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

Qwen3 0.6B (Reasoning)vsGPT-5.4 nano (Non-Reasoning)

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

Alibaba

Qwen3 0.6B (Reasoning)

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

GPT-5.4 nano (Non-Reasoning)

Input
$0.2/M
Output
$1.25/M
Speed
177 tok/s
TTFT
0.47s

Winner by Category

Cheaper
Qwen3 0.6B (Reasoning)
Faster (tok/s)
Qwen3 0.6B (Reasoning)
Lower Latency
GPT-5.4 nano (Non-Reasoning)
Benchmarks (6-6)
Tie

Pricing Comparison

MetricQwen3 0.6B (Reasoning)GPT-5.4 nano (Non-Reasoning)
Input ($/M tokens)$0.11$0.2
Output ($/M tokens)$1.26$1.25
Cost for 1M input + 100K output tokens:
Qwen3 0.6B (Reasoning)$0.24
GPT-5.4 nano (Non-Reasoning)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3 0.6B (Reasoning)
204 tok/s
GPT-5.4 nano (Non-Reasoning)
177 tok/s
Time to First Token (seconds) — lower is better
Qwen3 0.6B (Reasoning)
0.87s
GPT-5.4 nano (Non-Reasoning)
0.47s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
6.524.4
Coding Index
0.927.9
Math Index
18.0
GPQA Diamond
23.9%55.8%
MMLU-Pro
34.7%
LiveCodeBench
12.1%
AIME 2025
18.0%
MATH-500
75.0%
Humanity's Last Exam
5.7%4.2%
SciCode
2.8%35.2%
IFBench
23.3%32.7%
TerminalBench
0.0%24.2%
Qwen3 0.6B (Reasoning)6 wins
6 winsGPT-5.4 nano (Non-Reasoning)

Frequently Asked Questions

Which is cheaper, Qwen3 0.6B (Reasoning) or GPT-5.4 nano (Non-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 (Non-Reasoning).

Which model performs better on benchmarks?

It's a tie — both models win 6 benchmarks each across 12 evaluated categories. 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 177 tok/s. However, GPT-5.4 nano (Non-Reasoning) has lower time-to-first-token (0.47s vs 0.87s).

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

Choose based on your priorities: Qwen3 0.6B (Reasoning) for lower cost, both perform similarly on benchmarks, and Qwen3 0.6B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.