Skip to main content
AI Choice Engine

Qwen

Qwen3.8-2.4T-A95B

Qwen3.8-2.4T-A95B is a Qwen model with 262K context, $2 in / $6 out per million tokens, last verified October 2, 2026. Open weights: yes. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.

Qwen's downloadable text-only Max-class checkpoint, with hybrid attention and tunable reasoning, distinct from the enhanced managed Qwen3.8-Max model.

Recorded profile verification October 2, 2026Individual provider fields may change

AI model specification details
SpecificationQwen3.8-2.4T-A95B
ProviderQwen
TierFrontier
Context window262K
Max outputNot verifiedUnverified
Input / 1M tokens$2
Output / 1M tokens$6
WeightsOpen
Parameters2.4T total / 95B active (MoE)
Reasoning levelslow, medium, xhigh
Modalitiestext
LicenseQwen3.8-Max License
API model idqwen3.8-2.4t-a95b
ReleasedNot verifiedUnverified

Pricing tiers: Alibaba Cloud lists the hosted qwen3.8-2.4t-a95b endpoint at $2/$6 per MTok in Singapore International scope; Beijing is $1.65/$4.951. These are hosted regional fees, not self-hosting costs. Native checkpoint context is 262,144, extensible to 1,010,000 with documented serving configuration; the hosted pricing row uses up to 1M input, not a native configuration or output cap. Its pricing row lists both thinking modes, while the downloadable checkpoint card excludes non-thinking mode; do not transfer hosted gateway behavior to local weights.

Best for

  • Open-weight deployments
  • Text-only agents
  • Reasoning

Watch out

The August 13 QwenCloud announcement documents the hosted/open-version listing, not the exact weight-publication day. The checkpoint card’s benchmark column is Qwen3.8-Max, so those scores are not inherited here. This text-only checkpoint lacks managed Max’s vision input and non-thinking mode. Low/medium/xhigh default to xhigh; preserve_thinking defaults true. Recommended sampling: temperature=1.0/top_p=0.95/top_k=20. The exact custom licence includes attribution and separate commercial-licensing conditions; read it. A hard output cap remains unverified.

Common questions

Qwen3.8-2.4T-A95B

Answered from the verified figures on this page rather than general guidance.

How much does Qwen3.8-2.4T-A95B cost per million tokens?
Qwen3.8-2.4T-A95B lists base rates of $2 per million input tokens and $6 per million output tokens. Estimate both input and output token volume and any additional charges for your workload. Alibaba Cloud lists the hosted qwen3.8-2.4t-a95b endpoint at $2/$6 per MTok in Singapore International scope; Beijing is $1.65/$4.951. These are hosted regional fees, not self-hosting costs. Native checkpoint context is 262,144, extensible to 1,010,000 with documented serving configuration; the hosted pricing row uses up to 1M input, not a native configuration or output cap. Its pricing row lists both thinking modes, while the downloadable checkpoint card excludes non-thinking mode; do not transfer hosted gateway behavior to local weights.
What is Qwen3.8-2.4T-A95B's context window?
Qwen3.8-2.4T-A95B accepts about 262K tokens of context. That only matters if you routinely send very long documents, large codebases, or multi-turn histories that approach that limit.
What is Qwen3.8-2.4T-A95B best for?
Qwen3.8-2.4T-A95B is a frontier tier from Qwen. It suits open-weight deployments, text-only agents, reasoning. The August 13 QwenCloud announcement documents the hosted/open-version listing, not the exact weight-publication day. The checkpoint card’s benchmark column is Qwen3.8-Max, so those scores are not inherited here. This text-only checkpoint lacks managed Max’s vision input and non-thinking mode. Low/medium/xhigh default to xhigh; preserve_thinking defaults true. Recommended sampling: temperature=1.0/top_p=0.95/top_k=20. The exact custom licence includes attribution and separate commercial-licensing conditions; read it. A hard output cap remains unverified.
Can I self-host Qwen3.8-2.4T-A95B?
Qwen3.8-2.4T-A95B publishes open weights, but self-hosting depends on the licence, hardware footprint, quantisation quality, and serving stack. A hosted API is often cheaper until you have measured throughput and concurrency on your own hardware.