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.
Added Apr 4, 2026
Context Window
262.1K
Max Output
131.1K
Avg output tokens (7d)
347 tokens
Input Price (Auto)
$0.40/1M
Output Price (Auto)
$1.00/1M
Cache Read (Auto)
$0.40/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and 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)
614 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 2, 2026
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