Gemini 3.1 Pro vs Mistral Large 25.12
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
Gemini 3.1 Pro by Google wins on 10 of 14 benchmarks against Mistral Large 25.12 by Mistral, which leads on 4. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from the AI Value Index.
Category-by-Category Breakdown
General Intelligence: In general intelligence, Gemini 3.1 Pro scores 1501 on Chatbot Arena ELO compared to Mistral Large 25.12's 1418, while Gemini 3.1 Pro scores 92.6% on MMLU-Pro compared to Mistral Large 25.12's 73.0%.
Coding: In coding, Gemini 3.1 Pro scores 93.0% on HumanEval+ compared to Mistral Large 25.12's 82.0%, while Gemini 3.1 Pro scores 80.6% on SWE-bench Verified compared to Mistral Large 25.12's 42.0%, while Gemini 3.1 Pro scores 75.0% on LiveCodeBench compared to Mistral Large 25.12's 44.0%.
Math: In math, Gemini 3.1 Pro scores 93.0% on MATH compared to Mistral Large 25.12's 78.0%, while Gemini 3.1 Pro scores 98.0% on GSM8K compared to Mistral Large 25.12's 91.0%.
Reasoning: In reasoning, Gemini 3.1 Pro scores 94.1% on GPQA Diamond compared to Mistral Large 25.12's 52.0%, while Gemini 3.1 Pro scores 77.1% on ARC-AGI compared to Mistral Large 25.12's 28.0%.
Context: In context, Gemini 3.1 Pro scores 1.0M on Context Length compared to Mistral Large 25.12's 131K.
Pricing Comparison
Gemini 3.1 Pro costs $2.0/1M input tokens and $12.0/1M 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 3.1 Pro generates output at 65 tok/s compared to Mistral Large 25.12's 70 tok/s, and the time to first token is 420 ms for Gemini 3.1 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 3.1 Pro has the edge. For those who value affordability and speed, Mistral Large 25.12 is the stronger choice.
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Gemini 3.1 Pro vs Mistral Large 25.12 — FAQ
Which is better, Gemini 3.1 Pro or Mistral Large 25.12?
Gemini 3.1 Pro wins on more benchmarks overall (10 vs 4). However, the best choice depends on your specific needs — each model excels in different areas.
How does Gemini 3.1 Pro compare to Mistral Large 25.12 for coding?
Gemini 3.1 Pro is better for coding, scoring 80.6% on SWE-bench Verified compared to 42.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is Gemini 3.1 Pro cheaper than Mistral Large 25.12?
Yes, Mistral Large 25.12 is cheaper. Gemini 3.1 Pro costs $2.0/1M input and $12.0/1M output tokens. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens.
Which is faster, Gemini 3.1 Pro or Mistral Large 25.12?
Mistral Large 25.12 is faster, generating output at 70 tok/s compared to 65 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Gemini 3.1 Pro vs Mistral Large 25.12 comparison cover?
This comparison covers 14 benchmarks including Chatbot Arena ELO, MMLU-Pro, HumanEval+, MATH, SWE-bench Verified, GPQA Diamond, Output Speed, Time to First Token, and more. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.