Compare/Qwen3.6 27B (Non-reasoning) vs Kimi K2.6

Qwen3.6 27B (Non-reasoning)vsKimi K2.6

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

Alibaba

Qwen3.6 27B (Non-reasoning)

Input
$0.6/M
Output
$3.6/M
Speed
62 tok/s
TTFT
1.70s
Kimi

Kimi K2.6

Input
$0.95/M
Output
$4/M
Speed
126 tok/s
TTFT
0.70s

Winner by Category

Cheaper
Qwen3.6 27B (Non-reasoning)
Faster (tok/s)
Kimi K2.6
Lower Latency
Kimi K2.6
Benchmarks (0-7)
Kimi K2.6

Pricing Comparison

MetricQwen3.6 27B (Non-reasoning)Kimi K2.6
Input ($/M tokens)$0.6$0.95
Output ($/M tokens)$3.6$4
Cost for 1M input + 100K output tokens:
Qwen3.6 27B (Non-reasoning)$0.96
Kimi K2.6$1.35

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.6 27B (Non-reasoning)
62 tok/s
Kimi K2.6
126 tok/s
Time to First Token (seconds) — lower is better
Qwen3.6 27B (Non-reasoning)
1.70s
Kimi K2.6
0.70s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
37.153.9
Coding Index
26.647.1
Math Index
GPQA Diamond
82.9%91.1%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
13.6%35.9%
SciCode
37.3%53.5%
IFBench
45.7%76.0%
TerminalBench
21.2%43.9%
Qwen3.6 27B (Non-reasoning)0 wins
7 winsKimi K2.6

Frequently Asked Questions

Which is cheaper, Qwen3.6 27B (Non-reasoning) or Kimi K2.6?

Qwen3.6 27B (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.35/M tokens vs $1.71/M for Kimi K2.6.

Which model performs better on benchmarks?

Kimi K2.6 wins 7 out of 12 benchmarks compared to 0 for Qwen3.6 27B (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Kimi K2.6 generates tokens faster at 126 tok/s vs 62 tok/s. However, Kimi K2.6 has lower time-to-first-token (0.70s vs 1.70s).

When should I use Qwen3.6 27B (Non-reasoning) vs Kimi K2.6?

Choose based on your priorities: Qwen3.6 27B (Non-reasoning) for lower cost, Kimi K2.6 for stronger benchmark performance, and Kimi K2.6 for faster generation. For latency-sensitive apps, check the TTFT comparison above.