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GPT-5.3 Codex vs Mistral Large 3

A detailed comparison of GPT-5.3 Codex (OpenAI) and Mistral Large 3 (Mistral) across pricing, performance, and features.

Pricing Comparison

MetricGPT-5.3 CodexMistral Large 3Difference
Input / 1M tokens$2.00$2.00
Output / 1M tokens$16.00$5.00-69%
Context window200K128K
Max output65.536K16.384K

Benchmark Comparison

BenchmarkGPT-5.3 CodexMistral Large 3
MMLU-Pro90%83%
HumanEval96.5%91%
GPQA78%

Capabilities

CapabilityGPT-5.3 CodexMistral Large 3
code
reasoning
text
tool-use
vision

GPT-5.3 Codex Strengths

  • Best coding model from OpenAI
  • Large output window (65K tokens)
  • Strong reasoning for complex tasks

GPT-5.3 Codex Weaknesses

  • API access not yet available
  • Premium pricing

Mistral Large 3 Strengths

  • Low output cost ($5/1M) for a flagship
  • Strong multilingual support
  • European data sovereignty option

Mistral Large 3 Weaknesses

  • Lower benchmarks than top-tier competitors
  • Smaller ecosystem

Quick Verdict

Best value: Mistral Large 3 is the more affordable option at $2/$5 per 1M tokens.

Higher benchmarks: GPT-5.3 Codex scores higher on average across available benchmarks (88.2% avg).

Larger context: GPT-5.3 Codex supports 200K tokens.

Choose Mistral Large 3 if cost matters most. Choose GPT-5.3 Codex if you need the best possible quality for complex tasks.

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