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Gemini 2.0 Flash-Lite vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 49.4% higher average benchmark score. Gemini 2.0 Flash-Lite supports multimodal inputs. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
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Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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-Lite
2025-02-05
GPT-5 Codex
OpenAI
2025-09-15
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Gemini 2.0 Flash-Lite
Average Score:54.8%(+49.4%)
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GPT-5 Codex
Average Score:5.3%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash-Lite
2024-06-01
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-Lite
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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GPT-5 Codex
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Gemini 2.0 Flash-Lite
Avg Score:54.8%(+49.4%)
Providers:1
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GPT-5 Codex
Avg Score:5.3%
Providers:0