Compare/GLM-4.6 (Non-reasoning) vs Qwen3 14B (Reasoning)

GLM-4.6 (Non-reasoning)vsQwen3 14B (Reasoning)

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
37 tok/s
TTFT
0.96s
Alibaba

Qwen3 14B (Reasoning)

Input
$0.235/M
Output
$2.22/M
Speed
64 tok/s
TTFT
1.19s

Winner by Category

Cheaper
Qwen3 14B (Reasoning)
Faster (tok/s)
Qwen3 14B (Reasoning)
Lower Latency
GLM-4.6 (Non-reasoning)
Benchmarks (8-4)
GLM-4.6 (Non-reasoning)

Pricing Comparison

MetricGLM-4.6 (Non-reasoning)Qwen3 14B (Reasoning)
Input ($/M tokens)$0.6$0.235
Output ($/M tokens)$2.2$2.22
Cost for 1M input + 100K output tokens:
GLM-4.6 (Non-reasoning)$0.82
Qwen3 14B (Reasoning)$0.46

Speed Comparison

Output Speed (tokens/s) — higher is better
GLM-4.6 (Non-reasoning)
37 tok/s
Qwen3 14B (Reasoning)
64 tok/s
Time to First Token (seconds) — lower is better
GLM-4.6 (Non-reasoning)
0.96s
Qwen3 14B (Reasoning)
1.19s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
30.216.2
Coding Index
30.213.1
Math Index
44.355.7
GPQA Diamond
63.2%60.4%
MMLU-Pro
78.4%77.4%
LiveCodeBench
56.1%52.3%
AIME 2025
44.3%55.7%
MATH-500
96.1%
Humanity's Last Exam
5.2%4.3%
SciCode
33.1%31.6%
IFBench
36.7%40.5%
TerminalBench
28.8%3.8%
GLM-4.6 (Non-reasoning)8 wins
4 winsQwen3 14B (Reasoning)

Frequently Asked Questions

Which is cheaper, GLM-4.6 (Non-reasoning) or Qwen3 14B (Reasoning)?

Qwen3 14B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.73/M tokens vs $1.00/M for GLM-4.6 (Non-reasoning).

Which model performs better on benchmarks?

GLM-4.6 (Non-reasoning) wins 8 out of 12 benchmarks compared to 4 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 64 tok/s vs 37 tok/s. GLM-4.6 (Non-reasoning) also has lower time-to-first-token (0.96s vs 1.19s).

When should I use GLM-4.6 (Non-reasoning) vs Qwen3 14B (Reasoning)?

Choose based on your priorities: Qwen3 14B (Reasoning) for lower cost, GLM-4.6 (Non-reasoning) for stronger benchmark performance, and Qwen3 14B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.