Gemini 3.1 Pro Benchmark Performance Analysis Across Multiple AI Evaluation Tasks
By
PunchTornado
Master baker tier. Every paragraph earns its place on the tray.
Summary
The article presents benchmark performance data for Gemini 3.1 Pro, comparing it against other leading AI models including Gemini 3 Pro, Sonnet 4.6, Opus 4.6, GPT-5.2, and GPT-5.3-Codex across various evaluation tasks. The benchmarks cover academic reasoning (Humanity's Last Exam), abstract reasoning (ARC-AGI-2), scientific knowledge (GPQA Diamond), and agentic terminal coding (Terminal-Bench 2.0). Gemini 3.1 Pro shows strong performance across multiple domains, with particularly notable results in scientific knowledge (94.3%) and terminal coding (68.5%). The model is described as the next iteration in the Gemini 3 series, representing highly capable, natively multimodal reasoning models.
Key quotes
· 4 pulledGemini 3.1 Pro is the next iteration in the Gemini 3 series of models, a suite of highly capable, natively multimodal reasoning models.
Humanity's Last Exam Academic reasoning (full set, text + MM) No tools 44.4%
GPQA Diamond Scientific knowledge No tools 94.3%
Terminal-Bench 2.0 Agentic terminal coding Terminus-2 harness 68.5%
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