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

Kimi K2vsQwen3 30B A3B (Reasoning)

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

Kimi

Kimi K2

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

Qwen3 30B A3B (Reasoning)

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

Winner by Category

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

Pricing Comparison

MetricKimi K2Qwen3 30B A3B (Reasoning)
Input ($/M tokens)$0.57$0.2
Output ($/M tokens)$2.4$2.4
Cost for 1M input + 100K output tokens:
Kimi K2$0.81
Qwen3 30B A3B (Reasoning)$0.44

Speed Comparison

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

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
26.315.3
Coding Index
22.111.0
Math Index
57.072.3
GPQA Diamond
76.6%61.6%
MMLU-Pro
82.4%77.7%
LiveCodeBench
55.6%50.6%
AIME 2025
57.0%72.3%
MATH-500
97.1%95.9%
Humanity's Last Exam
7.0%6.6%
SciCode
34.5%28.5%
IFBench
41.5%41.5%
TerminalBench
15.9%2.3%
Kimi K29 wins
2 winsQwen3 30B A3B (Reasoning)

Frequently Asked Questions

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

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. Kimi K2 also has lower time-to-first-token (0.86s vs 1.04s).

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

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.