Gemma 4 31B by Google DeepMind — 256K Context
30.7B-parameter dense multimodal model from Google DeepMind with 256K token context. Handles text, image, and video input with text output. Features hybrid attention (sliding window + global), configurable thinking mode, native function calling, and multilingual support in 140+ languages. Optimized for coding, reasoning, and agentic workflows.
At a glance
Modalities
Context window
256,000
Pricing
input / output per 1M
Reasoning
Capabilities
Streaming
Real-time token-by-token response streaming
Function calling
Connect the model to external tools and systems
Structured outputs
Return responses in JSON schema format
Fine-tuning
Custom model training on your data
Reasoning
Extended thinking before responding
Benchmarks
| MMLU PRO | 85.2 |
| AIME 2026 | 89.2 |
| LIVECODEBENCH V6 | 80.0 |
| CODEFORCES ELO | 2150 |
| GPQA DIAMOND | 84.3 |
| TAU2 AVG | 76.9 |
| HLE NO TOOLS | 19.5 |
| HLE WITH SEARCH | 26.5 |
| BIGBENCH EXTRA HARD | 74.4 |
| MMMLU | 88.4 |
| MMMU PRO | 76.9 |
| OMNIDOCBENCH 1 5 | 0.131 |
| MATH VISION | 85.6 |
| MEDXPERTQA MM | 61.3 |
| LONG CONTEXT MRCR V2 | 66.4 |
Details
| Release date | 2026-05-01 |
| Model ID | gemma-4-31b |
| Provider | Google DeepMind |
What You Need to Know About Gemma 4 31B
Complete Overview of Gemma 4 31B by Google DeepMind
Get detailed information about Gemma 4 31B, including its context window of 256000 tokens, pricing per million tokens, supported input and output modalities, and benchmark scores. This model from Google DeepMind offers specific capabilities for natural language processing, code generation, and complex reasoning tasks that set it apart from alternatives.
Pricing and Cost Analysis for Gemma 4 31B
Compare input and output token pricing for Gemma 4 31B against other models in its class. Understanding LLM pricing is essential for budgeting your AI applications at scale. We break down the cost per million tokens for both input and output so you can estimate the total cost of your workloads and compare value across providers.
Benchmarks and Performance Metrics for Gemma 4 31B
Review benchmark performance data for Gemma 4 31B across key evaluation metrics. Compare its reasoning, coding, and language understanding capabilities against competing models to determine if it is the right fit for your specific requirements, whether that involves complex analysis, creative generation, or efficient inference at scale.