Compare/Qwen3 VL 235B A22B (Reasoning) vs o3

Qwen3 VL 235B A22B (Reasoning)vso3

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

Alibaba

Qwen3 VL 235B A22B (Reasoning)

Input
$0.7/M
Output
$8.4/M
Speed
60 tok/s
TTFT
1.24s
OpenAI

o3

Input
$2/M
Output
$8/M
Speed
125 tok/s
TTFT
6.65s

Winner by Category

Cheaper
Qwen3 VL 235B A22B (Reasoning)
Faster (tok/s)
o3
Lower Latency
Qwen3 VL 235B A22B (Reasoning)
Benchmarks (0-9)
o3

Pricing Comparison

MetricQwen3 VL 235B A22B (Reasoning)o3
Input ($/M tokens)$0.7$2
Output ($/M tokens)$8.4$8
Cost for 1M input + 100K output tokens:
Qwen3 VL 235B A22B (Reasoning)$1.54
o3$2.80

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3 VL 235B A22B (Reasoning)
60 tok/s
o3
125 tok/s
Time to First Token (seconds) — lower is better
Qwen3 VL 235B A22B (Reasoning)
1.24s
o3
6.65s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
20.630.4
Coding Index
Math Index
88.388.3
GPQA Diamond
77.2%82.7%
MMLU-Pro
83.6%85.3%
LiveCodeBench
64.6%80.8%
AIME 2025
88.3%88.3%
MATH-500
99.2%
Humanity's Last Exam
10.1%20.0%
SciCode
39.9%41.0%
IFBench
56.5%71.4%
TerminalBench
11.4%37.1%
Qwen3 VL 235B A22B (Reasoning)0 wins
9 winso3

Frequently Asked Questions

Which is cheaper, Qwen3 VL 235B A22B (Reasoning) or o3?

Qwen3 VL 235B A22B (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 9 out of 12 benchmarks compared to 0 for Qwen3 VL 235B A22B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

o3 generates tokens faster at 125 tok/s vs 60 tok/s. Qwen3 VL 235B A22B (Reasoning) also has lower time-to-first-token (1.24s vs 6.65s).

When should I use Qwen3 VL 235B A22B (Reasoning) vs o3?

Choose based on your priorities: Qwen3 VL 235B A22B (Reasoning) for lower cost, o3 for stronger benchmark performance, and o3 for faster generation. For latency-sensitive apps, check the TTFT comparison above.