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Gemma 4 31B

Google DeepMind · released Apr 2, 2026

Small & fastOpen weights

Google's strongest open-weights model: a 31-billion-parameter multimodal model with an optional thinking mode that fits on a single 80GB GPU, or on consumer GPUs when quantised. Permissively licensed and meant for self-hosting, fine-tuning and local agents.

Best for: Running locally · Fine-tuning · On-device agents

Announcement
Intelligence Index
14.7
#34 of 38 · at Reasoning effort
Price per 1M tokens
$0.09 in $0.34 out
Blended $0.15 at 3:1
Context window
262K
Output speed
35 tokens/s
Median, measured by Artificial Analysis

Capability profile

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

  • Overall26 · #32 of 38

    Based on 2 of 3 benchmarks

  • Coding13 · #31 of 39

    Based on 3 of 5 benchmarks

  • Agents & knowledge work9 · #36 of 40

    Based on 1 of 6 benchmarks

  • Reasoning & science16 · #33 of 39

    Based on 2 of 2 benchmarks

  • Knowledge & reliability22 · #36 of 39

    Based on 2 of 2 benchmarks

  • Vision56 · #23 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 Index14.7

    #34 of 38· Reasoning effort· Artificial Analysis

  • Vals IndexNot tested
  • Arena · Text1453 ±7

    #21 of 33· 6,133 votes· Arena

Coding

  • Terminal-Bench 4.00.0%

    #35 of 38· Reasoning effort· Artificial Analysis

  • SciCode45.5%

    #31 of 38· Reasoning effort· Artificial Analysis

  • Arena · WebDev1365 ±6

    #32 of 34· 13,592 votes· Arena

  • Vibe Code BenchNot tested
  • Code MigrationNot tested

Agents & knowledge work

  • GDPval-AA6.1

    #35 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 Exam23.6%

    #32 of 39· Reasoning effort· Artificial Analysis

  • CritPt1.4%

    #33 of 39· Reasoning effort· Artificial Analysis

  • ARC-AGI-2saturatingNot tested
  • ARC-AGI-3Not tested
  • GPQA Diamondsaturating85.7%

    #20 of 27· Reasoning effort· Artificial Analysis

Knowledge & reliability

  • AA-Omniscience-48

    #37 of 39· Reasoning effort· Artificial Analysis

  • AA-LCR69.7%

    #34 of 39· Reasoning effort· Artificial Analysis

Vision

  • MMMU-Pro73.4%

    #22 of 27· Reasoning effort· Artificial Analysis

  • Arena · Vision1262 ±6

    #12 of 19· 39,111 votes· Arena

Reported by Google DeepMind

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.

  • GPQA Diamond84.3%
  • MMMU-Pro76.9%

Specifications

Lab
Google DeepMind
Released
Apr 2, 2026
Availability
Generally available
Context window
262,144 tokens
Max output
—
Accepts
Text, Images, Video
Knowledge cutoff
Jan 2025
Weights
Open
Licence
Apache 2.0
Parameters
30.7B
Reasoning control
Optional thinking mode
API model ID
gemma-4-31b-it

Pricing

Input / 1M tokens
$0.09
Cached input / 1M
$0.05
Output / 1M tokens
$0.34
Blended (3:1)
$0.15

Typical price at third-party hosts. The lab does not sell paid API access to this model.

Official sources

  • Announcement
  • Documentation
  • Weights

Closest alternatives

The models nearest to this one on overall score.

  • TMInkling-Small
    Intelligence Index
    25.7
    Price / 1M
    $0.52
    Compare the two
  • Muse Glimmer 30B
    Intelligence Index
    17.5
    Price / 1M
    $0.58
    Compare the two
  • TMInkling
    Intelligence Index
    25.0
    Price / 1M
    $1.76
    Compare the two
  • Mistral Medium 3.5
    Intelligence Index
    14.2
    Price / 1M
    $3
    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

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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.

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