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Gemma 4 31B Thinking TEE

Google's Gemma 4 31B instruction-tuned model in a Trusted Execution Environment (TEE) with thinking explicitly enabled and provider attestation support.

  • Reasoning
  • Vision
  • Structured Output

Added May 2, 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)
858 tokens
Longer than 67% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

14.7

Better than 58% of models compared

Coding Index

43.4

Better than 49% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

4.9%

Better than 26% of models compared

AutomationBench-AA Tasks Completed

Fully completed workflows without guardrail violations

0.5%

Better than 27% of models compared

AA-Briefcase v1.1

Agentic knowledge work (Elo)

368 Elo

Better than 17% of models compared

GDPval-AA v2.1

Economically valuable tasks (Elo)

620 Elo

Better than 29% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

6.0%

Better than 31% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

69.7%

Better than 60% of models compared

Reasoning

HLE

Humanity's Last Exam

23.6%

Better than 70% 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 38% 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 60% of models compared

Last updated Oct 22, 2026

Artificial Analysis

Providers

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