Mistral Large 25.12 vs Qwen 3 32B
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
Mistral Large 25.12 by Mistral wins on 13 of 17 benchmarks against Qwen 3 32B by Qwen, which leads on 4. 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 32B's 1250, while Mistral Large 25.12 scores 73.0% on MMLU-Pro compared to Qwen 3 32B's 67.0%, while Mistral Large 25.12 scores 9.7 on AA Intelligence Index compared to Qwen 3 32B's 7.2.
Coding: In coding, Mistral Large 25.12 scores 82.0% on HumanEval+ compared to Qwen 3 32B's 79.0%, while Mistral Large 25.12 scores 42.0% on SWE-bench Verified compared to Qwen 3 32B's 30.0%, while Mistral Large 25.12 scores 44.0% on LiveCodeBench compared to Qwen 3 32B's 36.0%, while Mistral Large 25.12 scores 20.1 on AA Coding Index compared to Qwen 3 32B's 15.3.
Math: In math, Mistral Large 25.12 scores 78.0% on MATH compared to Qwen 3 32B's 72.0%, while Mistral Large 25.12 scores 91.0% on GSM8K compared to Qwen 3 32B's 89.0%.
Reasoning: In reasoning, Mistral Large 25.12 scores 52.0% on GPQA Diamond compared to Qwen 3 32B's 42.0%, while Mistral Large 25.12 scores 28.0% on ARC-AGI compared to Qwen 3 32B's 20.0%, while Mistral Large 25.12 scores 2.4 on AA Agentic Index compared to Qwen 3 32B's 0.9.
Context: In context, Mistral Large 25.12 scores 262K on Context Length compared to Qwen 3 32B's 131K.
Pricing Comparison
Mistral Large 25.12 costs $0.50/1M input tokens and $1.5/1M output tokens, while Qwen 3 32B costs $0.08/1M input and $0.28/1M output. Qwen 3 32B is the more affordable option for API usage.
Speed Comparison
Mistral Large 25.12 generates output at 70 tok/s compared to Qwen 3 32B's 120 tok/s, and the time to first token is 380 ms for Mistral Large 25.12 versus 200 ms for Qwen 3 32B. Qwen 3 32B delivers faster throughput.
Verdict
For developers prioritizing coding and general intelligence and math, Mistral Large 25.12 has the edge. For those who value affordability and speed, Qwen 3 32B is the stronger choice.
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Mistral Large 25.12 vs Qwen 3 32B — FAQ
Which is better, Mistral Large 25.12 or Qwen 3 32B?
Mistral Large 25.12 wins on more benchmarks overall (13 vs 4). 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 32B for coding?
Mistral Large 25.12 is better for coding, scoring 42.0% on SWE-bench Verified compared to 30.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is Mistral Large 25.12 cheaper than Qwen 3 32B?
Yes, Qwen 3 32B is cheaper. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens. Qwen 3 32B costs $0.08/1M input and $0.28/1M output tokens.
Which is faster, Mistral Large 25.12 or Qwen 3 32B?
Qwen 3 32B is faster, generating output at 120 tok/s compared to 70 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Mistral Large 25.12 vs Qwen 3 32B comparison cover?
This comparison covers 17 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.