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Alibaba Cloud (Qwen)

Qwen2.5-32B

VS
DeepSeek

DeepSeek V4 Flash

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, DeepSeek V4 Flash is the premium intelligence choice, scoring 47.1% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Qwen2.5-32B is 1.0x cheaper to run and delivers 1.2x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Qwen2.5-32B offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of DeepSeek V4 Flash fully justifies the cost.

Model Specs

Qwen2.5-32B

Benchmarks & Scores

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

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed1.2x faster
128 tps
Context Window
131.07k tokens
Model Specs

DeepSeek V4 Flash

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+47.1%)
49.1%
Reasoning (gpqa-diamond)Winner (+30.5%)
80%

Cost & Performance

Cost (per 1M tokens)
$0.17Input: $0.14 | Output: $0.28
Speed
109.1 tps
Context WindowLarger
1M 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 DeepSeek V4 Flash. Qwen2.5-32B generates 128 tokens per second (tps) compared to DeepSeek V4 Flash which generates 109.1 tokens per second.

DeepSeek V4 Flash is better for coding tasks. It scores 49.1% on coding evaluations (swe-bench-pro) compared to Qwen2.5-32B which scores 2%.

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