Compare/GLM-4.6 (Non-reasoning) vs Kimi K2 0905

GLM-4.6 (Non-reasoning)vsKimi K2 0905

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

Z AI

GLM-4.6 (Non-reasoning)

Input
$0.6/M
Output
$2.2/M
Speed
86 tok/s
TTFT
1.68s
Kimi

Kimi K2 0905

Input
$0.8/M
Output
$2.25/M
Speed
63 tok/s
TTFT
0.78s

Winner by Category

Cheaper
GLM-4.6 (Non-reasoning)
Faster (tok/s)
GLM-4.6 (Non-reasoning)
Lower Latency
Kimi K2 0905
Benchmarks (3-8)
Kimi K2 0905

Pricing Comparison

MetricGLM-4.6 (Non-reasoning)Kimi K2 0905
Input ($/M tokens)$0.6$0.8
Output ($/M tokens)$2.2$2.25
Cost for 1M input + 100K output tokens:
GLM-4.6 (Non-reasoning)$0.82
Kimi K2 0905$1.03

Speed Comparison

Output Speed (tokens/s) — higher is better
GLM-4.6 (Non-reasoning)
86 tok/s
Kimi K2 0905
63 tok/s
Time to First Token (seconds) — lower is better
GLM-4.6 (Non-reasoning)
1.68s
Kimi K2 0905
0.78s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
30.230.9
Coding Index
30.225.9
Math Index
44.357.3
GPQA Diamond
63.2%76.7%
MMLU-Pro
78.4%81.9%
LiveCodeBench
56.1%61.0%
AIME 2025
44.3%57.3%
MATH-500
Humanity's Last Exam
5.2%6.3%
SciCode
33.1%30.7%
IFBench
36.7%41.7%
TerminalBench
28.8%23.5%
GLM-4.6 (Non-reasoning)3 wins
8 winsKimi K2 0905

Frequently Asked Questions

Which is cheaper, GLM-4.6 (Non-reasoning) or Kimi K2 0905?

GLM-4.6 (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.00/M tokens vs $1.14/M for Kimi K2 0905.

Which model performs better on benchmarks?

Kimi K2 0905 wins 8 out of 12 benchmarks compared to 3 for GLM-4.6 (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GLM-4.6 (Non-reasoning) generates tokens faster at 86 tok/s vs 63 tok/s. However, Kimi K2 0905 has lower time-to-first-token (0.78s vs 1.68s).

When should I use GLM-4.6 (Non-reasoning) vs Kimi K2 0905?

Choose based on your priorities: GLM-4.6 (Non-reasoning) for lower cost, Kimi K2 0905 for stronger benchmark performance, and GLM-4.6 (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.