Compare/GPT-5.4 nano (xhigh) vs Qwen3 0.6B (Reasoning)

GPT-5.4 nano (xhigh)vsQwen3 0.6B (Reasoning)

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

OpenAI

GPT-5.4 nano (xhigh)

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

Qwen3 0.6B (Reasoning)

Input
$0.11/M
Output
$1.26/M
Speed
204 tok/s
TTFT
0.87s

Winner by Category

Cheaper
Qwen3 0.6B (Reasoning)
Faster (tok/s)
Qwen3 0.6B (Reasoning)
Lower Latency
Qwen3 0.6B (Reasoning)
Benchmarks (7-5)
GPT-5.4 nano (xhigh)

Pricing Comparison

MetricGPT-5.4 nano (xhigh)Qwen3 0.6B (Reasoning)
Input ($/M tokens)$0.2$0.11
Output ($/M tokens)$1.25$1.26
Cost for 1M input + 100K output tokens:
GPT-5.4 nano (xhigh)$0.33
Qwen3 0.6B (Reasoning)$0.24

Speed Comparison

Output Speed (tokens/s) — higher is better
GPT-5.4 nano (xhigh)
178 tok/s
Qwen3 0.6B (Reasoning)
204 tok/s
Time to First Token (seconds) — lower is better
GPT-5.4 nano (xhigh)
2.70s
Qwen3 0.6B (Reasoning)
0.87s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
44.46.5
Coding Index
43.90.9
Math Index
18.0
GPQA Diamond
81.7%23.9%
MMLU-Pro
34.7%
LiveCodeBench
12.1%
AIME 2025
18.0%
MATH-500
75.0%
Humanity's Last Exam
26.5%5.7%
SciCode
46.9%2.8%
IFBench
75.9%23.3%
TerminalBench
42.4%0.0%
GPT-5.4 nano (xhigh)7 wins
5 winsQwen3 0.6B (Reasoning)

Frequently Asked Questions

Which is cheaper, GPT-5.4 nano (xhigh) or Qwen3 0.6B (Reasoning)?

Qwen3 0.6B (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 0.6B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3 0.6B (Reasoning) generates tokens faster at 204 tok/s vs 178 tok/s. However, Qwen3 0.6B (Reasoning) has lower time-to-first-token (0.87s vs 2.70s).

When should I use GPT-5.4 nano (xhigh) vs Qwen3 0.6B (Reasoning)?

Choose based on your priorities: Qwen3 0.6B (Reasoning) for lower cost, GPT-5.4 nano (xhigh) for stronger benchmark performance, and Qwen3 0.6B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.