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Gemini 3.1 Pro vs GPT-5.1 Codex
Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro leads with 6.9% higher average benchmark score. Gemini 3.1 Pro supports multimodal inputs. Overall, Gemini 3.1 Pro is the stronger choice for coding tasks.
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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 Codex, released by OpenAI in November 2025, is a coding-specialized model from the GPT-5.1 family engineered for software engineering tasks including code generation, multi-file editing, and agentic development. It targets developers and automated coding pipelines requiring a GPT-5.1-generation model tuned for programming.
3 months newer
GPT-5.1 Codex
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%(+6.9%)
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GPT-5.1 Codex
Average Score:73.7%
Performance comparison across key benchmark categories
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Gemini 3.1 Pro
Coding80.6%(+6.9%)
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GPT-5.1 Codex
Coding73.7%
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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 Codex
0 providers
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Gemini 3.1 Pro
Avg Score:80.6%(+6.9%)
Providers:1
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GPT-5.1 Codex
Avg Score:73.7%
Providers:0