Compare/Qwen3 1.7B (Reasoning) vs GPT-5.4 nano (xhigh)

Qwen3 1.7B (Reasoning)vsGPT-5.4 nano (xhigh)

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

Alibaba

Qwen3 1.7B (Reasoning)

Input
$0.11/M
Output
$1.26/M
Speed
140 tok/s
TTFT
0.88s
OpenAI

GPT-5.4 nano (xhigh)

Input
$0.2/M
Output
$1.25/M
Speed
178 tok/s
TTFT
2.70s

Winner by Category

Cheaper
Qwen3 1.7B (Reasoning)
Faster (tok/s)
GPT-5.4 nano (xhigh)
Lower Latency
Qwen3 1.7B (Reasoning)
Benchmarks (5-7)
GPT-5.4 nano (xhigh)

Pricing Comparison

MetricQwen3 1.7B (Reasoning)GPT-5.4 nano (xhigh)
Input ($/M tokens)$0.11$0.2
Output ($/M tokens)$1.26$1.25
Cost for 1M input + 100K output tokens:
Qwen3 1.7B (Reasoning)$0.24
GPT-5.4 nano (xhigh)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3 1.7B (Reasoning)
140 tok/s
GPT-5.4 nano (xhigh)
178 tok/s
Time to First Token (seconds) — lower is better
Qwen3 1.7B (Reasoning)
0.88s
GPT-5.4 nano (xhigh)
2.70s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
8.044.4
Coding Index
1.443.9
Math Index
38.7
GPQA Diamond
35.6%81.7%
MMLU-Pro
57.0%
LiveCodeBench
30.8%
AIME 2025
38.7%
MATH-500
89.4%
Humanity's Last Exam
4.8%26.5%
SciCode
4.3%46.9%
IFBench
26.9%75.9%
TerminalBench
0.0%42.4%
Qwen3 1.7B (Reasoning)5 wins
7 winsGPT-5.4 nano (xhigh)

Frequently Asked Questions

Which is cheaper, Qwen3 1.7B (Reasoning) or GPT-5.4 nano (xhigh)?

Qwen3 1.7B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.40/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 Qwen3 1.7B (Reasoning). 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 178 tok/s vs 140 tok/s. Qwen3 1.7B (Reasoning) also has lower time-to-first-token (0.88s vs 2.70s).

When should I use Qwen3 1.7B (Reasoning) vs GPT-5.4 nano (xhigh)?

Choose based on your priorities: Qwen3 1.7B (Reasoning) 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.