whichllmmodel
Back to Dashboard
Alibaba Cloud (Qwen)

Qwen2.5-32B

VS
Mistral AI

Mistral 7B v0.3

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

Decision Recommendation

👑 Editorial Verdict: Qwen2.5-32B strictly dominates Mistral 7B v0.3 across all major dimensions. It is not only more cost-effective (blended cost of $0.00 vs $0.00 per 1M tokens) but also delivers superior coding accuracy (2% vs 0% on SWE-bench) and faster generation speeds (128 tps vs 25 tps). Unless you have platform lock-in, Qwen2.5-32B is the clear and optimal choice for all development workloads.

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
Speed5.1x faster
128 tps
Context WindowLarger
131.07k tokens
Model Specs

Mistral 7B v0.3

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
Speed
25 tps
Context Window
32k tokens

Frequently Asked Questions

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

Qwen2.5-32B is faster than Mistral 7B v0.3. Qwen2.5-32B generates 128 tokens per second (tps) compared to Mistral 7B v0.3 which generates 25 tokens per second.

Qwen2.5-32B is better for coding tasks. It scores 2% on coding evaluations (swe-bench-pro) compared to Mistral 7B v0.3 which scores N/A.

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard