Compare/Kimi K2.6 vs Qwen3.5 397B A17B (Reasoning)

Kimi K2.6vsQwen3.5 397B A17B (Reasoning)

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

Kimi

Kimi K2.6

Input
$0.95/M
Output
$4/M
Speed
135 tok/s
TTFT
0.78s
Alibaba

Qwen3.5 397B A17B (Reasoning)

Input
$0.6/M
Output
$3.6/M
Speed
51 tok/s
TTFT
1.58s

Winner by Category

Cheaper
Qwen3.5 397B A17B (Reasoning)
Faster (tok/s)
Kimi K2.6
Lower Latency
Kimi K2.6
Benchmarks (6-1)
Kimi K2.6

Pricing Comparison

MetricKimi K2.6Qwen3.5 397B A17B (Reasoning)
Input ($/M tokens)$0.95$0.6
Output ($/M tokens)$4$3.6
Cost for 1M input + 100K output tokens:
Kimi K2.6$1.35
Qwen3.5 397B A17B (Reasoning)$0.96

Speed Comparison

Output Speed (tokens/s) — higher is better
Kimi K2.6
135 tok/s
Qwen3.5 397B A17B (Reasoning)
51 tok/s
Time to First Token (seconds) — lower is better
Kimi K2.6
0.78s
Qwen3.5 397B A17B (Reasoning)
1.58s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
53.945.0
Coding Index
47.141.3
Math Index
GPQA Diamond
91.1%89.3%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
35.9%27.3%
SciCode
53.5%42.0%
IFBench
76.0%78.8%
TerminalBench
43.9%40.9%
Kimi K2.66 wins
1 winsQwen3.5 397B A17B (Reasoning)

Frequently Asked Questions

Which is cheaper, Kimi K2.6 or Qwen3.5 397B A17B (Reasoning)?

Qwen3.5 397B A17B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.35/M tokens vs $1.71/M for Kimi K2.6.

Which model performs better on benchmarks?

Kimi K2.6 wins 6 out of 12 benchmarks compared to 1 for Qwen3.5 397B A17B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Kimi K2.6 generates tokens faster at 135 tok/s vs 51 tok/s. Kimi K2.6 also has lower time-to-first-token (0.78s vs 1.58s).

When should I use Kimi K2.6 vs Qwen3.5 397B A17B (Reasoning)?

Choose based on your priorities: Qwen3.5 397B A17B (Reasoning) for lower cost, Kimi K2.6 for stronger benchmark performance, and Kimi K2.6 for faster generation. For latency-sensitive apps, check the TTFT comparison above.