Compare/Qwen3.7 Max vs GPT-5.4 nano (Non-Reasoning)

Qwen3.7 MaxvsGPT-5.4 nano (Non-Reasoning)

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

Alibaba

Qwen3.7 Max

Input
$0/M
Output
$0/M
Speed
TTFT
OpenAI

GPT-5.4 nano (Non-Reasoning)

Input
$0.2/M
Output
$1.25/M
Speed
152 tok/s
TTFT
0.51s

Winner by Category

Cheaper
Qwen3.7 Max
Faster (tok/s)
GPT-5.4 nano (Non-Reasoning)
Lower Latency
Qwen3.7 Max
Benchmarks (7-0)
Qwen3.7 Max

Pricing Comparison

MetricQwen3.7 MaxGPT-5.4 nano (Non-Reasoning)
Input ($/M tokens)$0$0.2
Output ($/M tokens)$0$1.25
Cost for 1M input + 100K output tokens:
Qwen3.7 Max$0.00
GPT-5.4 nano (Non-Reasoning)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.7 Max
GPT-5.4 nano (Non-Reasoning)
152 tok/s
Time to First Token (seconds) — lower is better
Qwen3.7 Max
GPT-5.4 nano (Non-Reasoning)
0.51s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
56.624.4
Coding Index
50.127.9
Math Index
GPQA Diamond
92.3%55.8%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
38.1%4.2%
SciCode
48.8%35.2%
IFBench
80.5%32.7%
TerminalBench
50.8%24.2%
Qwen3.7 Max7 wins
0 winsGPT-5.4 nano (Non-Reasoning)

Frequently Asked Questions

Which is cheaper, Qwen3.7 Max or GPT-5.4 nano (Non-Reasoning)?

Qwen3.7 Max 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 (Non-Reasoning).

Which model performs better on benchmarks?

Qwen3.7 Max wins 7 out of 12 benchmarks compared to 0 for GPT-5.4 nano (Non-Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 nano (Non-Reasoning) generates tokens faster at 152 tok/s vs 0 tok/s. Qwen3.7 Max also has lower time-to-first-token (0.00s vs 0.51s).

When should I use Qwen3.7 Max vs GPT-5.4 nano (Non-Reasoning)?

Choose based on your priorities: Qwen3.7 Max for lower cost, Qwen3.7 Max for stronger benchmark performance, and GPT-5.4 nano (Non-Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.