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Last scan 2026-08-15 Models tracked 205 Providers 31 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Qwen3.8-2.4T-A95B

by Alibaba · 2.4T (A95B) parameters

Current new · 7d open weights open weights mid tier
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Today's price · per 1M tokens

Input

$2.00

per 1M tokens

Output

$6.00

per 1M tokens

Blended

$3.00

blended $/1M — 3:1 weighted input:output

Source: official Alibaba pricing · read Aug 15, 2026 MODELPRICEWATCH.COM · 2026-08-15

Price receipt

We read Alibaba's own pricing page on Aug 15, 2026 and found qwen3.8-2.4t-a95b listed with a price on the same row — that read is where the number above comes from, recorded as a new model. We keep the page text we read; its content hash is ee2e068218.

Overview

The open-weights sibling of Alibaba's Qwen3.8 flagship — a 2.4T-parameter mixture-of-experts model with 95B active parameters, served by Alibaba itself on Model Studio at $2.00/$6.00 per 1M tokens, the same rate as the proprietary Qwen3.8-Max SKU. Text in, text out, with thinking and non-thinking modes billed alike. The weights were published on 2026-08-08 in Qwen's own Hugging Face org, and Alibaba's hosted 1M-context SKU appeared on its Model Studio rate card between 2026-08-12 and 2026-08-15.

Run it yourself

Deploy this open model on rented GPUs

Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.

RunPod →
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Novita AI →
Serverless open-model inference billed per token — no GPU ops.
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GPU marketplace — rent spot/on-demand GPUs cheaply and serve any open-weight model.

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Capabilities

struck through = not supported
Input 1/5
Text ✓ Image Audio Video PDF
Output 1/5
Text ✓ Image Audio Video Embedding
Features 2/9
Prompt caching Reasoning Coding Fast inference Long context ✓ Open weights ✓ Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 87.8th3 independent measurements
Percentile per $/Mtok 29.3

We hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.

Independent composite scores
  • AA Intelligence Index: 57.7 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA Agentic Index: 57.1 (Tool use, planning, autonomy)
  • AA-Omniscience Index: 4.3 (−100–100)
How it stacks up
  • Ranks #7 of 155 comparably-measured models by percentile score, across 3 independent measurements
  • Ranks #92 of 155 comparably-tested models by normalized performance per dollar

Source: Artificial Analysis · updated Aug 15, 2026 · See full rankings →

Specifications

Provider
Alibaba
Context window
1M tokens
Modality
text
Parameters
2.4T (A95B)
Open source
Yes — open weights available
Released
Aug 8, 2026
Status
Current
Last updated
Aug 15, 2026
Tags
open-weightsmoe

Availability verified: Aug 15, 2026 — listed on Alibaba's own page

Try on Alibaba Official pricing page