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Qwen3.8-2.4T-A95B

Qwen3.8-2.4T-A95B is a verified current AI model with official specifications, pricing or access details, capabilities, practical use cases, strengths and limitations.

Open-Weight Reasoning ModelText Freemium
In plain English

What is this model and why does it matter?

Qwen3.8-2.4T-A95B is Qwen's massive sparse MoE open-weight flagship with 2.4 trillion total parameters, about 95B active parameters and a native 1M-token context window.

Frontier researchLarge-scale codingLong-context agentsPrivate flagship deploymentAdvanced reasoning
Model overview

Qwen3.8-2.4T-A95B: features, use cases and important details

Qwen3.8-2.4T-A95B is a current AI model verified from first-party Alibaba / Qwen sources.

Qwen3.8-2.4T-A95B verified specifications

Qwen3.8-2.4T-A95B is Qwen’s massive sparse MoE open-weight flagship with 2.4 trillion total parameters, about 95B active parameters and a native 1M-token context window. Its verified context or usage limit is 1000000 tokens, with 131072 tokens maximum output.

Qwen3.8-2.4T-A95B pricing and access

Singapore international hosted pricing is $2 per 1M input tokens and $6 per 1M output tokens. Weights are downloadable under the Qwen3.8-Max License for self-hosted deployment.

Qwen3.8-2.4T-A95B best uses

Frontier research, Large-scale coding, Long-context agents, Private flagship deployment, Advanced reasoning.

Qwen3.8-2.4T-A95B limitations

Multi-terabyte weights demand specialized infrastructure, Hosted fine-tuning is not supported, Not suitable for ordinary local hardware.

Get started

How to use this model

  1. Use Model Studio for hosted inference or download the official weights.
  2. Review the Qwen3.8-Max License.
  3. Provision a suitable multi-GPU cluster for self-hosting.
  4. Enable thinking when appropriate.
  5. Use tools and structured outputs.
  6. Benchmark cost and throughput.
Copy and try

Example prompts

  • Reason across this million-token technical corpus.
  • Plan and execute this large engineering task.
  • Analyze the architecture and produce a rigorous implementation strategy.
Capabilities

What it can do

  • 2.4T total / ~95B active
  • 1M context
  • 131K output
  • Thinking
  • Function calling
  • Structured outputs
  • Downloadable weights
Best for

Practical use cases

  • Frontier research
  • Coding agents
  • Long-context enterprise AI
  • Private model hosting
  • Deep reasoning
Pricing

What does it cost?

Singapore international hosted pricing is $2 per 1M input tokens and $6 per 1M output tokens. Weights are downloadable under the Qwen3.8-Max License for self-hosted deployment.

Input$2 / 1M tokens (Singapore international)
Output$6 / 1M tokens (Singapore international)
Simple summaryHosted international pricing is $2/M input and $6/M output; self-hosting requires very large-scale infrastructure.

What stands out

  • Massive frontier-scale open weights
  • 1M context
  • Strong reasoning and coding
  • Commercial-use license

Things to consider

  • Extremely large self-hosting requirement
  • Custom license rather than Apache 2.0
  • Text only
Limitations

Important restrictions and trade-offs

  • Multi-terabyte weights demand specialized infrastructure
  • Hosted fine-tuning is not supported
  • Not suitable for ordinary local hardware
SimplifyAITools verdict

Our editorial take

One of the most notable open-weight releases of 2026 and a high-intent page for teams comparing frontier self-hosted models.

References

Primary sources

  1. Open source 1 ↗
  2. Open source 2 ↗
  3. Open source 3 ↗
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