Qwen: Qwen3 30B A3B Instruct 2507qwen
Qwen: Qwen3 30B A3B Instruct 2507: $0.09/1M input, $0.30/1M output, 262K context. 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...
API Pricing (per 1M tokens)
| Input | $0.09 |
| Output | $0.30 |
| Cache Read | — |
| Cache Write | — |
| Blended (3:1) | $0.14 |
Specs & Performance
| Context Length | 262K |
| Max Output | 236K |
| Intelligence | — |
| Coding | — |
| Math | — |
| Speed | — |
| TTFT | — |
| CPS Grade | — |
| Input / Output Modalities | text → text |
More from qwen
Looking for cheaper alternatives?
Find the cheapest model by task, or compare two models head-to-head.
FAQ
How much does the Qwen: Qwen3 30B A3B Instruct 2507 API cost?
Qwen: Qwen3 30B A3B Instruct 2507 costs $0.09/1M input tokens and $0.30/1M output tokens. Blended cost at a 3:1 ratio is about $0.14/1M tokens.
What is the context window of Qwen: Qwen3 30B A3B Instruct 2507?
Qwen: Qwen3 30B A3B Instruct 2507 supports a 262K token context window with up to 236K output tokens.
Is Qwen: Qwen3 30B A3B Instruct 2507 worth it?
Qwen: Qwen3 30B A3B Instruct 2507 has a CPS grade of — (score —), intelligence index —, coding index —. Use the compare page to benchmark against rivals.