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GPT-5 Codex vs MiMo-V2-Flash
Comprehensive side-by-side LLM comparison
GPT-5 Codex leads with 1.1% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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.
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Xiaomi
MiMo-V2-Flash, released by Xiaomi on December 16, 2025, is a Mixture-of-Experts large language model with 309 billion total parameters and 15 billion active parameters per inference, designed for high-speed reasoning and agentic workflows. It features a 256K token context window, processes up to 150 tokens per second, and was trained on 27 trillion tokens. MiMo-V2-Flash targets open-source deployments requiring fast, capable coding and reasoning with an efficient inference footprint, under an MIT license.
4 months newer
GPT-5 Codex
OpenAI
2025-08
MiMo-V2-Flash
Xiaomi
2025-12-16
Average performance across 1 common benchmarks
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GPT-5 Codex
Average Score:74.5%(+1.1%)
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MiMo-V2-Flash
Average Score:73.4%
Performance comparison across key benchmark categories
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GPT-5 Codex
Coding74.5%(+1.1%)
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MiMo-V2-Flash
Coding73.4%
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 Codex
0 providers
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MiMo-V2-Flash
0 providers
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GPT-5 Codex
Avg Score:74.5%(+1.1%)
Providers:0
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MiMo-V2-Flash
Avg Score:73.4%
Providers:0