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Alibaba Cloud (Qwen)

Qwen3.7-Max

VS
DeepSeek

DeepSeek V4 Flash

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Qwen3.7-Max is the premium intelligence choice, scoring 11.5% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: DeepSeek V4 Flash is 21.4x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, DeepSeek V4 Flash offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Qwen3.7-Max fully justifies the cost.

Model Specs

Qwen3.7-Max

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+11.5%)
60.6%
Reasoning (gpqa-diamond)Winner (+12.4%)
92.4%

Cost & Performance

Cost (per 1M tokens)
$3.75Input: $2.50 | Output: $7.50
Speed1.9x faster
205 tps
Context Window
1M tokens
Model Specs

DeepSeek V4 Flash

Benchmarks & Scores

Coding (swe-bench-pro)
49.1%
Reasoning (gpqa-diamond)
80%

Cost & Performance

Cost (per 1M tokens)21.4x cheaper
$0.17Input: $0.14 | Output: $0.28
Speed
109.1 tps
Context Window
1M tokens
Read our data collection methodology

Frequently Asked Questions

DeepSeek V4 Flash is cheaper than Qwen3.7-Max. DeepSeek V4 Flash has a blended cost of $0.17/1M tokens, which is about 21.4x cheaper than Qwen3.7-Max at $3.75/1M tokens.

Qwen3.7-Max is faster than DeepSeek V4 Flash. Qwen3.7-Max generates 205 tokens per second (tps) compared to DeepSeek V4 Flash which generates 109.1 tokens per second.

Qwen3.7-Max is better for coding tasks. It scores 60.6% on coding evaluations (swe-bench-pro) compared to DeepSeek V4 Flash which scores 49.1%.

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