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Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemini 2.0 Flash Thinking

Google

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.

OpenAI

GPT-5 Codex

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.

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

OpenAI

GPT-5 Codex

OpenAI

2025-09-15

7 months newer

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash Thinking

general
73.8%
OpenAI

GPT-5 Codex

general
+0.8%
74.5%
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

Google

Gemini 2.0 Flash Thinking

0 providers
OpenAI

GPT-5 Codex

0 providers
Google

Gemini 2.0 Flash Thinking

Avg Score:0.0%
Providers:0
OpenAI

GPT-5 Codex

Avg Score:0.0%
Providers:0