Compare/Qwen3 30B A3B (Reasoning) vs Kimi K2

Qwen3 30B A3B (Reasoning)vsKimi K2

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

Alibaba

Qwen3 30B A3B (Reasoning)

Input
$0.2/M
Output
$2.4/M
Speed
69 tok/s
TTFT
1.04s
Kimi

Kimi K2

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

Winner by Category

Cheaper
Qwen3 30B A3B (Reasoning)
Faster (tok/s)
Qwen3 30B A3B (Reasoning)
Lower Latency
Kimi K2
Benchmarks (2-9)
Kimi K2

Pricing Comparison

MetricQwen3 30B A3B (Reasoning)Kimi K2
Input ($/M tokens)$0.2$0.57
Output ($/M tokens)$2.4$2.4
Cost for 1M input + 100K output tokens:
Qwen3 30B A3B (Reasoning)$0.44
Kimi K2$0.81

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3 30B A3B (Reasoning)
69 tok/s
Kimi K2
47 tok/s
Time to First Token (seconds) — lower is better
Qwen3 30B A3B (Reasoning)
1.04s
Kimi K2
0.86s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
15.326.3
Coding Index
11.022.1
Math Index
72.357.0
GPQA Diamond
61.6%76.6%
MMLU-Pro
77.7%82.4%
LiveCodeBench
50.6%55.6%
AIME 2025
72.3%57.0%
MATH-500
95.9%97.1%
Humanity's Last Exam
6.6%7.0%
SciCode
28.5%34.5%
IFBench
41.5%41.5%
TerminalBench
2.3%15.9%
Qwen3 30B A3B (Reasoning)2 wins
9 winsKimi K2

Frequently Asked Questions

Which is cheaper, Qwen3 30B A3B (Reasoning) or Kimi K2?

Qwen3 30B A3B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.75/M tokens vs $1.00/M for Kimi K2.

Which model performs better on benchmarks?

Kimi K2 wins 9 out of 12 benchmarks compared to 2 for Qwen3 30B A3B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3 30B A3B (Reasoning) generates tokens faster at 69 tok/s vs 47 tok/s. However, Kimi K2 has lower time-to-first-token (0.86s vs 1.04s).

When should I use Qwen3 30B A3B (Reasoning) vs Kimi K2?

Choose based on your priorities: Qwen3 30B A3B (Reasoning) for lower cost, Kimi K2 for stronger benchmark performance, and Qwen3 30B A3B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.