Private AI
Gemma 4 31B Instruct is a 30.7B dense model with a long context window, multilingual performance, function calling, and configurable reasoning. Running inside a TEE (Trusted Execution Environment), with provider attestation support.
Added May 26, 2026
Model weightsContext Window
262.1K
Max Output
262.1K
Avg output tokens (7d)
8.1K tokens
Input Price (Auto)
$0.15/1M
Output Price (Auto)
$0.46/1M
Cache Read (Auto)
$0.075/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
24.8
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GPQA Diamond
Graduate-level scientific reasoning
76.3%
Better than 68% of models compared
HLE
Humanity's Last Exam
11.5%
Better than 69% of models compared
IFBench
Instruction-following benchmark
53.5%
Better than 65% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
65.5%
Better than 61% of models compared
AA-LCR
Long context reasoning evaluation
36.0%
Better than 51% of models compared
SciCode
Python programming for scientific computing
41.1%
Better than 81% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
30.3%
Last updated Jul 5, 2026
Artificial AnalysisBetter than 74% of models compared
