Model Comparison
o3-mini
vs. Qwen3 VL 235B A22B (Reasoning)
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
AlQwen3 VL 235B A22B (Reasoning)9 metric winsStrongest on: Input price, TTFT, Reasoning
Best Value
o3-mini
100.0 value score
55.4 reasoning / $1.93/1M
Lowest Price
Qwen3 VL 235B A22B (Reasoning)
$0.70/1M input price
Best Reasoning
Qwen3 VL 235B A22B (Reasoning)
56.9 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 235B A22B (Reasoning) is 1.6x cheaper on input tokens than o3-mini.
Speed gap
o3-mini generates about 4.0x as many tokens per second as Qwen3 VL 235B A22B (Reasoning).
Reasoning gap
Qwen3 VL 235B A22B (Reasoning) leads o3-mini by 1.5 points on reasoning.
Top-pick rationale
Qwen3 VL 235B A22B (Reasoning) wins 9 measurable categories, including Input price, TTFT, Reasoning, Intelligence.
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
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tok/s
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Tokens
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Cost
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Qwen3 VL 235B A22B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Op o3-mini | Top Pick Al Qwen3 VL 235B A22B (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 | Sep 23, 2025 |
| Performance & Speed | ||
| Throughput | 235.3 tok/s | 58.2 tok/s |
| TTFT | 5826ms | 1958ms |
| Latency | 5826ms | 36295ms |
| Composite Indices | ||
| Value Score | 100.0 | 75.4 |
| Reasoning Score | 55.4 | 56.9 |
| Intelligence | 19.0 | 20.6 |
| Math | — | 88.3 |
| Standard Benchmarks | ||
| GPQA | 74.8% | 77.2% |
| MMLU Pro | 79.1% | 83.6% |
| HLE | 8.7% | 10.1% |
| LiveCodeBench | 71.7% | 64.6% |
| MATH 500 | 97.3% | — |
| AIME 2025 | — | 88.3% |
| AIME (Original) | 77.0% | — |
| SciCode | 39.9% | 39.9% |
| LCR | — | 58.7% |
| IFBench | — | 56.5% |
| TAU-bench v2 | 28.7% | 54.1% |
| TerminalBench Hard | 6.8% | 11.4% |
Key Takeaways
Qwen3 VL 235B A22B (Reasoning) offers the best value at $0.70/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 VL 235B A22B (Reasoning) has the strongest reasoning profile with a 56.9 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
- General-purpose AI
- Versatile applications
Qwen3 VL 235B A22B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
