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Qwen: Qwen3.8 2.4T A95B

Qwen/Qwen3.8-2.4T-A95B
Studio Quality Instant (~1–2s) 99% Uptime 4.9 (98% positive)
Context

1M

Input

text

Output

text

Tool calling

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.

Available

Input tokens

$2.000 / 1M tokens

Output tokens

$6.000 / 1M tokens

Routing

OneInfer optimized

Available

Input tokens

$2.000 / 1M tokens

Output tokens

$6.000 / 1M tokens

Routing

OneInfer optimized

Pricing

Current OneInfer pricing for this model.

UsagePrice
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

Quality Grade Verified Cluster Grade
Response Speed Standard Latency
Cluster Reliability Active (99% Uptime)
Community Rating 4.8 / 5.0
Key Strengths
  • Optimized for unified API inference
  • High prompt fidelity across structured outputs
Guidance & Watchouts

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

Refer Documentation
  1. 1

    Generate your access token

    Use your API key to generate the JWT access token required by the Models API.

  2. 2

    Add the JWT token

    Copy the generated JWT token and replace JWT_TOKEN in the example below.

  3. 3

    Check your credits

    If your balance is too low, before calling the model.

  4. 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!" }
        ]
      }'

Community Model Reviews & Ratings

Verified visitor & developer evaluations on Qwen: Qwen3.8 2.4T A95B's real-world intelligence, code accuracy, and speed

4.8
Community consensus rating
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