Compare/Qwen3 VL 32B (Reasoning) vs GPT-4.1

Qwen3 VL 32B (Reasoning)vsGPT-4.1

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

Alibaba

Qwen3 VL 32B (Reasoning)

Input
$0.7/M
Output
$8.4/M
Speed
97 tok/s
TTFT
1.08s
OpenAI

GPT-4.1

Input
$2/M
Output
$8/M
Speed
102 tok/s
TTFT
0.53s

Winner by Category

Cheaper
Qwen3 VL 32B (Reasoning)
Faster (tok/s)
GPT-4.1
Lower Latency
GPT-4.1
Benchmarks (7-5)
Qwen3 VL 32B (Reasoning)

Pricing Comparison

MetricQwen3 VL 32B (Reasoning)GPT-4.1
Input ($/M tokens)$0.7$2
Output ($/M tokens)$8.4$8
Cost for 1M input + 100K output tokens:
Qwen3 VL 32B (Reasoning)$1.54
GPT-4.1$2.80

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3 VL 32B (Reasoning)
97 tok/s
GPT-4.1
102 tok/s
Time to First Token (seconds) — lower is better
Qwen3 VL 32B (Reasoning)
1.08s
GPT-4.1
0.53s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
24.726.3
Coding Index
14.521.8
Math Index
84.734.7
GPQA Diamond
73.3%66.6%
MMLU-Pro
81.8%80.6%
LiveCodeBench
73.8%45.7%
AIME 2025
84.7%34.7%
MATH-500
91.3%
Humanity's Last Exam
9.6%4.6%
SciCode
28.5%38.1%
IFBench
59.4%43.0%
TerminalBench
7.6%13.6%
Qwen3 VL 32B (Reasoning)7 wins
5 winsGPT-4.1

Frequently Asked Questions

Which is cheaper, Qwen3 VL 32B (Reasoning) or GPT-4.1?

Qwen3 VL 32B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $2.63/M tokens vs $3.50/M for GPT-4.1.

Which model performs better on benchmarks?

Qwen3 VL 32B (Reasoning) wins 7 out of 12 benchmarks compared to 5 for GPT-4.1. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-4.1 generates tokens faster at 102 tok/s vs 97 tok/s. However, GPT-4.1 has lower time-to-first-token (0.53s vs 1.08s).

When should I use Qwen3 VL 32B (Reasoning) vs GPT-4.1?

Choose based on your priorities: Qwen3 VL 32B (Reasoning) for lower cost, Qwen3 VL 32B (Reasoning) for stronger benchmark performance, and GPT-4.1 for faster generation. For latency-sensitive apps, check the TTFT comparison above.