Private AI
Google's Gemma 4 31B instruction-tuned model with thinking explicitly enabled, exposing reasoning traces for complex multimodal and coding workflows.
Added Apr 2, 2026
Model weightsContext Window
262.1K
Max Output
131.1K
Avg output tokens (7d)
1.6K tokens
Input Price (Auto)
$0.10/1M
Output Price (Auto)
$0.36/1M
Cache Read (Auto)
$0.10/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
29.4
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Coding Index
43.4
GPQA Diamond
Graduate-level scientific reasoning
85.7%
Better than 84% of models compared
HLE
Humanity's Last Exam
22.7%
Better than 81% of models compared
IFBench
Instruction-following benchmark
75.6%
Better than 93% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
59.9%
Better than 56% of models compared
AA-LCR
Long context reasoning evaluation
62.0%
Better than 74% of models compared
SciCode
Python programming for scientific computing
43.4%
Better than 82% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
36.4%
Last updated Aug 4, 2026
Artificial AnalysisBetter than 83% of models compared
