Gemma 4 31B Instruct
Gemma 4 31B Instruct is Google’s largest dense model, with 30.7 billion parameters across 60 layers and hybrid attention combining local sliding-window with global attention. Unlike the Gemma 4 MoE variant, this model activates all parameters per token. Multimodality for text and images, 256,000 tokens of context, native function calling, and a configurable thinking mode round out the profile. True Apache 2.0 license.
- Open Weights
- Workstation
- VSPK
- Text
- Vision
- Instruction-Tuned
- Batch
Sovereign Risk: MEDIUM Google DeepMind is a US company, meaning Cloud/API usage (Google Cloud, Vertex AI, OpenRouter) carries US CLOUD Act exposure. Gemma 4 was released as the first Gemma generation under a true Apache 2.0 license (no more restrictive Gemma Terms of Use), enabling unrestricted fine-tuning and commercial use. For purely local deployment via llama.cpp/GGUF/NVFP4, CLOUD Act relevance is eliminated entirely, as no data is transmitted to Google. Official weights are available directly on Hugging Face.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 71.96
- Routine
- 43.39
- Reasoning
- 28.57
- LLM Judge Avg
- 3.7 / 5
- 100 Coverage
- Avg Task Duration
- 61s
- Batch
- Token Rate
- 14.1tok/s
- Output Rate
- P95 Latency
- 150.52s
- Top 5 %
- Total Tokens
- 54000
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 54000 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.