whichllmmodel
Back to Dashboard
Alibaba Cloud (Qwen)

Qwen3.6-Flash

VS
Moonshot AI (Kimi)

kimi-k2.5

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, kimi-k2.5 is the premium intelligence choice, scoring 50.7% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Qwen3.6-Flash is 2.1x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Qwen3.6-Flash offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of kimi-k2.5 fully justifies the cost.

Model Specs

Qwen3.6-Flash

Benchmarks & Scores

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

Cost & Performance

Cost (per 1M tokens)2.1x cheaper
$0.56Input: $0.25 | Output: $1.50
Speed
128 tps
Context WindowLarger
1M tokens
Model Specs

kimi-k2.5

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
50.7%
Reasoning (gpqa-diamond)Winner (+2.1%)
87.6%

Cost & Performance

Cost (per 1M tokens)
$1.20Input: $0.60 | Output: $3.00
Speed1.5x faster
193 tps
Context Window
262.14k tokens
Read our data collection methodology

Frequently Asked Questions

Qwen3.6-Flash is cheaper than kimi-k2.5. Qwen3.6-Flash has a blended cost of $0.56/1M tokens, which is about 2.1x cheaper than kimi-k2.5 at $1.20/1M tokens.

kimi-k2.5 is faster than Qwen3.6-Flash. kimi-k2.5 generates 193 tokens per second (tps) compared to Qwen3.6-Flash which generates 128 tokens per second.

kimi-k2.5 is better for coding tasks. It scores 50.7% on coding evaluations (swe-bench-pro) compared to Qwen3.6-Flash 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