Google: Gemma 4 31B
Analysis Summary
Gemma 4 31B is Google's larger open-weight model in the Gemma 4 family, with an intelligence index of 29.4 and a coding index of 43.4. It supports vision, video, tool use, and function calling with a 262K context window. Instruction following and long-context retrieval scores are both solid, and the agentic index of 48.2 is meaningfully higher than the 26B A4B variant.
For businesses, Gemma 4 31B is a versatile option for content generation, structured output tasks, SEO workflows, and moderate-complexity tool-calling pipelines. The video modality is a differentiator for multimedia content teams. It is not suited to frontier-level reasoning or complex autonomous agents, but it handles a wide range of everyday business tasks reliably.
At $0.12 input and $0.35 output per million tokens, it offers excellent value for its capability tier. Teams looking for a cost-efficient, multimodal model for content and tool-use workflows should consider it as a primary workhorse for routine operations.
Assessed June 30, 2026
Editorial notes
Gemma 4 31B from Google combines vision, video, tool use, and a 262K context window with strong instruction following at just $0.12 input per million tokens.
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 #84 of 385 AI models we track for overall intelligence, #44 of 139 for coding, #98 of 293 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 #44 of 139 models, placing it in the broader range 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.
