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Gemini 2.0 Flash Thinking vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 37.1% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Gemini 2.0 Flash Thinking is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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OpenAI
GPT-5 Codex is a language model developed by OpenAI. It achieves strong performance with an average score of 74.5% across 1 benchmarks. Notable strengths include SWE-Bench Verified (74.5%). Released in 2025, it represents OpenAI's latest advancement in AI technology.
7 months newer
Gemini 2.0 Flash Thinking
2025-01-21
GPT-5 Codex
OpenAI
2025-09-15
Average performance across 4 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:55.7%(+37.1%)
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GPT-5 Codex
Average Score:18.6%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
GPT-5 Codex
2024-09-30
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 2.0 Flash Thinking
0 providers
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GPT-5 Codex
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:55.7%(+37.1%)
Providers:0
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GPT-5 Codex
Avg Score:18.6%
Providers:0