Gemma 4 31B TEE
Google's Gemma 4 31B instruction-tuned model in a Trusted Execution Environment (TEE) with attestation support. This route keeps reasoning disabled for faster direct answers while preserving structured output support.
- Vision
- Structured Output
Added Apr 4, 2026
Pricing
Auto routing · per 1M tokens- Input
- $0.40
- Output
- $1.00
- Cache read
- $0.40
Specifications
- Context window
- 262.1K
- Max output
- 131.1K
- Parameters
- 31B
- Avg output (7d)
- 319 tokens
- Longer than 28% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
14.7
Coding Index
43.4
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
4.9%
Better than 28% of models compared
Harvey LAB-AA
Legal agentic work criterion pass rate
47.2%
Better than 4% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
365 Elo
Better than 19% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
623 Elo
Better than 31% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
6.0%
Better than 30% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
69.7%
Better than 62% of models compared
Reasoning
HLE
Humanity's Last Exam
23.6%
Better than 72% of models compared
IFBench
Instruction-following benchmark
75.6%
Better than 93% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
0.0%
Better than 16% of models compared
SciCode
Python programming for scientific computing
45.5%
Better than 41% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
85.7%
Better than 79% of models compared
Terminal-Bench Hard (legacy)
Agentic coding and terminal use
36.4%
Better than 83% of models compared
T²-Bench Telecom (legacy)
Conversational AI agents in dual-control scenarios
59.9%
Better than 56% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
69.7%
Better than 62% of models compared
Last updated Oct 3, 2026
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