Model Comparison
o3-mini
vs. Qwen3 Max Thinking (Preview)
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
AlQwen3 Max Thinking (Preview)8 metric winsStrongest on: TTFT, Reasoning, Intelligence
Best Value
o3-mini
100.0 value score
55.4 reasoning / $1.93/1M
Lowest Price
o3-mini
$1.10/1M input price
Best Reasoning
Qwen3 Max Thinking (Preview)
55.8 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
o3-mini is 1.1x cheaper on input tokens than Qwen3 Max Thinking (Preview).
Speed gap
o3-mini generates about 3.4x as many tokens per second as Qwen3 Max Thinking (Preview).
Reasoning gap
Qwen3 Max Thinking (Preview) leads o3-mini by 0.5 points on reasoning.
Top-pick rationale
Qwen3 Max Thinking (Preview) wins 8 measurable categories, including TTFT, Reasoning, Intelligence, GPQA.
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 Max Thinking (Preview)
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 Max Thinking (Preview) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.10/1M | $1.20/1M |
| Output Cost | $4.40/1M | $6.00/1M |
| Blended (3:1) | $1.93/1M | $2.40/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Jan 31, 2025 | Nov 3, 2025 |
| Performance & Speed | ||
| Throughput | 211.6 tok/s | 62.2 tok/s |
| TTFT | 5552ms | 1703ms |
| Latency | 5552ms | 33857ms |
| Composite Indices | ||
| Value Score | 100.0 | 80.9 |
| Reasoning Score | 55.4 | 55.8 |
| Intelligence | 19.0 | 25.0 |
| Math | — | 82.3 |
| Standard Benchmarks | ||
| GPQA | 74.8% | 77.6% |
| MMLU Pro | 79.1% | 82.4% |
| HLE | 8.7% | 12.0% |
| LiveCodeBench | 71.7% | 53.5% |
| MATH 500 | 97.3% | — |
| AIME 2025 | — | 82.3% |
| AIME (Original) | 77.0% | — |
| SciCode | 39.9% | 38.7% |
| LCR | — | 57.7% |
| IFBench | — | 53.8% |
| TAU-bench v2 | 28.7% | 83.6% |
| TerminalBench Hard | 6.8% | 17.4% |
Key Takeaways
o3-mini offers the best value at $1.10/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 Max Thinking (Preview) has the strongest reasoning profile with a 55.8 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
- Cost-sensitive applications
- High-volume processing
Qwen3 Max Thinking (Preview)
- Complex reasoning tasks
- Research & analysis
