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
We haven’t measured this model yet. Published academic results are under Academic Evaluations.
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://staging-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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