GPT-5 Mini vs Qwen3 30B A3B Instruct 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-5 Mini and Qwen3 30B A3B Instruct 2507.
GPT-5 Mini
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
Qwen3 30B A3B Instruct 2507
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
Technical Specifications
| Specification | GPT-5 Mini | Qwen3 30B A3B Instruct 2507 |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 400,000 tokens | 131,072 tokens |
| Agent Suitability | 85/100 | N/A |
| Time to First Token (TTFT) | 180 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-07 | 2025-07-29 |
API Pricing Comparison
Input Price per Million Tokens
GPT-5 Mini
$0.25
Qwen3 30B A3B Instruct 2507
$0.05
Output Price per Million Tokens
GPT-5 Mini
$2.00
Qwen3 30B A3B Instruct 2507
$0.19
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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-5 Mini Quirks & Gotchas
- ▸Excellent for high-frequency classification and routing tasks
- ▸Tool calling reliability drops on complex multi-step chains — use GPT-5 for agentic workflows
Qwen3 30B A3B Instruct 2507 Quirks & Gotchas
No developer gotchas reported.