whichllmmodel
Back to Dashboard
Alibaba Cloud (Qwen)

Qwen3.7-Max

VS
Moonshot AI (Kimi)

Kimi K2.7 Code

✍️ 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 2.0% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Kimi K2.7 Code is 2.2x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Kimi K2.7 Code 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 (+2.0%)
60.6%
Reasoning (gpqa-diamond)Winner (+)
92.4%

Cost & Performance

Cost (per 1M tokens)
$3.75Input: $2.50 | Output: $7.50
Context WindowLarger
1M tokens
Model Specs

Kimi K2.7 Code

Benchmarks & Scores

Coding (swe-bench-pro)
58.6%
Reasoning (gpqa-diamond)
N/A

Cost & Performance

Cost (per 1M tokens)2.2x cheaper
$1.71Input: $0.95 | Output: $4.00
Context Window
262.14k tokens

Frequently Asked Questions

Kimi K2.7 Code is cheaper than Qwen3.7-Max. Kimi K2.7 Code has a blended cost of $1.71/1M tokens, which is about 2.2x cheaper than Qwen3.7-Max at $3.75/1M tokens.

Qwen3.7-Max is better for coding tasks. It scores 60.6% on coding evaluations (swe-bench-pro) compared to Kimi K2.7 Code which scores 58.6%.

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