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Alibaba Cloud (Qwen)

Qwen3.6-Flash

VS
OpenAI

GPT-5.4 mini

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GPT-5.4 mini is the premium intelligence choice, scoring 54.4% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Qwen3.6-Flash is 3.0x cheaper to run. 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 GPT-5.4 mini 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)3.0x cheaper
$0.56Input: $0.25 | Output: $1.50
Speed
128 tps
Context WindowLarger
1M tokens
Model Specs

GPT-5.4 mini

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
54.4%
Reasoning (gpqa-diamond)Winner (+2.0%)
87.5%

Cost & Performance

Cost (per 1M tokens)
$1.69Input: $0.75 | Output: $4.50
Speed1.6x faster
201 tps
Context Window
400k tokens
Read our data collection methodology

Frequently Asked Questions

Qwen3.6-Flash is cheaper than GPT-5.4 mini. Qwen3.6-Flash has a blended cost of $0.56/1M tokens, which is about 3.0x cheaper than GPT-5.4 mini at $1.69/1M tokens.

GPT-5.4 mini is faster than Qwen3.6-Flash. GPT-5.4 mini generates 201 tokens per second (tps) compared to Qwen3.6-Flash which generates 128 tokens per second.

GPT-5.4 mini is better for coding tasks. It scores 54.4% on coding evaluations (swe-bench-pro) compared to Qwen3.6-Flash which scores N/A.

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