o1 vs Qwen3 VL 30B A3B Thinking
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for o1 and Qwen3 VL 30B A3B Thinking.
o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
Qwen3 VL 30B A3B Thinking
Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels...
Technical Specifications
| Specification | o1 | Qwen3 VL 30B A3B Thinking |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 200,000 tokens | 131,072 tokens |
| Agent Suitability | 88/100 | N/A |
| Time to First Token (TTFT) | 2500 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-12-17 | 2025-10-06 |
API Pricing Comparison
Input Price per Million Tokens
o1
$15.00
Qwen3 VL 30B A3B Thinking
$0.13
Output Price per Million Tokens
o1
$60.00
Qwen3 VL 30B A3B Thinking
$1.56
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
o1 Quirks & Gotchas
- ▸Reasoning model — high latency by design, not for real-time use
- ▸Best for complex math/code reasoning where accuracy > speed
- ▸Use o3-mini when you need reasoning with lower latency
Qwen3 VL 30B A3B Thinking Quirks & Gotchas
No developer gotchas reported.