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
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
29.7
Coding Index
43.4
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
85.7%
Better than 82% of models compared
HLE
Humanity's Last Exam
23.6%
Better than 79% 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 57% of models compared
AA-LCR
Long context reasoning evaluation
68.3%
Better than 76% of models compared
Coding
SciCode
Python programming for scientific computing
43.4%
Better than 80% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
36.4%
Better than 83% of models compared
Last updated Aug 18, 2026
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