Private AI
Google's Gemma 4 31B instruction-tuned model for heavier reasoning, coding, agentic workflows, and long-context multimodal understanding. This route keeps tokenizer thinking disabled for faster direct answers.
Added Apr 2, 2026
Model weightsContext Window
262.1K
Max Output
131.1K
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
