GPT-4.1 vs Qwen3 30B A3B Thinking 2507
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 GPT-4.1 and Qwen3 30B A3B Thinking 2507.
GPT-4.1
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
Qwen3 30B A3B Thinking 2507
Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated...
Technical Specifications
| Specification | GPT-4.1 | Qwen3 30B A3B Thinking 2507 |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 1,047,576 tokens | 131,072 tokens |
| Agent Suitability | 91/100 | N/A |
| Time to First Token (TTFT) | 250 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-04-14 | 2025-08-28 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4.1
$2.00
Qwen3 30B A3B Thinking 2507
$0.13
Output Price per Million Tokens
GPT-4.1
$8.00
Qwen3 30B A3B Thinking 2507
$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.
GPT-4.1 Quirks & Gotchas
- ▸Strong tool-calling reliability — good migration path from GPT-4o
- ▸Migrate to GPT-5 for larger context window and improved reasoning
Qwen3 30B A3B Thinking 2507 Quirks & Gotchas
No developer gotchas reported.