Mistral Large 25.12 vs Qwen 3 Max

Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.

Qwen 3 Max by Qwen wins on 8 of 15 benchmarks against Mistral Large 25.12 by Mistral, which leads on 6. 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 Qwen 3 Max's 1340, while Qwen 3 Max scores 79.0% on MMLU-Pro compared to Mistral Large 25.12's 73.0%.

Coding: In coding, Qwen 3 Max scores 86.0% on HumanEval+ compared to Mistral Large 25.12's 82.0%, while Qwen 3 Max scores 46.0% on SWE-bench Verified compared to Mistral Large 25.12's 42.0%, while Qwen 3 Max scores 50.0% on LiveCodeBench compared to Mistral Large 25.12's 44.0%.

Math: In math, Qwen 3 Max scores 84.0% on MATH compared to Mistral Large 25.12's 78.0%, while Qwen 3 Max scores 94.0% on GSM8K compared to Mistral Large 25.12's 91.0%.

Reasoning: In reasoning, Qwen 3 Max scores 58.0% on GPQA Diamond compared to Mistral Large 25.12's 52.0%, while Qwen 3 Max scores 40.0% on ARC-AGI compared to Mistral Large 25.12's 28.0%.

Context: In context, both score 262K on Context Length.

Pricing Comparison

Mistral Large 25.12 costs $0.50/1M input tokens and $1.5/1M output tokens, while Qwen 3 Max costs $0.78/1M input and $3.9/1M output. Mistral Large 25.12 is the more affordable option for API usage.

Speed Comparison

Mistral Large 25.12 generates output at 70 tok/s compared to Qwen 3 Max's 55 tok/s, and the time to first token is 380 ms for Mistral Large 25.12 versus 500 ms for Qwen 3 Max. Mistral Large 25.12 delivers faster throughput.

Verdict

For developers prioritizing general intelligence and affordability and speed, Mistral Large 25.12 has the edge. For those who value coding and math, Qwen 3 Max is the stronger choice.

Mistral Large 25.12 vs Qwen 3 Max — FAQ

Which is better, Mistral Large 25.12 or Qwen 3 Max?

Qwen 3 Max wins on more benchmarks overall (8 vs 6). However, the best choice depends on your specific needs — each model excels in different areas.

How does Mistral Large 25.12 compare to Qwen 3 Max for coding?

Qwen 3 Max is better for coding, scoring 46.0% on SWE-bench Verified compared to 42.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.

Is Mistral Large 25.12 cheaper than Qwen 3 Max?

Yes, Mistral Large 25.12 is cheaper. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens. Qwen 3 Max costs $0.78/1M input and $3.9/1M output tokens.

Which is faster, Mistral Large 25.12 or Qwen 3 Max?

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 Mistral Large 25.12 vs Qwen 3 Max 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.