Google: Gemma 4 31B
Analysis Summary
Google's Gemma 4 31B is a full-parameter model with an intelligence index of 39.2 and a coding index of 38.7, placing it in the strong mid-tier of the current landscape. It supports text, image, and video inputs with tool use and function calling, and offers a 262K context window. At $0.12 input and $0.36 output per million tokens, it delivers strong capability per dollar.
For businesses, the 31B is well suited to coding assistance, structured content generation, and multimodal workflows where cost efficiency is a priority. Its agentic index of 48.2 is moderate, meaning it can handle tool-augmented tasks but may struggle with complex multi-step autonomous pipelines. Instruction following is strong, with an ifbench score of 0.756.
Teams looking for a cost-effective Google model with broad modality support and solid reasoning will find the 31B a practical choice. For more demanding agentic or reasoning workloads, stepping up to a higher-tier model is advisable.
Assessed June 6, 2026
Editorial notes
Gemma 4 31B from Google combines strong coding and reasoning with vision, video, and tool use at very low cost, making it a capable and affordable option for a wide range of business tasks.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Google: Gemma 4 31B compares
Google: Gemma 4 31B ranks #62 of 378 AI models we track for overall intelligence, #41 of 315 for coding, #90 of 289 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $0.12 per million input tokens it is cheaper than 60% of comparable models.
About Google: Gemma 4 31B
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 | 262,144 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.12 | $0.000120 |
| Output | $0.35 | $0.000350 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Google: Gemma 4 31B
How much does Google: Gemma 4 31B cost?
Google: Gemma 4 31B costs $0.12 per million input tokens and $0.35 per million output tokens.
What is the context window of Google: Gemma 4 31B?
Google: Gemma 4 31B has a context window of 262,144 tokens (262K).
Is Google: Gemma 4 31B good for coding?
On our coding benchmark index, Google: Gemma 4 31B ranks #41 of 315 models, placing it in the top quartile of the field for code generation and debugging.
What can Google: Gemma 4 31B do?
Google: Gemma 4 31B supports image/vision input, tool use, and function calling.
Who created Google: Gemma 4 31B?
Google: Gemma 4 31B is developed by Google and was released on April 2, 2026.
