Compare/GLM-4.6 (Reasoning) vs Qwen3 8B (Reasoning)

GLM-4.6 (Reasoning)vsQwen3 8B (Reasoning)

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

Z AI

GLM-4.6 (Reasoning)

Input
$0.575/M
Output
$2.2/M
Speed
84 tok/s
TTFT
0.67s
Alibaba

Qwen3 8B (Reasoning)

Input
$0.18/M
Output
$2.1/M
Speed
90 tok/s
TTFT
0.92s

Winner by Category

Cheaper
Qwen3 8B (Reasoning)
Faster (tok/s)
Qwen3 8B (Reasoning)
Lower Latency
GLM-4.6 (Reasoning)
Benchmarks (11-1)
GLM-4.6 (Reasoning)

Pricing Comparison

MetricGLM-4.6 (Reasoning)Qwen3 8B (Reasoning)
Input ($/M tokens)$0.575$0.18
Output ($/M tokens)$2.2$2.1
Cost for 1M input + 100K output tokens:
GLM-4.6 (Reasoning)$0.79
Qwen3 8B (Reasoning)$0.39

Speed Comparison

Output Speed (tokens/s) — higher is better
GLM-4.6 (Reasoning)
84 tok/s
Qwen3 8B (Reasoning)
90 tok/s
Time to First Token (seconds) — lower is better
GLM-4.6 (Reasoning)
0.67s
Qwen3 8B (Reasoning)
0.92s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
32.513.2
Coding Index
29.59.0
Math Index
86.019.0
GPQA Diamond
78.0%58.9%
MMLU-Pro
82.9%74.3%
LiveCodeBench
69.5%40.6%
AIME 2025
86.0%19.0%
MATH-500
90.4%
Humanity's Last Exam
13.3%4.2%
SciCode
38.4%22.6%
IFBench
43.4%33.5%
TerminalBench
25.0%2.3%
GLM-4.6 (Reasoning)11 wins
1 winsQwen3 8B (Reasoning)

Frequently Asked Questions

Which is cheaper, GLM-4.6 (Reasoning) or Qwen3 8B (Reasoning)?

Qwen3 8B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.66/M tokens vs $0.98/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 8B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3 8B (Reasoning) generates tokens faster at 90 tok/s vs 84 tok/s. GLM-4.6 (Reasoning) also has lower time-to-first-token (0.67s vs 0.92s).

When should I use GLM-4.6 (Reasoning) vs Qwen3 8B (Reasoning)?

Choose based on your priorities: Qwen3 8B (Reasoning) for lower cost, GLM-4.6 (Reasoning) for stronger benchmark performance, and Qwen3 8B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.