GPT-5.1 Codex Mini vs Mistral Large 25.12
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
GPT-5.1 Codex Mini by OpenAI wins on 10 of 15 benchmarks against Mistral Large 25.12 by Mistral, which leads on 3. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from our benchmark data.
Category-by-Category Breakdown
General Intelligence: In general intelligence, Mistral Large 25.12 scores 1418 on Chatbot Arena ELO compared to GPT-5.1 Codex Mini's 1310, while Mistral Large 25.12 scores 73.0% on MMLU-Pro compared to GPT-5.1 Codex Mini's 72.0%.
Coding: In coding, GPT-5.1 Codex Mini scores 88.0% on HumanEval+ compared to Mistral Large 25.12's 82.0%, while GPT-5.1 Codex Mini scores 55.0% on SWE-bench Verified compared to Mistral Large 25.12's 42.0%, while GPT-5.1 Codex Mini scores 65.0% on LiveCodeBench compared to Mistral Large 25.12's 44.0%.
Math: In math, both score 78.0% on MATH, while GPT-5.1 Codex Mini scores 92.0% on GSM8K compared to Mistral Large 25.12's 91.0%.
Reasoning: In reasoning, both score 52.0% on GPQA Diamond, while GPT-5.1 Codex Mini scores 35.0% on ARC-AGI compared to Mistral Large 25.12's 28.0%.
Context: In context, GPT-5.1 Codex Mini scores 400K on Context Length compared to Mistral Large 25.12's 262K.
Pricing Comparison
GPT-5.1 Codex Mini costs $0.25/1M input tokens and $2.0/1M output tokens, while Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output. GPT-5.1 Codex Mini is the more affordable option for API usage.
Speed Comparison
GPT-5.1 Codex Mini generates output at 170 tok/s compared to Mistral Large 25.12's 70 tok/s, and the time to first token is 180 ms for GPT-5.1 Codex Mini versus 380 ms for Mistral Large 25.12. GPT-5.1 Codex Mini delivers faster throughput.
Verdict
For developers prioritizing coding and affordability and speed, GPT-5.1 Codex Mini has the edge. For those who value general intelligence, Mistral Large 25.12 is the stronger choice.
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GPT-5.1 Codex Mini vs Mistral Large 25.12 — FAQ
Which is better, GPT-5.1 Codex Mini or Mistral Large 25.12?
GPT-5.1 Codex Mini wins on more benchmarks overall (10 vs 3). However, the best choice depends on your specific needs — each model excels in different areas.
How does GPT-5.1 Codex Mini compare to Mistral Large 25.12 for coding?
GPT-5.1 Codex Mini is better for coding, scoring 55.0% on SWE-bench Verified compared to 42.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is GPT-5.1 Codex Mini cheaper than Mistral Large 25.12?
Yes, GPT-5.1 Codex Mini is cheaper. GPT-5.1 Codex Mini costs $0.25/1M input and $2.0/1M output tokens. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens.
Which is faster, GPT-5.1 Codex Mini or Mistral Large 25.12?
GPT-5.1 Codex Mini is faster, generating output at 170 tok/s compared to 70 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the GPT-5.1 Codex Mini vs Mistral Large 25.12 comparison cover?
This comparison covers 15 benchmarks including Chatbot Arena ELO, MMLU-Pro, HumanEval+, MATH, GPQA Diamond, SWE-bench Verified, Output Speed, LiveCodeBench, and more. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.