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Gemini 3.1 Pro vs GPT-5.1
Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro leads with 4.4% 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, released by OpenAI in November 2025, is a large language model from the GPT-5 family that delivers incremental improvements in reasoning, instruction following, and multimodal understanding over GPT-5. It features a 400K token context window and targets general-purpose development, long-context analysis, and agentic workflows.
3 months newer
GPT-5.1
OpenAI
2025-11
Gemini 3.1 Pro
Google DeepMind
2026-02-19
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 3.1 Pro
Average Score:70.2%(+4.4%)
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GPT-5.1
Average Score:65.8%
Performance comparison across key benchmark categories
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Gemini 3.1 Pro
Coding80.6%(+4.3%)
Finance59.7%(+4.4%)
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GPT-5.1
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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
0 providers
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Gemini 3.1 Pro
Avg Score:70.2%(+4.4%)
Providers:1
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GPT-5.1
Avg Score:65.8%
Providers:0