Compare/Qwen3 14B (Reasoning) vs GLM-4.7 (Reasoning)

Qwen3 14B (Reasoning)vsGLM-4.7 (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-4.7 (Reasoning)

Input
$0.6/M
Output
$2.2/M
Speed
107 tok/s
TTFT
0.78s

Winner by Category

Cheaper
Qwen3 14B (Reasoning)
Faster (tok/s)
GLM-4.7 (Reasoning)
Lower Latency
GLM-4.7 (Reasoning)
Benchmarks (1-11)
GLM-4.7 (Reasoning)

Pricing Comparison

MetricQwen3 14B (Reasoning)GLM-4.7 (Reasoning)
Input ($/M tokens)$0.235$0.6
Output ($/M tokens)$2.22$2.2
Cost for 1M input + 100K output tokens:
Qwen3 14B (Reasoning)$0.46
GLM-4.7 (Reasoning)$0.82

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3 14B (Reasoning)
64 tok/s
GLM-4.7 (Reasoning)
107 tok/s
Time to First Token (seconds) — lower is better
Qwen3 14B (Reasoning)
1.19s
GLM-4.7 (Reasoning)
0.78s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
16.242.1
Coding Index
13.136.3
Math Index
55.795.0
GPQA Diamond
60.4%85.9%
MMLU-Pro
77.4%85.6%
LiveCodeBench
52.3%89.4%
AIME 2025
55.7%95.0%
MATH-500
96.1%
Humanity's Last Exam
4.3%25.1%
SciCode
31.6%45.1%
IFBench
40.5%67.9%
TerminalBench
3.8%31.8%
Qwen3 14B (Reasoning)1 wins
11 winsGLM-4.7 (Reasoning)

Frequently Asked Questions

Which is cheaper, Qwen3 14B (Reasoning) or GLM-4.7 (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-4.7 (Reasoning).

Which model performs better on benchmarks?

GLM-4.7 (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?

GLM-4.7 (Reasoning) generates tokens faster at 107 tok/s vs 64 tok/s. However, GLM-4.7 (Reasoning) has lower time-to-first-token (0.78s vs 1.19s).

When should I use Qwen3 14B (Reasoning) vs GLM-4.7 (Reasoning)?

Choose based on your priorities: Qwen3 14B (Reasoning) for lower cost, GLM-4.7 (Reasoning) for stronger benchmark performance, and GLM-4.7 (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.