Compare/Qwen2.5 Instruct 72B vs GPT-5.4 nano (xhigh)

Qwen2.5 Instruct 72BvsGPT-5.4 nano (xhigh)

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

Alibaba

Qwen2.5 Instruct 72B

Input
$0/M
Output
$0/M
Speed
56 tok/s
TTFT
1.13s
OpenAI

GPT-5.4 nano (xhigh)

Input
$0.2/M
Output
$1.25/M
Speed
206 tok/s
TTFT
2.52s

Winner by Category

Cheaper
Qwen2.5 Instruct 72B
Faster (tok/s)
GPT-5.4 nano (xhigh)
Lower Latency
Qwen2.5 Instruct 72B
Benchmarks (5-7)
GPT-5.4 nano (xhigh)

Pricing Comparison

MetricQwen2.5 Instruct 72BGPT-5.4 nano (xhigh)
Input ($/M tokens)$0$0.2
Output ($/M tokens)$0$1.25
Cost for 1M input + 100K output tokens:
Qwen2.5 Instruct 72B$0.00
GPT-5.4 nano (xhigh)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen2.5 Instruct 72B
56 tok/s
GPT-5.4 nano (xhigh)
206 tok/s
Time to First Token (seconds) — lower is better
Qwen2.5 Instruct 72B
1.13s
GPT-5.4 nano (xhigh)
2.52s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
15.644.4
Coding Index
11.943.9
Math Index
14.0
GPQA Diamond
49.1%81.7%
MMLU-Pro
72.0%
LiveCodeBench
27.6%
AIME 2025
14.0%
MATH-500
85.8%
Humanity's Last Exam
4.2%26.5%
SciCode
26.7%46.9%
IFBench
36.9%75.9%
TerminalBench
4.5%42.4%
Qwen2.5 Instruct 72B5 wins
7 winsGPT-5.4 nano (xhigh)

Frequently Asked Questions

Which is cheaper, Qwen2.5 Instruct 72B or GPT-5.4 nano (xhigh)?

Qwen2.5 Instruct 72B 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 5 for Qwen2.5 Instruct 72B. 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 206 tok/s vs 56 tok/s. Qwen2.5 Instruct 72B also has lower time-to-first-token (1.13s vs 2.52s).

When should I use Qwen2.5 Instruct 72B vs GPT-5.4 nano (xhigh)?

Choose based on your priorities: Qwen2.5 Instruct 72B 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.