# Qwen3.8 2.4T A95B Usage, Cost & Rank | OpenCode Data

> Qwen3.8 2.4T A95B costs $2.00 per 1M input tokens and $6.00 per 1M output tokens.

Open-weight sparse MoE (2.4T total, 95B active), the open-weight twin of Qwen3.8 Max for coding, research, complex reasoning, and agentic workflows

- Page: https://opencode.ai/data/alibaba/qwen3-8-2-4t-a95b
- JSON: https://opencode.ai/data/alibaba/qwen3-8-2-4t-a95b.json
- Model ID: alibaba/qwen3.8-2.4t-a95b
- Lab: Alibaba

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 262K |
| Max output | 131K |
| Knowledge cutoff | - |
| Release date | 2026-08-12 |
| Input modalities | text |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | Yes |
| Weights | [Hugging Face](https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B) |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $2.00 | $6.00 | $0.25 | - |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.