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

Qwen3 14B (Reasoning)vsGLM-4.6 (Reasoning)

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

Alibaba

Qwen3 14B (Reasoning)

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

GLM-4.6 (Reasoning)

Input
$0.55/M
Output
$2.2/M
Speed
37 tok/s
TTFT
0.75s

Winner by Category

Cheaper
Qwen3 14B (Reasoning)
Faster (tok/s)
Qwen3 14B (Reasoning)
Lower Latency
GLM-4.6 (Reasoning)
Benchmarks (1-11)
GLM-4.6 (Reasoning)

Pricing Comparison

MetricQwen3 14B (Reasoning)GLM-4.6 (Reasoning)
Input ($/M tokens)$0.235$0.55
Output ($/M tokens)$2.22$2.2
Cost for 1M input + 100K output tokens:
Qwen3 14B (Reasoning)$0.46
GLM-4.6 (Reasoning)$0.77

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3 14B (Reasoning)
64 tok/s
GLM-4.6 (Reasoning)
37 tok/s
Time to First Token (seconds) — lower is better
Qwen3 14B (Reasoning)
1.19s
GLM-4.6 (Reasoning)
0.75s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
16.232.5
Coding Index
13.129.5
Math Index
55.786.0
GPQA Diamond
60.4%78.0%
MMLU-Pro
77.4%82.9%
LiveCodeBench
52.3%69.5%
AIME 2025
55.7%86.0%
MATH-500
96.1%
Humanity's Last Exam
4.3%13.3%
SciCode
31.6%38.4%
IFBench
40.5%43.4%
TerminalBench
3.8%25.0%
Qwen3 14B (Reasoning)1 wins
11 winsGLM-4.6 (Reasoning)

Frequently Asked Questions

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

Qwen3 14B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.73/M tokens vs $0.96/M for GLM-4.6 (Reasoning).

Which model performs better on benchmarks?

GLM-4.6 (Reasoning) wins 11 out of 12 benchmarks compared to 1 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. However, GLM-4.6 (Reasoning) has lower time-to-first-token (0.75s vs 1.19s).

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

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