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Gemini 3.1 Pro vs GPT-5.3 Codex
Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro leads with 10.1% 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-5.3 Codex, released by OpenAI in February 2026, is a coding-specialized large language model from the GPT-5.3 family. It targets software engineering workflows including automated code generation, test writing, and agentic multi-file editing, built on the incremental improvements of the GPT-5.3 generation.
18 days newer
GPT-5.3 Codex
OpenAI
2026-02
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:74.8%(+10.1%)
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GPT-5.3 Codex
Average Score:64.7%
Performance comparison across key benchmark categories
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Gemini 3.1 Pro
Coding74.8%(+10.1%)
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GPT-5.3 Codex
Coding64.7%
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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-5.3 Codex
0 providers
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Gemini 3.1 Pro
Avg Score:74.8%(+10.1%)
Providers:1
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GPT-5.3 Codex
Avg Score:64.7%
Providers:0