Compare/Qwen3 VL 32B (Reasoning) vs o3

Qwen3 VL 32B (Reasoning)vso3

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

o3

Input
$2/M
Output
$8/M
Speed
94 tok/s
TTFT
7.87s

Winner by Category

Cheaper
Qwen3 VL 32B (Reasoning)
Faster (tok/s)
Qwen3 VL 32B (Reasoning)
Lower Latency
Qwen3 VL 32B (Reasoning)
Benchmarks (0-12)
o3

Pricing Comparison

MetricQwen3 VL 32B (Reasoning)o3
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
o3$2.80

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3 VL 32B (Reasoning)
97 tok/s
o3
94 tok/s
Time to First Token (seconds) — lower is better
Qwen3 VL 32B (Reasoning)
1.08s
o3
7.87s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
24.738.4
Coding Index
14.538.4
Math Index
84.788.3
GPQA Diamond
73.3%82.7%
MMLU-Pro
81.8%85.3%
LiveCodeBench
73.8%80.8%
AIME 2025
84.7%88.3%
MATH-500
99.2%
Humanity's Last Exam
9.6%20.0%
SciCode
28.5%41.0%
IFBench
59.4%71.4%
TerminalBench
7.6%37.1%
Qwen3 VL 32B (Reasoning)0 wins
12 winso3

Frequently Asked Questions

Which is cheaper, Qwen3 VL 32B (Reasoning) or o3?

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 o3.

Which model performs better on benchmarks?

o3 wins 12 out of 12 benchmarks compared to 0 for Qwen3 VL 32B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3 VL 32B (Reasoning) generates tokens faster at 97 tok/s vs 94 tok/s. Qwen3 VL 32B (Reasoning) also has lower time-to-first-token (1.08s vs 7.87s).

When should I use Qwen3 VL 32B (Reasoning) vs o3?

Choose based on your priorities: Qwen3 VL 32B (Reasoning) for lower cost, o3 for stronger benchmark performance, and Qwen3 VL 32B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.