Gemma 4 31B Instruct
Gemma 4 31B as a cloud API variant from Google DeepMind, with native support for text, image, audio, and video inputs and no local hardware requirements. The weights are also available for local deployment under the Apache 2.0 license, but this variant describes cloud usage with a context window of 128,000 tokens.
- Open Weights
- Workstation
- OpenRouter
- Text
- Vision
- Audio
- Video
- Instruction-Tuned
- Interactive
Sovereign Risk: MEDIUM Google DeepMind is a US company and subject to the CLOUD Act. When using the cloud API, data leaves the local network — the CLOUD Act is directly relevant. The weights are publicly available as an Open Weights model under Apache 2.0.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 73.21
- Routine
- 44.41
- Reasoning
- 28.8
- LLM Judge Avg
- 3.72 / 5
- 100 Coverage
- Avg Task Duration
- 23.12s
- Interactive
- Token Rate
- 31.23tok/s
- Output Rate
- P95 Latency
- 59.23s
- Top 5 %
- Total Tokens
- 47600
- Output Volume
- Cost per 1K
- $0.0004
- USD / 1K Requests
- Benchmark Cost
- $0.02
- Total · 47600 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Gemma 4 31B Instruct
Best model
Ø All models
Code Quality
73.56
CLI Benchmark
89
Logical Reasoning
73.3
UX Writing
68.67
Documentation
64.51
Content Transform.
79.12
Cultural Intelligence
72.36
Synthesis Quality
60
Tool Execution
90
ToolUse Score
74.17
Benchmark Cost
$0.02
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.