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Gemini 2.5 Flash vs GPT-5.3 Codex
Comprehensive side-by-side LLM comparison
GPT-5.3 Codex leads with 48.3% higher average benchmark score. Gemini 2.5 Flash supports multimodal inputs. Gemini 2.5 Flash is available on 2 providers. Overall, GPT-5.3 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-5.3 Codex, released by OpenAI in February 2026, is a coding-specialized large language model from the GPT-5.3 family. It targets software engineering workflows including automated code generation, test writing, and agentic multi-file editing, built on the incremental improvements of the GPT-5.3 generation.
7 months newer
Gemini 2.5 Flash
Google DeepMind
2025-06-17
GPT-5.3 Codex
OpenAI
2026-02
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-5.3 Codex
Average Score:64.7%(+48.3%)
Performance comparison across key benchmark categories
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Gemini 2.5 Flash
Coding16.4%
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GPT-5.3 Codex
Coding64.7%(+48.3%)
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-5.3 Codex
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Gemini 2.5 Flash
Avg Score:16.4%
Providers:2
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GPT-5.3 Codex
Avg Score:64.7%(+48.3%)
Providers:0