Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
| 1 model | googleGoogle: Gemma 4 31BRemove × |
|---|---|
| What’s different | Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native… |
| Date | Mar 11, 2026Listed |
API prices USD · provider configuration shown below | |
| Listed rate | $0.10 in / $0.34 out/ 1M tokensCoreWeave · via OpenRouter · all routes ↗coreweave/fp4 · quantization=fp4 |
| Provider endpoints | 20 endpoints → |
Benchmarks Each result retains its evaluation configuration | |
| LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 41.53% ↗Effort: max · single run · equal mean of 7 suitesIndependent result |
| LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 58.4% ↗Effort: max · single runIndependent result |
| LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 44.4% ↗Effort: max · single runIndependent result |
| LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 4% ↗Effort: max · single runIndependent result |
| LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 49% ↗Effort: max · single runIndependent result |
| LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 13.3% ↗Effort: max · single runIndependent result |
| LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 53.3% ↗Effort: max · single runIndependent result |
| LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02) | 68.3% ↗Effort: max · single runIndependent result |
Specifications | |
| Context window | 262.1K |
| Max output | 16.4K |
| Parameters | 31B |
| Tool calling | Supported |
| Structured output | Supported |
| Image input | Supported |
| Video input | Supported |
| Reasoning | Supported |
| Open weights | Supported |