Compare/Qwen2.5 Turbo vs gpt-oss-20B (low)

Qwen2.5 Turbovsgpt-oss-20B (low)

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

Alibaba

Qwen2.5 Turbo

Input
$0.05/M
Output
$0.2/M
Speed
68 tok/s
TTFT
1.06s
OpenAI

gpt-oss-20B (low)

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

Winner by Category

Cheaper
Qwen2.5 Turbo
Faster (tok/s)
gpt-oss-20B (low)
Lower Latency
gpt-oss-20B (low)
Benchmarks (1-11)
gpt-oss-20B (low)

Pricing Comparison

MetricQwen2.5 Turbogpt-oss-20B (low)
Input ($/M tokens)$0.05$0.06
Output ($/M tokens)$0.2$0.2
Cost for 1M input + 100K output tokens:
Qwen2.5 Turbo$0.07
gpt-oss-20B (low)$0.08

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen2.5 Turbo
68 tok/s
gpt-oss-20B (low)
321 tok/s
Time to First Token (seconds) — lower is better
Qwen2.5 Turbo
1.06s
gpt-oss-20B (low)
0.46s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
12.020.8
Coding Index
14.4
Math Index
62.3
GPQA Diamond
41.0%61.1%
MMLU-Pro
63.3%71.8%
LiveCodeBench
16.3%65.2%
AIME 2025
62.3%
MATH-500
80.5%
Humanity's Last Exam
4.2%5.1%
SciCode
15.3%34.0%
IFBench
57.8%
TerminalBench
4.5%
Qwen2.5 Turbo1 wins
11 winsgpt-oss-20B (low)

Frequently Asked Questions

Which is cheaper, Qwen2.5 Turbo or gpt-oss-20B (low)?

Qwen2.5 Turbo is cheaper overall. Its blended price (3:1 input/output ratio) is $0.09/M tokens vs $0.09/M for gpt-oss-20B (low).

Which model performs better on benchmarks?

gpt-oss-20B (low) wins 11 out of 12 benchmarks compared to 1 for Qwen2.5 Turbo. 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 68 tok/s. However, gpt-oss-20B (low) has lower time-to-first-token (0.46s vs 1.06s).

When should I use Qwen2.5 Turbo vs gpt-oss-20B (low)?

Choose based on your priorities: Qwen2.5 Turbo 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.