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

gpt-oss-20B (high)vsQwen2.5 Turbo

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

OpenAI

gpt-oss-20B (high)

Input
$0.06/M
Output
$0.2/M
Speed
316 tok/s
TTFT
0.41s
Alibaba

Qwen2.5 Turbo

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

Winner by Category

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

Pricing Comparison

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

Speed Comparison

Output Speed (tokens/s) — higher is better
gpt-oss-20B (high)
316 tok/s
Qwen2.5 Turbo
68 tok/s
Time to First Token (seconds) — lower is better
gpt-oss-20B (high)
0.41s
Qwen2.5 Turbo
1.06s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
24.512.0
Coding Index
18.5
Math Index
89.3
GPQA Diamond
68.8%41.0%
MMLU-Pro
74.8%63.3%
LiveCodeBench
77.7%16.3%
AIME 2025
89.3%
MATH-500
80.5%
Humanity's Last Exam
9.8%4.2%
SciCode
34.4%15.3%
IFBench
65.1%
TerminalBench
10.6%
gpt-oss-20B (high)11 wins
1 winsQwen2.5 Turbo

Frequently Asked Questions

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

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 (high).

Which model performs better on benchmarks?

gpt-oss-20B (high) 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 (high) generates tokens faster at 316 tok/s vs 68 tok/s. gpt-oss-20B (high) also has lower time-to-first-token (0.41s vs 1.06s).

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

Choose based on your priorities: Qwen2.5 Turbo for lower cost, gpt-oss-20B (high) for stronger benchmark performance, and gpt-oss-20B (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.