Compare/Qwen3.5 27B (Reasoning) vs Kimi K2

Qwen3.5 27B (Reasoning)vsKimi K2

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

Alibaba

Qwen3.5 27B (Reasoning)

Input
$0.3/M
Output
$2.4/M
Speed
90 tok/s
TTFT
1.31s
Kimi

Kimi K2

Input
$0.57/M
Output
$2.4/M
Speed
47 tok/s
TTFT
0.86s

Winner by Category

Cheaper
Qwen3.5 27B (Reasoning)
Faster (tok/s)
Qwen3.5 27B (Reasoning)
Lower Latency
Kimi K2
Benchmarks (7-5)
Qwen3.5 27B (Reasoning)

Pricing Comparison

MetricQwen3.5 27B (Reasoning)Kimi K2
Input ($/M tokens)$0.3$0.57
Output ($/M tokens)$2.4$2.4
Cost for 1M input + 100K output tokens:
Qwen3.5 27B (Reasoning)$0.54
Kimi K2$0.81

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.5 27B (Reasoning)
90 tok/s
Kimi K2
47 tok/s
Time to First Token (seconds) — lower is better
Qwen3.5 27B (Reasoning)
1.31s
Kimi K2
0.86s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
42.126.3
Coding Index
34.922.1
Math Index
57.0
GPQA Diamond
85.8%76.6%
MMLU-Pro
82.4%
LiveCodeBench
55.6%
AIME 2025
57.0%
MATH-500
97.1%
Humanity's Last Exam
22.2%7.0%
SciCode
39.5%34.5%
IFBench
75.6%41.5%
TerminalBench
32.6%15.9%
Qwen3.5 27B (Reasoning)7 wins
5 winsKimi K2

Frequently Asked Questions

Which is cheaper, Qwen3.5 27B (Reasoning) or Kimi K2?

Qwen3.5 27B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.82/M tokens vs $1.00/M for Kimi K2.

Which model performs better on benchmarks?

Qwen3.5 27B (Reasoning) wins 7 out of 12 benchmarks compared to 5 for Kimi K2. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3.5 27B (Reasoning) generates tokens faster at 90 tok/s vs 47 tok/s. However, Kimi K2 has lower time-to-first-token (0.86s vs 1.31s).

When should I use Qwen3.5 27B (Reasoning) vs Kimi K2?

Choose based on your priorities: Qwen3.5 27B (Reasoning) for lower cost, Qwen3.5 27B (Reasoning) for stronger benchmark performance, and Qwen3.5 27B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.