Google, released Apr 2, 2026

Gemma 4 31B ITprice, context, benchmarks and release details

Provisional: not enough results to rank yet Open weights 64% confidence, 2 of 7 expected sources in

63.0

SI Score

#45 of 142 ranked models

Input, per 1M tokens: $0.00
Output, per 1M tokens: $0.00
Context window: 262K
Max output: 32.8K
Released: Apr 2, 2026

How the score breaks down

Coding —

Math 73.3

Preference 77.1

Reasoning 75.8

Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 05:13 UTC.

Around it on the leaderboard

43 GLM-5.1 63.3
44 DeepSeek V4 Pro 63.1
45 Gemma 4 31B IT 63.0
46 DeepSeek V4 Pro 0813 63.0
47 Muse Spark 1.1 62.9

Full leaderboard

Benchmark results

3 benchmarks, 3 results

Each row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.

GPQA Diamondreasoning 75.8% 75.8

OTIS Mock AIME 2024–2025math 73.3% 73.3

LMArena Textpreference 1443.0 elo 77.1

Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.

Details and sources

Open weights: Yes
License: not yet reported
Input modalities: text, image
First seen by SuperIndex: Oct 8, 2026
Coverage: 51% of expected source weight

Reported (2)

Epoch AI BenchmarkingOct 8, 2026
LMArena / ArenaOct 8, 2026

Awaiting (5)

ARC Prize13% of weight
Humanity’s Last Exam13% of weight
Official model cards via models.dev4% of weight
LiveBench13% of weight
Terminal-Bench6% of weight

Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.