Google: Gemma 4 31B
Analysis Summary
Google: Gemma 4 31B sits in the Professional tier on our leaderboard, ranked #39 of 557 published models on overall intelligence. At $0.120 input and $0.370 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, and vision.
Editorial notes
Gemma 4 31B from Google combines strong reasoning, coding, vision, and tool use with a 262K context at very competitive pricing, making it a capable mid-tier option.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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 function..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Google: Gemma 4 31B stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
google/gemma-4-31b-it
|
| Provider | |
| Release Date | April 2, 2026 |
| Context Length | 262,144 tokens |
| Max Completion | 16,384 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.12 | $0.000120 |
| Output | $0.37 | $0.000370 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
