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Alibaba Cloud (Qwen)

Qwen3.6-Flash

VS
Google

Gemini 2.5 Flash-Lite

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Qwen3.6-Flash is the premium intelligence choice, scoring 0.0% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Gemini 2.5 Flash-Lite is 3.2x cheaper to run and delivers 2.2x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemini 2.5 Flash-Lite offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Qwen3.6-Flash fully justifies the cost.

Model Specs

Qwen3.6-Flash

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)Winner (+23.0%)
85.5%

Cost & Performance

Cost (per 1M tokens)
$0.56Input: $0.25 | Output: $1.50
Speed
128 tps
Context Window
1M tokens
Model Specs

Gemini 2.5 Flash-Lite

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
62.5%

Cost & Performance

Cost (per 1M tokens)3.2x cheaper
$0.17Input: $0.10 | Output: $0.40
Speed2.2x faster
280 tps
Context Window
1M tokens
Read our data collection methodology

Frequently Asked Questions

Gemini 2.5 Flash-Lite is cheaper than Qwen3.6-Flash. Gemini 2.5 Flash-Lite has a blended cost of $0.17/1M tokens, which is about 3.2x cheaper than Qwen3.6-Flash at $0.56/1M tokens.

Gemini 2.5 Flash-Lite is faster than Qwen3.6-Flash. Gemini 2.5 Flash-Lite generates 280 tokens per second (tps) compared to Qwen3.6-Flash which generates 128 tokens per second.

Coding benchmark scores are not currently recorded for these models.

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