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Gemma 4 31B

Google · Released 31 Mar 2026 · gemma-4-31b-it

Compare this model
Open weightReasoningCodingVision

–

Input price / 1M tokens

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Output price / 1M tokens

262K

Context window

#54 of 71

35

Output tokens / second

#59 of 61

80%

LiveCodeBench

#2 of 7

84.3%

GPQA Diamond

#20 of 27

76.9%

τ²-bench

#5 of 6

19.5%

Humanity’s Last Exam (no tools)

#17 of 23

Summary

Gemma 4 31B is an open-weight model from Google, released on 31 Mar 2026.

Its 262K-token context window ranks #54 of 71.

Measured output speed is 35 tokens per second, #59 of 61.

Largest dense Gemma 4 open model (30.7B parameters), with a thinking mode, function calling and 256K context. Video is handled as frame sequences.

Benchmarks · 10 reported

BenchmarkScoreBarRankSource
MMLU Proinstruction-tuned85.2%–Gemma 4 model cardSelf-reported
AIME 2026no tools89.2%–Gemma 4 model cardSelf-reported
LiveCodeBench80%#2 of 7Gemma 4 model cardSelf-reported
Codeforces2,150Elo-style–Gemma 4 model cardSelf-reported
GPQA Diamond84.3%#20 of 27Gemma 4 model cardSelf-reported
τ²-benchaverage over 376.9%#5 of 6Gemma 4 model cardSelf-reported
Humanity’s Last Exam (no tools)no tools (26.5% with search)19.5%#17 of 23Gemma 4 model cardSelf-reported
BigBench Extra Hard74.4%–Gemma 4 model cardSelf-reported
MMMU-Pro76.9%#4 of 12Gemma 4 model cardSelf-reported
MRCR v2 (8-needle)128k average66.4%#8 of 13Gemma 4 model cardSelf-reported

Self-reported means the lab ran the test itself. A rank appears only where several labs report the same version of a benchmark.

Similar models

Models with the most benchmarks in common with Gemma 4 31B, and the closest scores.

Compare 4 side by side

LiveCodeBench

#2 of 7

Fresh competitive programming problems

GPQA Diamond

#20 of 27

Graduate-level science questions

τ²-bench

#5 of 6

Tool use with a simulated customer

Humanity’s Last Exam (no tools)

#17 of 23

Expert questions, no search or code

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