whichllmmodel
Back to Dashboard
Alibaba Cloud (Qwen)

Qwen3.7-Max

VS
Google

Gemini 2.5 Pro

✍️ 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 Pro is 1.1x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemini 2.5 Pro 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 (+8.0%)
92.4%

Cost & Performance

Cost (per 1M tokens)
$3.75Input: $2.50 | Output: $7.50
Speed1.8x faster
205 tps
Context Window
1M tokens
Model Specs

Gemini 2.5 Pro

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
84.4%

Cost & Performance

Cost (per 1M tokens)1.1x cheaper
$3.44Input: $1.25 | Output: $10.00
Speed
117 tps
Context Window
1M tokens
Read our data collection methodology

Frequently Asked Questions

Gemini 2.5 Pro is cheaper than Qwen3.7-Max. Gemini 2.5 Pro has a blended cost of $3.44/1M tokens, which is about 1.1x cheaper than Qwen3.7-Max at $3.75/1M tokens.

Qwen3.7-Max is faster than Gemini 2.5 Pro. Qwen3.7-Max generates 205 tokens per second (tps) compared to Gemini 2.5 Pro which generates 117 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 Pro which scores N/A.

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard