Qwen: Qwen3.8 2.4T A95B
1M
text
text
Supported
About this model
Qwen3.8-2.4T-A95B is Qwen's largest open-weight Qwen3.8 reasoning model, built for advanced coding, professional work, research, and long-horizon agentic tasks. It uses a Mixture-of-Experts architecture with 2.4 trillion total parameters and 95 billion activated parameters, combining Gated DeltaNet linear attention, gated attention, MoE layers, and multi-token prediction. The model provides a native 262K-token context window that can be extended to approximately 1M tokens, supports configurable reasoning effort, and is optimized for complex multi-step task execution, autonomous planning, coding agents, and long-context workloads.
Input modalities
text
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Input tokens
$2.000 / 1M tokens
Output tokens
$6.000 / 1M tokens
Routing
OneInfer optimized
Input tokens
$2.000 / 1M tokens
Output tokens
$6.000 / 1M tokens
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $2.000 / 1M tokens |
| Output tokens | $6.000 / 1M tokens |
| Cached input tokens | $0.250 / 1M tokens |
Performance & Benchmarks
Independent evaluations and live cluster operational metrics
- • Optimized for unified API inference
- • High prompt fidelity across structured outputs
General inference, enterprise agent workflows, and conversational pipelines.
Based on data from Artificial Analysis. This analysis was generated by OneInfer and does not represent the views or endorsement of Artificial Analysis.
API Guide
- 1
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
- 2
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below. - 3
Check your credits
If your balance is too low, before calling the model.
- 4
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl https://api.oneinfer.ai/v1/ula/chat/completions \ -H "Authorization: Bearer $JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "Qwen/Qwen3.8-2.4T-A95B", "messages": [ { "role": "user", "content": "Hello!" } ] }'
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