Mistral Large 25.12 vs Qwen 3.5 397B
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
Qwen 3.5 397B by Qwen wins on 11 of 18 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 3.5 397B's 1350, while Qwen 3.5 397B scores 81.0% on MMLU-Pro compared to Mistral Large 25.12's 73.0%, while Qwen 3.5 397B scores 19.1 on AA Intelligence Index compared to Mistral Large 25.12's 9.7.
Coding: In coding, Qwen 3.5 397B scores 88.0% on HumanEval+ compared to Mistral Large 25.12's 82.0%, while Qwen 3.5 397B scores 76.4% on SWE-bench Verified compared to Mistral Large 25.12's 42.0%, while Qwen 3.5 397B scores 54.0% on LiveCodeBench compared to Mistral Large 25.12's 44.0%, while Qwen 3.5 397B scores 48.2 on AA Coding Index compared to Mistral Large 25.12's 20.1.
Math: In math, Qwen 3.5 397B scores 87.0% on MATH compared to Mistral Large 25.12's 78.0%, while Qwen 3.5 397B scores 95.0% on GSM8K compared to Mistral Large 25.12's 91.0%.
Reasoning: In reasoning, Qwen 3.5 397B scores 62.0% on GPQA Diamond compared to Mistral Large 25.12's 52.0%, while Qwen 3.5 397B scores 45.0% on ARC-AGI compared to Mistral Large 25.12's 28.0%, while Qwen 3.5 397B scores 10.6 on AA Agentic Index compared to Mistral Large 25.12's 2.4.
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 3.5 397B costs $0.55/1M input and $3.5/1M 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 3.5 397B's 45 tok/s, and the time to first token is 380 ms for Mistral Large 25.12 versus 600 ms for Qwen 3.5 397B. 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 3.5 397B is the stronger choice.
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Mistral Large 25.12 vs Qwen 3.5 397B — FAQ
Which is better, Mistral Large 25.12 or Qwen 3.5 397B?
Qwen 3.5 397B wins on more benchmarks overall (11 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 3.5 397B for coding?
Qwen 3.5 397B is better for coding, scoring 76.4% 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 3.5 397B?
Yes, Mistral Large 25.12 is cheaper. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens. Qwen 3.5 397B costs $0.55/1M input and $3.5/1M output tokens.
Which is faster, Mistral Large 25.12 or Qwen 3.5 397B?
Mistral Large 25.12 is faster, generating output at 70 tok/s compared to 45 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Mistral Large 25.12 vs Qwen 3.5 397B 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.