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Alibaba Cloud (Qwen)

Qwen2.5-32B

VS
Mistral AI

Mistral Medium 3.5

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Qwen2.5-32B is the premium intelligence choice, scoring 2.0% higher on coding benchmarks. However, Mistral Medium 3.5 compensates by delivering 1.4x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Mistral Medium 3.5 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Qwen2.5-32B fully justifies the cost.

Model Specs

Qwen2.5-32B

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
2%
Reasoning (gpqa-diamond)Winner (+)
49.5%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed
128 tps
Context Window
131.07k tokens
Model Specs

Mistral Medium 3.5

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
N/A

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed1.4x faster
180 tps
Context WindowLarger
262.14k tokens

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Mistral Medium 3.5 is faster than Qwen2.5-32B. Mistral Medium 3.5 generates 180 tokens per second (tps) compared to Qwen2.5-32B which generates 128 tokens per second.

Qwen2.5-32B is better for coding tasks. It scores 2% on coding evaluations (swe-bench-pro) compared to Mistral Medium 3.5 which scores N/A.

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