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

Mistral Small 4

Mistral AI · released Mar 16, 2026

Small & fastOpen weightsOn the efficient frontier

Mistral's low-cost workhorse: one Apache-2.0 model that covers fast chat, optional deep reasoning, coding and image input.

Best for: High-volume low-cost inference · Self-hosting · Document understanding

Announcement
Intelligence Index
11.3
#38 of 38 · at Reasoning effort
Price per 1M tokens
$0.15 in $0.60 out
Blended $0.26 at 3:1
Context window
256K
Output speed
160 tokens/s
$0.02 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.

  • Overall0 · #38 of 38

    Based on 1 of 3 benchmarks

  • Coding5 · #37 of 39

    Based on 2 of 5 benchmarks

  • Agents & knowledge work0 · #39 of 40

    Based on 1 of 6 benchmarks

  • Reasoning & science0 · #39 of 39

    Based on 2 of 2 benchmarks

  • Knowledge & reliability17 · #37 of 39

    Based on 2 of 2 benchmarks

  • Vision0 · #31 of 31

    Based on 1 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 Index11.3

    #38 of 38· Reasoning effort· Artificial Analysis

  • Vals IndexNot tested
  • Arena · TextNot tested

Coding

  • Terminal-Bench 4.00.0%

    #35 of 38· Reasoning effort· Artificial Analysis

  • SciCode38.8%

    #36 of 38· Reasoning effort· Artificial Analysis

  • Arena · WebDevNot tested
  • Vibe Code BenchNot tested
  • Code MigrationNot tested

Agents & knowledge work

  • GDPval-AA0.0

    #38 of 39· Reasoning effort· Artificial Analysis

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

Reasoning & science

  • Humanity's Last Exam9.9%

    #39 of 39· Reasoning effort· Artificial Analysis

  • CritPt0.3%

    #35 of 39· Reasoning effort· Artificial Analysis

  • ARC-AGI-2saturatingNot tested
  • ARC-AGI-3Not tested
  • GPQA Diamondsaturating76.9%

    #25 of 27· Reasoning effort· Artificial Analysis

Knowledge & reliability

  • AA-Omniscience-30

    #34 of 39· Reasoning effort· Artificial Analysis

  • AA-LCR49.7%

    #39 of 39· Reasoning effort· Artificial Analysis

Vision

  • MMMU-Pro56.8%

    #27 of 27· Reasoning effort· Artificial Analysis

  • Arena · VisionNot tested

Specifications

Lab
Mistral AI
Released
Mar 16, 2026
Availability
Generally available
Context window
256,000 tokens
Max output
—
Accepts
Text, Images
Knowledge cutoff
Not published
Weights
Open
Licence
Apache 2.0
Parameters
119B total · 6.5B active
Reasoning control
Effort none or high
API model ID
mistral-small-2603

Pricing

Input / 1M tokens
$0.15
Cached input / 1M
$0.01
Output / 1M tokens
$0.60
Blended (3:1)
$0.26
Measured cost / task
$0.02

Batch processing is half price.

Official sources

  • Announcement
  • Documentation
  • Weights

Closest alternatives

The models nearest to this one on overall score.

  • gpt-oss-120b
    Intelligence Index
    11.6
    Price / 1M
    $0.26
    Compare the two
  • Command A+
    Intelligence Index
    13.1
    Price / 1M
    $0.60
    Compare the two
  • Mistral Medium 3.5
    Intelligence Index
    14.2
    Price / 1M
    $3
    Compare the two
  • Muse Glimmer 30B
    Intelligence Index
    17.5
    Price / 1M
    $0.58
    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