Compare/Kimi K2.5 (Non-reasoning) vs Qwen3.6 Plus

Kimi K2.5 (Non-reasoning)vsQwen3.6 Plus

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

Kimi

Kimi K2.5 (Non-reasoning)

Input
$0.6/M
Output
$3/M
Speed
34 tok/s
TTFT
1.32s
Alibaba

Qwen3.6 Plus

Input
$0.5/M
Output
$3/M
Speed
52 tok/s
TTFT
1.80s

Winner by Category

Cheaper
Qwen3.6 Plus
Faster (tok/s)
Qwen3.6 Plus
Lower Latency
Kimi K2.5 (Non-reasoning)
Benchmarks (0-7)
Qwen3.6 Plus

Pricing Comparison

MetricKimi K2.5 (Non-reasoning)Qwen3.6 Plus
Input ($/M tokens)$0.6$0.5
Output ($/M tokens)$3$3
Cost for 1M input + 100K output tokens:
Kimi K2.5 (Non-reasoning)$0.90
Qwen3.6 Plus$0.80

Speed Comparison

Output Speed (tokens/s) — higher is better
Kimi K2.5 (Non-reasoning)
34 tok/s
Qwen3.6 Plus
52 tok/s
Time to First Token (seconds) — lower is better
Kimi K2.5 (Non-reasoning)
1.32s
Qwen3.6 Plus
1.80s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
29.439.6
Coding Index
54.5
Math Index
GPQA Diamond
78.9%88.2%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
12.3%25.7%
SciCode
39.6%40.7%
IFBench
43.7%75.2%
TerminalBench
18.9%43.9%
Kimi K2.5 (Non-reasoning)0 wins
7 winsQwen3.6 Plus

Frequently Asked Questions

Which is cheaper, Kimi K2.5 (Non-reasoning) or Qwen3.6 Plus?

Qwen3.6 Plus is cheaper overall. Its blended price (3:1 input/output ratio) is $1.13/M tokens vs $1.20/M for Kimi K2.5 (Non-reasoning).

Which model performs better on benchmarks?

Qwen3.6 Plus wins 7 out of 12 benchmarks compared to 0 for Kimi K2.5 (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3.6 Plus generates tokens faster at 52 tok/s vs 34 tok/s. Kimi K2.5 (Non-reasoning) also has lower time-to-first-token (1.32s vs 1.80s).

When should I use Kimi K2.5 (Non-reasoning) vs Qwen3.6 Plus?

Choose based on your priorities: Qwen3.6 Plus for lower cost, Qwen3.6 Plus for stronger benchmark performance, and Qwen3.6 Plus for faster generation. For latency-sensitive apps, check the TTFT comparison above.