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Model details

Qwen3.8 Max

Qwen3.8-Max is positioned by its creators as the most capable entry in the Qwen line to date, built on the architectural foundation of Qwen 3.5 and scaled to 2.4 trillion total parameters with 95 billion active at inference. It was officially released through Qwen's blog on the same day it became available via QwenCloud, and it is also the first Qwen-Max-class model whose weights are slated to be open-sourced, with the open release promised for the week following the announcement. Practically, the model is framed as a system for taking on complex, multi-day projects rather than answering one-off prompts, with the launch messaging emphasizing end-to-end execution of coding, research, and long-horizon tasks and producing dependable deliverables.

Independent coverage of the preview helps frame how the model is being received: the 2.4 trillion parameter figure was first unveiled at the World AI Conference in Shanghai a couple of weeks before the public release, and observers at that stage noted zero benchmarks had been published and no model card, license, or active-parameter count was disclosed alongside the claim. The launch was characterized as one of the boldest capability assertions from a Chinese lab that year, with vendors claiming a ranking just behind a leading Western frontier model. For practitioners, Qwen3.8-Max is best understood as a heavyweight, reasoning-oriented system aimed at ambitious coding and research workflows, with its open-weight availability serving as the key proof point still to be delivered.

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Quick Info

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Provider
Abacus
Model key
qwen3.8-max
Release date
Aug 3, 2026
Last updated
Aug 3, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$2.00
Output token cost
$6.00

Limits

Output tokens
131,072 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Qwen3.8 Max

Abacus

CoverageBenchmark

Alibaba's Qwen team open-sourced the Qwen3.8-Max flagship model, releasing the full weights as Qwen3.8-2.4T-A95B on Hugging Face and ModelScope on August 13, 2026, just over a week after the API debut on QwenCloud on August 2, 2026. A dense sibling, Qwen3.8-27B, followed with its own open weights on August 14. The rele The model is a sparse mixture-of-experts architecture with 2.4 trillion total parameters and 95 billion active parameters per forward pass, a design choice that makes self-hosting feasible for teams with substantial but not hyperscale infrastructure. The open-weight release lands amid a crowded September 2026 frontier

Abacus

Coverage

CellCog's analysis covers the September 1, 2026 release of Qwen3.8-Max-0902 (API ID qwen3.8-max-0902, alias qwen3.8-max-2026-09-02), described as an upgraded snapshot of Alibaba's Qwen3.8-Max with the same 2.4T-parameter base and 1M context window. The model was further post-trained on coding and collaborative agent wo Pricing remained unchanged from Qwen3.8-Max: $2 per million input tokens, $6 per million output tokens, with cache reads at $0.25 per million on implicit cache hits and $0.17 on explicit cache reads, plus explicit cache creation at $2.50 per million. The article notes that Qwen's own benchmark table shows Claude Opus 5

Abacus

CoverageBenchmark

DataCamp's coverage documents the September 2, 2026 release of Qwen3.8-Max-0902, an in-place post-training upgrade to Alibaba's Qwen3.8-Max. The article confirms the architecture is unchanged at 2.4 trillion parameters with a 1M token context window, and pricing remains at $2 per million input tokens and $6 per million The piece reports benchmark improvements versus Qwen3.8-Max across all eight coding benchmarks, with TerminalBench 3.0 more than doubling from 11.3 to 29.0 and ProgramBench Almost Solved jumping from 10.5 to 28.0. Qwen3.8-Max-0902 leads Claude Opus 5 on MLS-Bench-Lite, SWE-Atlas QnA, QwenSWEBench V2, WorkArena, and bot

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