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Gemini 3 Pro vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 6.3% higher average benchmark score. Gemini 3 Pro supports multimodal inputs. Gemini 3 Pro is available on 2 providers. Overall, Gemini 3 Pro is the stronger choice for coding tasks.
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Google DeepMind
Gemini 3 Pro, released by Google in November 2025, is a large language model from the Gemini 3 family designed for complex reasoning, broad world knowledge, and multi-step problem solving. It features a 1M token context window, 64K maximum output tokens, and native multimodal input including text, images, audio, and video. Gemini 3 Pro targets research-grade reasoning, advanced data analysis, and applications requiring comprehensive understanding across diverse input formats.
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OpenAI
GPT-5 Codex, released by OpenAI in August 2025, is a coding-specialized large language model from the GPT-5 family engineered for software engineering, code generation, and agentic development workflows. It builds on GPT-5's architecture with optimizations targeting multi-file code editing, test generation, and automated debugging. GPT-5 Codex targets developers and agentic coding tools requiring a model tuned specifically for programming tasks.
3 months newer
GPT-5 Codex
OpenAI
2025-08
Gemini 3 Pro
Google DeepMind
2025-11-18
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 3 Pro
Average Score:60.3%(+6.3%)
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GPT-5 Codex
Average Score:54.0%
Performance comparison across key benchmark categories
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Gemini 3 Pro
Coding60.3%(+6.3%)
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GPT-5 Codex
Coding54.0%
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 3 Pro
2 providers
Google Cloud Vertex AI
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GPT-5 Codex
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Gemini 3 Pro
Avg Score:60.3%(+6.3%)
Providers:2
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GPT-5 Codex
Avg Score:54.0%
Providers:0