Compare/Qwen3 14B (Reasoning) vs Kimi K2.6

Qwen3 14B (Reasoning)vsKimi K2.6

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

Alibaba

Qwen3 14B (Reasoning)

Input
$0.35/M
Output
$4.2/M
Speed
62 tok/s
TTFT
1.10s
Kimi

Kimi K2.6

Input
$0.95/M
Output
$4/M
Speed
38 tok/s
TTFT
1.25s

Winner by Category

Cheaper
Qwen3 14B (Reasoning)
Faster (tok/s)
Qwen3 14B (Reasoning)
Lower Latency
Qwen3 14B (Reasoning)
Benchmarks (5-7)
Kimi K2.6

Pricing Comparison

MetricQwen3 14B (Reasoning)Kimi K2.6
Input ($/M tokens)$0.35$0.95
Output ($/M tokens)$4.2$4
Cost for 1M input + 100K output tokens:
Qwen3 14B (Reasoning)$0.77
Kimi K2.6$1.35

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3 14B (Reasoning)
62 tok/s
Kimi K2.6
38 tok/s
Time to First Token (seconds) — lower is better
Qwen3 14B (Reasoning)
1.10s
Kimi K2.6
1.25s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
10.444.2
Coding Index
13.861.8
Math Index
55.7
GPQA Diamond
60.4%91.1%
MMLU-Pro
77.4%
LiveCodeBench
52.3%
AIME 2025
55.7%
MATH-500
96.1%
Humanity's Last Exam
4.3%35.9%
SciCode
31.6%53.5%
IFBench
40.5%76.0%
TerminalBench
3.8%43.9%
Qwen3 14B (Reasoning)5 wins
7 winsKimi K2.6

Frequently Asked Questions

Which is cheaper, Qwen3 14B (Reasoning) or Kimi K2.6?

Qwen3 14B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.31/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 5 for Qwen3 14B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3 14B (Reasoning) generates tokens faster at 62 tok/s vs 38 tok/s. Qwen3 14B (Reasoning) also has lower time-to-first-token (1.10s vs 1.25s).

When should I use Qwen3 14B (Reasoning) vs Kimi K2.6?

Choose based on your priorities: Qwen3 14B (Reasoning) for lower cost, Kimi K2.6 for stronger benchmark performance, and Qwen3 14B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.