Gemini 2.5 Pro vs Pixtral Large
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
Gemini 2.5 Pro by Google wins on 11 of 14 benchmarks against Pixtral Large 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, Gemini 2.5 Pro scores 1465 on Chatbot Arena ELO compared to Pixtral Large's 1270, while Gemini 2.5 Pro scores 84.0% on MMLU-Pro compared to Pixtral Large's 70.0%.
Coding: In coding, Gemini 2.5 Pro scores 89.0% on HumanEval+ compared to Pixtral Large's 80.0%, while Gemini 2.5 Pro scores 63.8% on SWE-bench Verified compared to Pixtral Large's 35.0%, while Gemini 2.5 Pro scores 58.0% on LiveCodeBench compared to Pixtral Large's 40.0%.
Math: In math, Gemini 2.5 Pro scores 88.0% on MATH compared to Pixtral Large's 74.0%, while Gemini 2.5 Pro scores 95.5% on GSM8K compared to Pixtral Large's 90.0%.
Reasoning: In reasoning, Gemini 2.5 Pro scores 84.0% on GPQA Diamond compared to Pixtral Large's 48.0%, while Gemini 2.5 Pro scores 48.0% on ARC-AGI compared to Pixtral Large's 22.0%.
Context: In context, Gemini 2.5 Pro scores 1.0M on Context Length compared to Pixtral Large's 131K.
Pricing Comparison
Gemini 2.5 Pro costs $1.3/1M input tokens and $10.0/1M output tokens, while Pixtral Large costs $2.0/1M input and $6.0/1M output. Gemini 2.5 Pro is the more affordable option for API usage.
Speed Comparison
Gemini 2.5 Pro generates output at 55 tok/s compared to Pixtral Large's 60 tok/s, and the time to first token is 500 ms for Gemini 2.5 Pro versus 400 ms for Pixtral Large. Pixtral Large delivers faster throughput.
Verdict
For developers prioritizing coding and general intelligence and math and affordability, Gemini 2.5 Pro has the edge. For those who value speed, Pixtral Large is the stronger choice.
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Gemini 2.5 Pro vs Pixtral Large — FAQ
Which is better, Gemini 2.5 Pro or Pixtral Large?
Gemini 2.5 Pro wins on more benchmarks overall (11 vs 3). However, the best choice depends on your specific needs — each model excels in different areas.
How does Gemini 2.5 Pro compare to Pixtral Large for coding?
Gemini 2.5 Pro is better for coding, scoring 63.8% on SWE-bench Verified compared to 35.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is Gemini 2.5 Pro cheaper than Pixtral Large?
Yes, Gemini 2.5 Pro is cheaper. Gemini 2.5 Pro costs $1.3/1M input and $10.0/1M output tokens. Pixtral Large costs $2.0/1M input and $6.0/1M output tokens.
Which is faster, Gemini 2.5 Pro or Pixtral Large?
Pixtral Large is faster, generating output at 60 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 Pixtral Large comparison cover?
This comparison covers 14 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.