Model Comparison
o3-pro
vs. Qwen3 14B (Reasoning)
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
AlQwen3 14B (Reasoning)7 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3 14B (Reasoning)
100.0 value score
51.3 reasoning / $1.31/1M
Lowest Price
Qwen3 14B (Reasoning)
$0.35/1M input price
Best Reasoning
o3-pro
58.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 14B (Reasoning)
13.8 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Qwen3 14B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 14B (Reasoning) is 57.1x cheaper on input tokens than o3-pro.
Speed gap
Qwen3 14B (Reasoning) generates about 2.0x as many tokens per second as o3-pro.
Reasoning gap
o3-pro leads Qwen3 14B (Reasoning) by 7.2 points on reasoning.
Top-pick rationale
Qwen3 14B (Reasoning) wins 7 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
o3-pro
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 14B (Reasoning)
Alibaba
TTFT
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Time
—
tok/s
—
Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Op o3-pro | Top Pick Al Qwen3 14B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $20.00/1M | $0.35/1M |
| Output Cost | $80.00/1M | $4.20/1M |
| Blended (3:1) | $35.00/1M | $1.31/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Jun 10, 2025 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | 32.7 tok/s | 64.7 tok/s |
| TTFT | 56248ms | 1149ms |
| Latency | 56248ms | 32040ms |
| Composite Indices | ||
| Value Score | 4.3 | 100.0 |
| Reasoning Score | 58.5 | 51.3 |
| Intelligence | 32.5 | 10.4 |
| Coding | — | 13.8 |
| Math | — | 55.7 |
| Standard Benchmarks | ||
| GPQA | 84.5% | 60.4% |
| MMLU Pro | — | 77.4% |
| HLE | — | 4.3% |
| LiveCodeBench | — | 52.3% |
| MATH 500 | — | 96.1% |
| AIME 2025 | — | 55.7% |
| AIME (Original) | — | 76.3% |
| SciCode | — | 31.6% |
| LCR | — | 0.0% |
| IFBench | — | 40.5% |
| TAU-bench v2 | — | 34.5% |
| TerminalBench Hard | — | 3.8% |
Key Takeaways
Qwen3 14B (Reasoning) offers the best value at $0.35/1M,making it ideal for high-volume applications and cost-conscious projects.
o3-pro has the strongest reasoning profile with a 58.5 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3 14B (Reasoning) reaches a 13.8 coding index,making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
o3-pro
- Complex reasoning tasks
- Research & analysis
Qwen3 14B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
