Model Comparison
o3-mini
vs. Qwen3 VL 32B (Reasoning)
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
Opo3-mini9 metric winsStrongest on: Value, Output price, Blended price
Best Value
o3-mini
100.0 value score
55.4 reasoning / $1.93/1M
Lowest Price
Qwen3 VL 32B (Reasoning)
$0.70/1M input price
Best Reasoning
o3-mini
55.4 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
o3-mini has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 VL 32B (Reasoning) is 1.6x cheaper on input tokens than o3-mini.
Speed gap
o3-mini generates about 2.3x as many tokens per second as Qwen3 VL 32B (Reasoning).
Reasoning gap
o3-mini leads Qwen3 VL 32B (Reasoning) by 1.3 points on reasoning.
Top-pick rationale
o3-mini wins 9 measurable categories, including Value, Output price, Blended price, Throughput.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
o3-mini
OpenAI
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Qwen3 VL 32B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Op o3-mini | Al Qwen3 VL 32B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.10/1M | $0.70/1M |
| Output Cost | $4.40/1M | $8.40/1M |
| Blended (3:1) | $1.93/1M | $2.63/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Jan 31, 2025 | Oct 21, 2025 |
| Performance & Speed | ||
| Throughput | 223.3 tok/s | 97.7 tok/s |
| TTFT | 5663ms | 1245ms |
| Latency | 5663ms | 21716ms |
| Composite Indices | ||
| Value Score | 100.0 | 71.6 |
| Reasoning Score | 55.4 | 54.0 |
| Intelligence | 19.0 | 17.9 |
| Math | — | 84.7 |
| Standard Benchmarks | ||
| GPQA | 74.8% | 73.3% |
| MMLU Pro | 79.1% | 81.8% |
| HLE | 8.7% | 9.6% |
| LiveCodeBench | 71.7% | 73.8% |
| MATH 500 | 97.3% | — |
| AIME 2025 | — | 84.7% |
| AIME (Original) | 77.0% | — |
| SciCode | 39.9% | 28.5% |
| LCR | — | 55.3% |
| IFBench | — | 59.4% |
| TAU-bench v2 | 28.7% | 45.6% |
| TerminalBench Hard | 6.8% | 7.6% |
Key Takeaways
Qwen3 VL 32B (Reasoning) offers the best value at $0.70/1M,making it ideal for high-volume applications and cost-conscious projects.
o3-mini has the strongest reasoning profile with a 55.4 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
o3-mini
- Complex reasoning tasks
- Research & analysis
Qwen3 VL 32B (Reasoning)
- Cost-sensitive applications
- High-volume processing
