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Model details

Qwen3.8 Max

Alibaba introduced Qwen3.8 Max on August 3, 2026 as the most capable release in the Qwen family to date, positioning it as a flagship foundation model aimed squarely at demanding professional workloads. It is built on the architectural foundation of Qwen 3.5 and scales to 2.4 trillion total parameters with 95 billion active parameters, a mixture-of-experts configuration that the Qwen team highlights as enabling comprehensive improvements across coding, work, research, and long-horizon tasks. The model is designed to take on multi-day, real-world projects from an empty folder through to finished output, producing dependable deliverables through end-to-end task completion rather than isolated single-turn answers.

Qwen3.8 Max operates as a multimodal foundation with native visual intelligence, complementing its text capabilities with image understanding for richer context. At launch, the Qwen team reported strong leaderboard placements, including fifth in Text Arena and second in Vision Arena, alongside improvements in handling extended context for long-running work. The release also marks the first time Alibaba plans to open-source the weights of a Qwen-Max-class model, with the open-weight drop scheduled for the week following the API launch on Qwen Cloud, making this release a notable step toward broader access to a frontier-tier Qwen model.

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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
262,144 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

OpenCode Zen

CoverageBenchmark

MindStudio's overview of the Qwen3.8-2.4T-A95B variant documents the model's specifications and architecture, naming the 2.4-trillion-parameter total with 95 billion active parameters consistent with the Sparse Mixture-of-Experts design published by Alibaba. The page is positioned as a model overview covering architect The page supports developer understanding of the Qwen3.8-Max family by aligning the 2.4T/95B parameter configuration with the public architectural description, and situates the model within the broader Qwen lineup. Coverage stays at the model layer — specs, architecture, and benchmarks — without pivoting to any specifi

OpenCode Zen

CoverageBenchmark

BenchLM.ai's dashboard for Qwen3.8 Max (data as of September 23, 2026) presents a decision snapshot with a capability score of 72/100, ranking the model 13 of 196 in the public cohort and 9 of 71 verified. The page records a 1M-token context window and tracks category-level performance including Agentic (65.7, rank 10 The aggregator also reports a speed measurement of 39 tok/s (field median 91 tok/s) with a first-token latency of 54.03 seconds and notes the model is particularly strong for screenshots, documents, charts, and grounded multimodal workflows per Multimodal & Grounded ranks of 6. With 60 displayable benchmark rows and so

OpenCode Zen

Coverage

Alibaba Cloud's press-room release of August 3, 2026 reproduces the official Qwen3.8-Max launch announcement, confirming 2.4 trillion parameters, a 1M-token context window, and rankings of fifth in Text Arena and second in Vision Arena alongside native multimodal support for visual intelligence. The release documents a The press release adds authoritative media contacts and reiterates the model's fourth-place ranking in Frontend Code Arena, with internal testing reporting an autonomous 16-day software-engineering project run that built a self-evolving agent framework. Functionally duplicative of the Group blog but adds the creator's

OpenCode Zen

Coverage

Alibaba Cloud Community's blog post mirrors the official Qwen3.8-Max launch announcement of August 3, 2026 from Hangzhou, China, detailing 2.4 trillion total parameters, 1M-token context, fifth-place Text Arena and second-place Vision Arena rankings, and native multimodal support including visual intelligence. The arch The post emphasizes frontier capabilities in autonomous coding and long-horizon execution, noting a fourth-place Frontend Code Arena ranking and an internal test where the model autonomously executed a real-world software engineering project over a 16-day period to build a self-evolving agent framework. The coverage is

OpenCode Zen

Coverage

Alibaba Group's official announcement of August 3, 2026 introduces Qwen3.8-Max as the most powerful model in the Qwen series to date, specifying 2.4 trillion parameters, a 1M-token context window, and rankings of fifth in Text Arena and second in Vision Arena. The post describes a Sparse Mixture-of-Experts architecture The announcement highlights frontier-level capabilities in autonomous coding and long-horizon execution, with a fourth-place ranking in Frontend Code Arena, and reports that in internal testing the model autonomously executed a real-world software engineering project over a 16-day period by establishing a self-evolving

OpenCode Zen

CoverageBenchmark

AI Release Tracker's entry for Qwen3.8-Max documents the model's release by Qwen on August 3, 2026, as a 2.4-trillion-parameter model with a 1M-token context window. The page compiles benchmark results across BullshitBench v2, PaperBench, OSWorld-Verified, BabyVision, SWE-Bench Pro, DeepSWE 1.1, and additional suites, The tracker explicitly names the base Qwen3.8-Max release rather than a later snapshot, and positions the model 63 days after Qwen3.7-Plus, giving temporal context within the Qwen release cadence. By aggregating coding, agentic, and repository-level benchmarks with per-test cohort context (e.g., SWE-Bench Pro ranked 5

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