Qwen: Qwen3.8 2.4T A95B (batch)qwen
Qwen: Qwen3.8 2.4T A95B (batch): $2.00/1M input, $6.00/1M output, 1.0M context. Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
API Pricing (per 1M tokens)
| Input | $2.00 |
| Output | $6.00 |
| Cache Read | — |
| Cache Write | — |
| Blended (3:1) | $3.00 |
Specs & Performance
| Context Length | 1.0M |
| Max Output | 909K |
| Intelligence | — |
| Coding | — |
| Math | — |
| Speed | — |
| TTFT | — |
| CPS Grade | — |
| Input / Output Modalities | text → text |
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FAQ
How much does the Qwen: Qwen3.8 2.4T A95B (batch) API cost?
Qwen: Qwen3.8 2.4T A95B (batch) costs $2.00/1M input tokens and $6.00/1M output tokens. Blended cost at a 3:1 ratio is about $3.00/1M tokens.
What is the context window of Qwen: Qwen3.8 2.4T A95B (batch)?
Qwen: Qwen3.8 2.4T A95B (batch) supports a 1.0M token context window with up to 909K output tokens.
Is Qwen: Qwen3.8 2.4T A95B (batch) worth it?
Qwen: Qwen3.8 2.4T A95B (batch) has a CPS grade of — (score —), intelligence index —, coding index —. Use the compare page to benchmark against rivals.