Gemma 4 31B IT
No independent test. This API route aliases gemma-4-31b.
Language model
Gemma 4 31B IT
- Released
- April 2, 2026
- Data date
- September 26, 2026
- Input
- Text, Image
- Output
- Text
Google Gemma 4 31B IT is the instruction-tuned version of the dense 31B model. The model card lists 30.7 billion parameters plus text and image input. Compared with Gemma 4 26B A4B IT, this checkpoint activates its parameters densely rather than through MoE routing.
The model card lists up to 32,768 output tokens and more than 140 training languages. Audio input is not documented for this model. Its weights are released for local use.
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Measurements without matching peer values
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
MMLU Pro (Show measurement, test conditions, and source)
- Source value
- 85.2
- Score
- 85.2
- Metric
- percent
- Unit
- %
- Category
- vendor-evaluation
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Google DeepMind
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Gemma 4 model-card benchmark table; 31B column
AIME 2026 (no tools) (Show measurement, test conditions, and source)
- Source value
- 89.2
- Score
- 89.2
- Metric
- percent
- Unit
- %
- Category
- vendor-evaluation
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Google DeepMind
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Gemma 4 model-card benchmark table; 31B column
LiveCodeBench v6 (Show measurement, test conditions, and source)
- Source value
- 80
- Score
- 80
- Metric
- percent
- Unit
- %
- Category
- vendor-evaluation
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Google DeepMind
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Gemma 4 model-card benchmark table; 31B column
GPQA (Show measurement, test conditions, and source)
- Source value
- 84.3
- Score
- 84.3
- Metric
- percent
- Unit
- %
- Category
- vendor-evaluation
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Google DeepMind
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Gemma 4 model-card benchmark table; 31B column
Tau2 (Show measurement, test conditions, and source)
- Source value
- 76.9
- Score
- 76.9
- Metric
- percent
- Unit
- %
- Category
- vendor-evaluation
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Google DeepMind
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Gemma 4 model-card benchmark table; 31B column
Humanity's Last Exam (no tools) (Show measurement, test conditions, and source)
- Source value
- 19.5
- Score
- 19.5
- Metric
- percent
- Unit
- %
- Category
- vendor-evaluation
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Google DeepMind
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Gemma 4 model-card benchmark table; 31B column
Humanity's Last Exam (search) (Show measurement, test conditions, and source)
- Source value
- 26.5
- Score
- 26.5
- Metric
- percent
- Unit
- %
- Category
- vendor-evaluation
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Google DeepMind
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Gemma 4 model-card benchmark table; 31B column
BigBench Extra Hard (Show measurement, test conditions, and source)
- Source value
- 74.4
- Score
- 74.4
- Metric
- percent
- Unit
- %
- Category
- vendor-evaluation
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Google DeepMind
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Gemma 4 model-card benchmark table; 31B column
MMMLU (Show measurement, test conditions, and source)
- Source value
- 88.4
- Score
- 88.4
- Metric
- percent
- Unit
- %
- Category
- vendor-evaluation
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Google DeepMind
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Gemma 4 model-card benchmark table; 31B column
MMMU Pro (Show measurement, test conditions, and source)
- Source value
- 76.9
- Score
- 76.9
- Metric
- percent
- Unit
- %
- Category
- vendor-evaluation
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Google DeepMind
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Gemma 4 model-card benchmark table; 31B column
MATH-Vision (Show measurement, test conditions, and source)
- Source value
- 85.6
- Score
- 85.6
- Metric
- percent
- Unit
- %
- Category
- vendor-evaluation
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Google DeepMind
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Gemma 4 model-card benchmark table; 31B column
MedXpertQA (Show measurement, test conditions, and source)
- Source value
- 61.3
- Score
- 61.3
- Metric
- percent
- Unit
- %
- Category
- vendor-evaluation
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Google DeepMind
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Gemma 4 model-card benchmark table; 31B column
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Our tests
SVG short test
One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
Earlier tests
Pelican on a bicycle
A community classic for free-form SVG drawing.
Gemma 4 31B IT
Reasoning (requested): high
Current attempt
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- google/gemma-4-31b-it
- API model reported in response
- google/gemma-4-31b-it
- Reasoning setting
- high
- Pinned endpoint
- DeepInfra | google/gemma-4-31b-it-20260402
- Temperature
- Provider default
- Token limit including reasoning
- 8,192 tokens
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
- Response time
- 44.3 s
Visually reviewed. This individual test does not establish overall model quality.
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)Popularity
22.3 / 100
Sources and data date
| Type | Evidence and data date |
|---|---|
| Input | Documented modalities. Retrieved September 26, 2026. |
| Output | Documented modalities. Retrieved September 26, 2026. |
| Research status | Research date September 8, 2026. 5 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication. |
| Additional source | Hugging Face (retrieved October 15, 2026) · Gemma 4 31B instruction-tuned weights · Editorial description reviewed October 2, 2026 |
| Additional source | Google DeepMind (retrieved September 8, 2026) |
| Additional source | Model metadata (retrieved September 8, 2026) |
| Additional source | Model metadata (retrieved September 8, 2026) |
| Additional source | Model metadata (retrieved September 8, 2026) |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Creative Commons Attribution 4.0 |