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

Kimi K2.6vsQwen3 14B (Reasoning)

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

Kimi

Kimi K2.6

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

Qwen3 14B (Reasoning)

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

Winner by Category

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

Pricing Comparison

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

Speed Comparison

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

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
44.210.4
Coding Index
61.813.8
Math Index
55.7
GPQA Diamond
91.1%60.4%
MMLU-Pro
77.4%
LiveCodeBench
52.3%
AIME 2025
55.7%
MATH-500
96.1%
Humanity's Last Exam
35.9%4.3%
SciCode
53.5%31.6%
IFBench
76.0%40.5%
TerminalBench
43.9%3.8%
Kimi K2.67 wins
5 winsQwen3 14B (Reasoning)

Frequently Asked Questions

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

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. However, Qwen3 14B (Reasoning) has lower time-to-first-token (1.10s vs 1.25s).

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

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.