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Alibaba Cloud (Qwen)

Qwen3.7-Max

VS
Google

Gemini 2.5 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 60.6% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Gemini 2.5 Flash is 4.4x cheaper to run and delivers 1.1x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemini 2.5 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 (+)
60.6%
Reasoning (gpqa-diamond)Winner (+24.1%)
92.4%

Cost & Performance

Cost (per 1M tokens)
$3.75Input: $2.50 | Output: $7.50
Speed
205 tps
Context Window
1M tokens
Model Specs

Gemini 2.5 Flash

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
68.3%

Cost & Performance

Cost (per 1M tokens)4.4x cheaper
$0.85Input: $0.30 | Output: $2.50
Speed1.1x faster
221 tps
Context Window
1M tokens
Read our data collection methodology

Frequently Asked Questions

Gemini 2.5 Flash is cheaper than Qwen3.7-Max. Gemini 2.5 Flash has a blended cost of $0.85/1M tokens, which is about 4.4x cheaper than Qwen3.7-Max at $3.75/1M tokens.

Gemini 2.5 Flash is faster than Qwen3.7-Max. Gemini 2.5 Flash generates 221 tokens per second (tps) compared to Qwen3.7-Max which generates 205 tokens per second.

Qwen3.7-Max is better for coding tasks. It scores 60.6% on coding evaluations (swe-bench-pro) compared to Gemini 2.5 Flash which scores N/A.

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