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Alibaba Cloud (Qwen)

Qwen3.6-35B-A3B

VS
Moonshot AI (Kimi)

kimi-k2.6

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, kimi-k2.6 is the premium intelligence choice, scoring 9.1% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Qwen3.6-35B-A3B is 3.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Qwen3.6-35B-A3B offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of kimi-k2.6 fully justifies the cost.

Model Specs

Qwen3.6-35B-A3B

Benchmarks & Scores

Coding (swe-bench-pro)
49.5%
Reasoning (gpqa-diamond)
86%

Cost & Performance

Cost (per 1M tokens)3.0x cheaper
$0.56Input: $0.25 | Output: $1.50
Speed
128 tps
Context WindowLarger
1M tokens
Model Specs

kimi-k2.6

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+9.1%)
58.6%
Reasoning (gpqa-diamond)Winner (+4.5%)
90.5%

Cost & Performance

Cost (per 1M tokens)
$1.71Input: $0.95 | Output: $4.00
Speed1.5x faster
193 tps
Context Window
262.14k tokens
Read our data collection methodology

Frequently Asked Questions

Qwen3.6-35B-A3B is cheaper than kimi-k2.6. Qwen3.6-35B-A3B has a blended cost of $0.56/1M tokens, which is about 3.0x cheaper than kimi-k2.6 at $1.71/1M tokens.

kimi-k2.6 is faster than Qwen3.6-35B-A3B. kimi-k2.6 generates 193 tokens per second (tps) compared to Qwen3.6-35B-A3B which generates 128 tokens per second.

kimi-k2.6 is better for coding tasks. It scores 58.6% on coding evaluations (swe-bench-pro) compared to Qwen3.6-35B-A3B which scores 49.5%.

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