Gemini 2.5 Pro vs Mistral Large 25.12
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
Gemini 2.5 Pro by Google wins on 13 of 18 benchmarks against Mistral Large 25.12 by Mistral, which leads on 5. 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, Gemini 2.5 Pro scores 1465 on Chatbot Arena ELO compared to Mistral Large 25.12's 1418, while Gemini 2.5 Pro scores 84.0% on MMLU-Pro compared to Mistral Large 25.12's 73.0%, while Gemini 2.5 Pro scores 16.7 on AA Intelligence Index compared to Mistral Large 25.12's 9.7.
Coding: In coding, Gemini 2.5 Pro scores 89.0% on HumanEval+ compared to Mistral Large 25.12's 82.0%, while Gemini 2.5 Pro scores 63.8% on SWE-bench Verified compared to Mistral Large 25.12's 42.0%, while Gemini 2.5 Pro scores 58.0% on LiveCodeBench compared to Mistral Large 25.12's 44.0%, while Gemini 2.5 Pro scores 33.3 on AA Coding Index compared to Mistral Large 25.12's 20.1.
Math: In math, Gemini 2.5 Pro scores 88.0% on MATH compared to Mistral Large 25.12's 78.0%, while Gemini 2.5 Pro scores 95.5% on GSM8K compared to Mistral Large 25.12's 91.0%.
Reasoning: In reasoning, Gemini 2.5 Pro scores 84.0% on GPQA Diamond compared to Mistral Large 25.12's 52.0%, while Gemini 2.5 Pro scores 48.0% on ARC-AGI compared to Mistral Large 25.12's 28.0%, while Gemini 2.5 Pro scores 3.5 on AA Agentic Index compared to Mistral Large 25.12's 2.4.
Context: In context, Gemini 2.5 Pro scores 1.0M on Context Length compared to Mistral Large 25.12's 262K.
Pricing Comparison
Gemini 2.5 Pro costs $1.3/1M input tokens and $10.0/1M output tokens, while Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output. Mistral Large 25.12 is the more affordable option for API usage.
Speed Comparison
Gemini 2.5 Pro generates output at 55 tok/s compared to Mistral Large 25.12's 70 tok/s, and the time to first token is 500 ms for Gemini 2.5 Pro versus 380 ms for Mistral Large 25.12. Mistral Large 25.12 delivers faster throughput.
Verdict
For developers prioritizing coding and general intelligence and math, Gemini 2.5 Pro has the edge. For those who value affordability and speed, Mistral Large 25.12 is the stronger choice.
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Gemini 2.5 Pro vs Mistral Large 25.12 — FAQ
Which is better, Gemini 2.5 Pro or Mistral Large 25.12?
Gemini 2.5 Pro wins on more benchmarks overall (13 vs 5). However, the best choice depends on your specific needs — each model excels in different areas.
How does Gemini 2.5 Pro compare to Mistral Large 25.12 for coding?
Gemini 2.5 Pro is better for coding, scoring 63.8% on SWE-bench Verified compared to 42.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is Gemini 2.5 Pro cheaper than Mistral Large 25.12?
Yes, Mistral Large 25.12 is cheaper. Gemini 2.5 Pro costs $1.3/1M input and $10.0/1M output tokens. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens.
Which is faster, Gemini 2.5 Pro or Mistral Large 25.12?
Mistral Large 25.12 is faster, generating output at 70 tok/s compared to 55 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Gemini 2.5 Pro vs Mistral Large 25.12 comparison cover?
This comparison covers 18 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.