Compare/QwQ 32B vs GLM-4.6V (Non-reasoning)

QwQ 32BvsGLM-4.6V (Non-reasoning)

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

Alibaba

QwQ 32B

Input
$0.66/M
Output
$1/M
Speed
33 tok/s
TTFT
0.45s
Z AI

GLM-4.6V (Non-reasoning)

Input
$0.3/M
Output
$0.9/M
Speed
23 tok/s
TTFT
5.88s

Winner by Category

Cheaper
GLM-4.6V (Non-reasoning)
Faster (tok/s)
QwQ 32B
Lower Latency
QwQ 32B
Benchmarks (10-2)
QwQ 32B

Pricing Comparison

MetricQwQ 32BGLM-4.6V (Non-reasoning)
Input ($/M tokens)$0.66$0.3
Output ($/M tokens)$1$0.9
Cost for 1M input + 100K output tokens:
QwQ 32B$0.76
GLM-4.6V (Non-reasoning)$0.39

Speed Comparison

Output Speed (tokens/s) — higher is better
QwQ 32B
33 tok/s
GLM-4.6V (Non-reasoning)
23 tok/s
Time to First Token (seconds) — lower is better
QwQ 32B
0.45s
GLM-4.6V (Non-reasoning)
5.88s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
19.717.1
Coding Index
11.1
Math Index
29.026.3
GPQA Diamond
59.3%56.6%
MMLU-Pro
76.4%75.2%
LiveCodeBench
63.1%41.1%
AIME 2025
29.0%26.3%
MATH-500
95.7%
Humanity's Last Exam
8.2%3.7%
SciCode
35.8%27.2%
IFBench
38.8%27.9%
TerminalBench
3.0%
QwQ 32B10 wins
2 winsGLM-4.6V (Non-reasoning)

Frequently Asked Questions

Which is cheaper, QwQ 32B or GLM-4.6V (Non-reasoning)?

GLM-4.6V (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.45/M tokens vs $0.74/M for QwQ 32B.

Which model performs better on benchmarks?

QwQ 32B wins 10 out of 12 benchmarks compared to 2 for GLM-4.6V (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

QwQ 32B generates tokens faster at 33 tok/s vs 23 tok/s. QwQ 32B also has lower time-to-first-token (0.45s vs 5.88s).

When should I use QwQ 32B vs GLM-4.6V (Non-reasoning)?

Choose based on your priorities: GLM-4.6V (Non-reasoning) for lower cost, QwQ 32B for stronger benchmark performance, and QwQ 32B for faster generation. For latency-sensitive apps, check the TTFT comparison above.