, 2026
Availability
Generally available
Context window
256,000 tokens
Max output
—
Accepts
Text, Images
Knowledge cutoff
Not published
Weights
Open
Licence
Modified MIT
Parameters
128B
Reasoning control
Effort none or high
API model ID
mistral-medium-3-5

Pricing

Input / 1M tokens
$1.5
Cached input / 1M
$0.15
Output / 1M tokens
$7.5
Blended (3:1)
$3
Measured cost / task
$0.50

Batch processing is half price.

Worth knowing

  • The Modified MIT licence carries restrictions for companies with large revenue.

Official sources

  • Announcement
  • Documentation
  • Weights

Closest alternatives

The models nearest to this one on overall score.

  • Muse Glimmer 30B
    Intelligence Index
    17.5
    Price / 1M
    $0.58
    Compare the two
  • TMInkling-Small
    Intelligence Index
    25.7
    Price / 1M
    $0.52
    Compare the two
  • Gemma 4 31B
    Intelligence Index
    14.7
    Price / 1M
    $0.15
    Compare the two
  • TMInkling
    Intelligence Index
    25.0
    Price / 1M
    $1.76
    Compare the two

23 benchmarks tracked. See methodology and sources.

Model Index

An independent snapshot of frontier SI models and how they perform on third-party benchmarks.

Data as of Oct 8, 2026

Explore

  • All models
  • Compare
  • Benchmarks
  • Model finder
  • Labs
  • Methodology & sources

Sources

Benchmark results come from Artificial Analysis, Arena, Vals AI and ARC Prize. Specifications and prices come from each lab's own documentation.

Not affiliated with any lab or evaluator. Names and logos are trademarks of their respective owners and are used only to identify them. Scores change often — check the linked source before making a decision that depends on one.

  • Overview
  • Models
  • Compare
  • Benchmarks
  • Finder
  • Overview
  • Models
  • Compare
  • Benchmarks
  • Finder
  • Overview
  • Models
  • Compare
  • Benchmarks
  • Finder