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Gemini 1.5 Flash 8B vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash 8B leads with 50.8% higher average benchmark score. Gemini 1.5 Flash 8B supports multimodal inputs. Overall, Gemini 1.5 Flash 8B is the stronger choice for coding tasks.
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Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). 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 2024, 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.
1 year newer
Gemini 1.5 Flash 8B
2024-03-15
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 1.5 Flash 8B
Average Score:56.1%(+50.8%)
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GPT-5 Codex
Average Score:5.3%
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Knowledge Cutoff
Training data recency comparison
GPT-5 Codex
2024-09-30
Gemini 1.5 Flash 8B
2024-10-01
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 1.5 Flash 8B
1 providers
Throughput: 150 tok/s
Latency: 0.3ms
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GPT-5 Codex
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Gemini 1.5 Flash 8B
Avg Score:56.1%(+50.8%)
Providers:1
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GPT-5 Codex
Avg Score:5.3%
Providers:0