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Gemini 2.5 Flash vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
GPT-5 Codex leads with 27.0% higher average benchmark score. Gemini 2.5 Flash supports multimodal inputs. Gemini 2.5 Flash is available on 2 providers. Overall, GPT-5 Codex is the stronger choice for coding tasks.
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Google DeepMind
Gemini 2.5 Flash, released by Google in June 2025, is a large language model from the Gemini 2.5 family optimized for high-throughput, cost-efficient deployments with multimodal reasoning. It features a 1M token context window, hybrid thinking control, and native support for text, image, video, and audio input. Gemini 2.5 Flash targets latency-sensitive applications, document analysis, and high-volume API workloads that benefit from combined reasoning and generation in a single model.
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OpenAI
GPT-5 Codex, released by OpenAI in August 2025, is a coding-specialized large language model from the GPT-5 family engineered for software engineering, code generation, and agentic development workflows. It builds on GPT-5's architecture with optimizations targeting multi-file code editing, test generation, and automated debugging. GPT-5 Codex targets developers and agentic coding tools requiring a model tuned specifically for programming tasks.
1 month newer
Gemini 2.5 Flash
Google DeepMind
2025-06-17
GPT-5 Codex
OpenAI
2025-08
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.5 Flash
Average Score:16.4%
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GPT-5 Codex
Average Score:43.4%(+27.0%)
Performance comparison across key benchmark categories
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Gemini 2.5 Flash
Coding16.4%
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GPT-5 Codex
Coding43.4%(+27.0%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.5 Flash
2 providers
Google Cloud Vertex AI
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GPT-5 Codex
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Gemini 2.5 Flash
Avg Score:16.4%
Providers:2
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GPT-5 Codex
Avg Score:43.4%(+27.0%)
Providers:0