Compare/QwQ 32B-Preview vs gpt-oss-20B (low)

QwQ 32B-Previewvsgpt-oss-20B (low)

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

Alibaba

QwQ 32B-Preview

Input
$0.12/M
Output
$0.18/M
Speed
59 tok/s
TTFT
0.49s
OpenAI

gpt-oss-20B (low)

Input
$0.06/M
Output
$0.2/M
Speed
321 tok/s
TTFT
0.46s

Winner by Category

Cheaper
gpt-oss-20B (low)
Faster (tok/s)
gpt-oss-20B (low)
Lower Latency
gpt-oss-20B (low)
Benchmarks (1-11)
gpt-oss-20B (low)

Pricing Comparison

MetricQwQ 32B-Previewgpt-oss-20B (low)
Input ($/M tokens)$0.12$0.06
Output ($/M tokens)$0.18$0.2
Cost for 1M input + 100K output tokens:
QwQ 32B-Preview$0.14
gpt-oss-20B (low)$0.08

Speed Comparison

Output Speed (tokens/s) — higher is better
QwQ 32B-Preview
59 tok/s
gpt-oss-20B (low)
321 tok/s
Time to First Token (seconds) — lower is better
QwQ 32B-Preview
0.49s
gpt-oss-20B (low)
0.46s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
15.220.8
Coding Index
14.4
Math Index
62.3
GPQA Diamond
55.7%61.1%
MMLU-Pro
64.8%71.8%
LiveCodeBench
33.7%65.2%
AIME 2025
62.3%
MATH-500
91.0%
Humanity's Last Exam
4.8%5.1%
SciCode
3.8%34.0%
IFBench
57.8%
TerminalBench
4.5%
QwQ 32B-Preview1 wins
11 winsgpt-oss-20B (low)

Frequently Asked Questions

Which is cheaper, QwQ 32B-Preview or gpt-oss-20B (low)?

gpt-oss-20B (low) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.09/M tokens vs $0.14/M for QwQ 32B-Preview.

Which model performs better on benchmarks?

gpt-oss-20B (low) wins 11 out of 12 benchmarks compared to 1 for QwQ 32B-Preview. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

gpt-oss-20B (low) generates tokens faster at 321 tok/s vs 59 tok/s. However, gpt-oss-20B (low) has lower time-to-first-token (0.46s vs 0.49s).

When should I use QwQ 32B-Preview vs gpt-oss-20B (low)?

Choose based on your priorities: gpt-oss-20B (low) for lower cost, gpt-oss-20B (low) for stronger benchmark performance, and gpt-oss-20B (low) for faster generation. For latency-sensitive apps, check the TTFT comparison above.