whichllmmodel
Back to Dashboard
Alibaba Cloud (Qwen)

Qwen3.7-Max

VS
Moonshot AI (Kimi)

kimi-k2.6

✍️ 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-k2.6 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-k2.6 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 (+1.9%)
92.4%

Cost & Performance

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

kimi-k2.6

Benchmarks & Scores

Coding (swe-bench-pro)
58.6%
Reasoning (gpqa-diamond)
90.5%

Cost & Performance

Cost (per 1M tokens)2.2x cheaper
$1.71Input: $0.95 | Output: $4.00
Speed
193 tps
Context Window
262.14k tokens
Read our data collection methodology

Frequently Asked Questions

kimi-k2.6 is cheaper than Qwen3.7-Max. kimi-k2.6 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 faster than kimi-k2.6. Qwen3.7-Max generates 205 tokens per second (tps) compared to kimi-k2.6 which generates 193 tokens per second.

Qwen3.7-Max is better for coding tasks. It scores 60.6% on coding evaluations (swe-bench-pro) compared to kimi-k2.6 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