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Alibaba Cloud (Qwen)

Qwen3.6-Flash

VS
DeepSeek

DeepSeek V4 Pro

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, DeepSeek V4 Pro is the premium intelligence choice, scoring 52.1% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Qwen3.6-Flash is 3.9x cheaper to run and delivers 3.2x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Qwen3.6-Flash offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of DeepSeek V4 Pro fully justifies the cost.

Model Specs

Qwen3.6-Flash

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
85.5%

Cost & Performance

Cost (per 1M tokens)3.9x cheaper
$0.56Input: $0.25 | Output: $1.50
Speed3.2x faster
128 tps
Context Window
1M tokens
Model Specs

DeepSeek V4 Pro

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
52.1%
Reasoning (gpqa-diamond)Winner (+2.5%)
88%

Cost & Performance

Cost (per 1M tokens)
$2.17Input: $1.74 | Output: $3.48
Speed
39.7 tps
Context Window
1M tokens
Read our data collection methodology

Frequently Asked Questions

Qwen3.6-Flash is cheaper than DeepSeek V4 Pro. Qwen3.6-Flash has a blended cost of $0.56/1M tokens, which is about 3.9x cheaper than DeepSeek V4 Pro at $2.17/1M tokens.

Qwen3.6-Flash is faster than DeepSeek V4 Pro. Qwen3.6-Flash generates 128 tokens per second (tps) compared to DeepSeek V4 Pro which generates 39.7 tokens per second.

DeepSeek V4 Pro is better for coding tasks. It scores 52.1% on coding evaluations (swe-bench-pro) compared to Qwen3.6-Flash which scores N/A.

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