Model Comparison
o3-pro
vs. Qwen Chat 14B
Comparing 2 AI models · 1 benchmarks · OpenAI, Alibaba
Recommended Pick
Strongest on: Input price, Output price, TTFT
Lowest Price
Qwen Chat 14B
$0.00/1M input price
Best Reasoning
o3-pro
58.5 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
Price gap
Qwen Chat 14B is ∞x cheaper on input tokens than o3-pro.
Reasoning gap
o3-pro leads Qwen Chat 14B by 56.4 points on reasoning.
Top-pick rationale
Qwen Chat 14B wins 4 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
o3-pro
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen Chat 14B
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Op o3-pro | Top Pick Al Qwen Chat 14B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $20.00/1M | $0.00/1M |
| Output Cost | $80.00/1M | $0.00/1M |
| Blended (3:1) | $35.00/1M | — |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Jun 10, 2025 | Sep 25, 2023 |
| Performance & Speed | ||
| Throughput | 26.1 tok/s | — |
| TTFT | 64687ms | — |
| Latency | 64687ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 58.5 | 2.1 |
| Intelligence | 32.5 | 2.1 |
| Standard Benchmarks | ||
| GPQA | 84.5% | — |
Key Takeaways
Qwen Chat 14B offers the best value at $0.00/1M,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.
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
Qwen Chat 14B
- Cost-sensitive applications
- High-volume processing