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Gemini 3.1 Pro vs GPT-5.1 Thinking
Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro leads with 4.3% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Google DeepMind
Gemini 3.1 Pro is a multimodal language model from Google DeepMind, released in preview in February 2026 as a point-version upgrade to Gemini 3 Pro focused on improving reasoning depth, factual grounding, and coding and agentic task performance. The model accepts text, images, video, audio, and PDFs as inputs across a 1M token context window, extending the multimodal breadth of the Gemini 3 series with a companion endpoint specifically optimized for custom tool use in agentic pipelines. Google describes it as built to refine the reliability and performance of the Gemini 3 Pro series, reflecting an incremental engineering iteration rather than an architectural overhaul.
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OpenAI
GPT-5.1 Thinking, released by OpenAI in November 2025, is an extended reasoning variant from the GPT-5.1 family that applies chain-of-thought processing to improve accuracy on complex reasoning, mathematics, and coding tasks. It targets analytical workflows where deliberate reasoning over a problem significantly improves output quality.
3 months newer
GPT-5.1 Thinking
OpenAI
2025-11
Gemini 3.1 Pro
Google DeepMind
2026-02-19
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 3.1 Pro
Average Score:80.6%(+4.3%)
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GPT-5.1 Thinking
Average Score:76.3%
Performance comparison across key benchmark categories
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Gemini 3.1 Pro
Coding80.6%(+4.3%)
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GPT-5.1 Thinking
Coding76.3%
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Knowledge Cutoff
Training data recency comparison
Gemini 3.1 Pro
2025-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 3.1 Pro
1 providers
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GPT-5.1 Thinking
0 providers
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Gemini 3.1 Pro
Avg Score:80.6%(+4.3%)
Providers:1
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GPT-5.1 Thinking
Avg Score:76.3%
Providers:0