Compare/QwQ 32B-Preview vs GPT-5.4 nano (xhigh)

QwQ 32B-PreviewvsGPT-5.4 nano (xhigh)

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

Alibaba

QwQ 32B-Preview

Input
$0/M
Output
$0/M
Speed
TTFT
OpenAI

GPT-5.4 nano (xhigh)

Input
$0.2/M
Output
$1.25/M
Speed
147 tok/s
TTFT
3.00s

Winner by Category

Cheaper
QwQ 32B-Preview
Faster (tok/s)
GPT-5.4 nano (xhigh)
Lower Latency
QwQ 32B-Preview
Benchmarks (3-7)
GPT-5.4 nano (xhigh)

Pricing Comparison

MetricQwQ 32B-PreviewGPT-5.4 nano (xhigh)
Input ($/M tokens)$0$0.2
Output ($/M tokens)$0$1.25
Cost for 1M input + 100K output tokens:
QwQ 32B-Preview$0.00
GPT-5.4 nano (xhigh)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
QwQ 32B-Preview
GPT-5.4 nano (xhigh)
147 tok/s
Time to First Token (seconds) — lower is better
QwQ 32B-Preview
GPT-5.4 nano (xhigh)
3.00s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
15.244.0
Coding Index
43.9
Math Index
GPQA Diamond
55.7%81.7%
MMLU-Pro
64.8%
LiveCodeBench
33.7%
AIME 2025
MATH-500
91.0%
Humanity's Last Exam
4.8%26.5%
SciCode
3.8%46.9%
IFBench
75.9%
TerminalBench
42.4%
QwQ 32B-Preview3 wins
7 winsGPT-5.4 nano (xhigh)

Frequently Asked Questions

Which is cheaper, QwQ 32B-Preview or GPT-5.4 nano (xhigh)?

QwQ 32B-Preview is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.46/M for GPT-5.4 nano (xhigh).

Which model performs better on benchmarks?

GPT-5.4 nano (xhigh) wins 7 out of 12 benchmarks compared to 3 for QwQ 32B-Preview. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 nano (xhigh) generates tokens faster at 147 tok/s vs 0 tok/s. QwQ 32B-Preview also has lower time-to-first-token (0.00s vs 3.00s).

When should I use QwQ 32B-Preview vs GPT-5.4 nano (xhigh)?

Choose based on your priorities: QwQ 32B-Preview for lower cost, GPT-5.4 nano (xhigh) for stronger benchmark performance, and GPT-5.4 nano (xhigh) for faster generation. For latency-sensitive apps, check the TTFT comparison above.