Mistral Large 25.12 vs Qwen 2.5 72B
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
Mistral Large 25.12 by Mistral wins on 7 of 14 benchmarks against Qwen 2.5 72B by Qwen, 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 2.5 72B's 1230, while Mistral Large 25.12 scores 73.0% on MMLU-Pro compared to Qwen 2.5 72B's 72.0%.
Coding: In coding, Mistral Large 25.12 scores 82.0% on HumanEval+ compared to Qwen 2.5 72B's 80.0%, while Mistral Large 25.12 scores 42.0% on SWE-bench Verified compared to Qwen 2.5 72B's 28.0%, while Qwen 2.5 72B scores 55.5% on LiveCodeBench compared to Mistral Large 25.12's 44.0%.
Math: In math, Qwen 2.5 72B scores 83.1% on MATH compared to Mistral Large 25.12's 78.0%, while both score 91.0% on GSM8K.
Reasoning: In reasoning, Mistral Large 25.12 scores 52.0% on GPQA Diamond compared to Qwen 2.5 72B's 49.1%, while Mistral Large 25.12 scores 28.0% on ARC-AGI compared to Qwen 2.5 72B's 12.0%.
Context: In context, Mistral Large 25.12 scores 262K on Context Length compared to Qwen 2.5 72B's 33K.
Pricing Comparison
Mistral Large 25.12 costs $0.50/1M input tokens and $1.5/1M output tokens, while Qwen 2.5 72B costs $0.36/1M input and $0.40/1M output. Qwen 2.5 72B is the more affordable option for API usage.
Speed Comparison
Mistral Large 25.12 generates output at 70 tok/s compared to Qwen 2.5 72B's 80 tok/s, and the time to first token is 380 ms for Mistral Large 25.12 versus 350 ms for Qwen 2.5 72B. Qwen 2.5 72B delivers faster throughput.
Verdict
For developers prioritizing coding and general intelligence, Mistral Large 25.12 has the edge. For those who value math and affordability and speed, Qwen 2.5 72B is the stronger choice.
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Mistral Large 25.12 vs Qwen 2.5 72B — FAQ
Which is better, Mistral Large 25.12 or Qwen 2.5 72B?
Mistral Large 25.12 wins on more benchmarks overall (7 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 2.5 72B for coding?
Mistral Large 25.12 is better for coding, scoring 42.0% on SWE-bench Verified compared to 28.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is Mistral Large 25.12 cheaper than Qwen 2.5 72B?
Yes, Qwen 2.5 72B is cheaper. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens. Qwen 2.5 72B costs $0.36/1M input and $0.40/1M output tokens.
Which is faster, Mistral Large 25.12 or Qwen 2.5 72B?
Qwen 2.5 72B is faster, generating output at 80 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 2.5 72B 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.