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Gemini 3 Pro vs GPT-5.3 Codex
Comprehensive side-by-side LLM comparison
GPT-5.3 Codex leads with 8.5% higher average benchmark score. Gemini 3 Pro supports multimodal inputs. Gemini 3 Pro is available on 2 providers. Overall, GPT-5.3 Codex 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-5.3 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.
2 months newer
Gemini 3 Pro
Google DeepMind
2025-11-18
GPT-5.3 Codex
OpenAI
2026-02
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 3 Pro
Average Score:56.2%
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GPT-5.3 Codex
Average Score:64.7%(+8.5%)
Performance comparison across key benchmark categories
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Gemini 3 Pro
Coding56.2%
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GPT-5.3 Codex
Coding64.7%(+8.5%)
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-5.3 Codex
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Gemini 3 Pro
Avg Score:56.2%
Providers:2
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GPT-5.3 Codex
Avg Score:64.7%(+8.5%)
Providers:0