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Model details

Qwen3.8 Max

Qwen3.8-Max is the current flagship of the Qwen family, positioned by its developers as a step up for coding, research, and long-running agent tasks rather than a routine refresh. Built on the architectural foundation of Qwen 3.5, it scales to 2.4 trillion total parameters with 95 billion active in a Mixture-of-Experts design, and the release post frames the model around one idea: taking real multi-day projects from an empty folder to a finished result on its own. The the cataloged API limit context window, hybrid thinking enabled by default, and structured output support make it well suited to workloads that mix large document analysis, tool use, and iterative code generation in a single session.

For teams evaluating it in production, Qwen3.8-Max is most interesting where reliability on long-horizon tasks matters more than single-turn latency, such as autonomous coding agents, multi-step research pipelines, and document-heavy reasoning jobs that benefit from the the cataloged API limit. The official announcement highlights end-to-end task completion and "dependable deliverables" as the practical differentiator, and the model is distributed through QwenCloud with third-party access points exposing the qwen3.8-max identifier. Qwen also indicated that the weights for this Max-class model would be released openly shortly after launch, an unusual move for the lineup that lowers the barrier for self-hosting and fine-tuning once those checkpoints become available.

OpenCode Goqwen3.8-maxqwen3.8-max

Quick Info

Powered by
Provider
OpenCode Go
Model key
qwen3.8-max
Release date
Aug 3, 2026
Last updated
Aug 3, 2026
AI SDK package
@ai-sdk/anthropic
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

Latest news about Qwen3.8 Max

OpenCode Go

CoverageBenchmark

Qwen3.8-Max debuted under the headline "A New Bar for Coding and Cowork" on Alibaba's Qwen.ai blog, positioning the model at software engineering and multi-step agent tasks rather than general chat. The architecture is a sparse mixture-of-experts design: 2.4 trillion total parameters, with only 95 billion active on any The open-weight variant was packaged as Qwen3.8-2.4T-A95B and shipped under an Apache 2.0 license, marking one of the sharper examples of open source pushing back against closed labs in a crowded September for frontier AI launches. The article frames the release against concurrent OpenAI, Anthropic, and Google model dr

OpenCode Go

Official sourceDocumentation

OpenCode Go is a $10/month subscription tier that bundles a curated set of open coding models behind a single API key, designed primarily for international users who need stable, low-latency global access. The official OpenCode documentation explains that the provider team tested selected open models, worked with servi The current OpenCode Go model lineup explicitly includes Qwen3.8 Max alongside Qwen3.8 Flash, Qwen3.7 Max, Qwen3.7 Plus, and Qwen3.6 Plus, plus competitors such as Grok 4.6, GLM-5.x variants, Kimi K2.7/K2.6/K3, DeepSeek V4 Pro/Flash variants, MiMo-V2.5/Pro, LongCat-2.0, MiniMax M3/M2.7, Muse Spark 1.2 Contributor, and

OpenCode Go

CoverageBenchmark

BenchLM's dashboard for Qwen3.8 Max aggregates 60 published benchmark rows across agentic (15/15 verified), coding (12/12 verified), reasoning (2/2 verified), knowledge (6/6 verified), and multimodal (24/24 verified) categories, with math and multilingual coverage not measured. The model ranks 9th of 154 in the agentic The dashboard reports a capability score of 71.8/100, a context window of 1M tokens, and a first-token speed of 51.78s, while explicitly noting that no comparable first-party API token rate is published and that some tracked benchmark slots remain empty. Qwen3.8 Max ranks 10th of 233 tracked models on the catalog with

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