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Model details

Qwen3.8 Max

Qwen3.8 Max is the flagship release in the Qwen3.8 series, positioned by its creators as the most capable member of the Qwen family to date and notable as the first Qwen-Max-class model whose weights will be open-sourced. It is built on the architectural foundation of Qwen 3.5 and scales to 2.4 trillion total parameters with 95 billion active, a Mixture-of-Experts style configuration that aims to deliver broad capability while keeping inference compute manageable. The release post frames the model as a multimodal reasoning system intended for complex reasoning, visual understanding, coding, and agentic workflows, marking a general-availability step beyond the earlier Qwen3.8 Max Preview.

The model's intended workload centers on long-horizon, end-to-end task completion rather than isolated prompt answering. According to the Qwen team's announcement, Qwen3.8 Max is designed to take multi-day coding and research projects from an empty folder to a finished deliverable with greater reliability, producing dependable results across coding, work, and research scenarios. OpenRouter's listing reinforces this practical profile by categorizing it for complex reasoning, coding, and agentic workflows, while reporting hosted availability through Alibaba Cloud at a price point of two dollars per million input tokens and six dollars per million output tokens, making it suitable for teams that need a frontier-class reasoning engine behind production pipelines and autonomous tool-using agents.

Vancineqwen3.8-maxqwen

Quick Info

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

Cost

Input token cost
$1.60
Output token cost
$4.80

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

Vancine

CoverageBenchmark

Shattered.io reports that Qwen3.8-Max is a 2.4-trillion-parameter mixture-of-experts model with 95 billion active parameters per forward pass, first available via Alibaba's QwenCloud API on August 2, 2026, followed by the open-weight release packaged as Qwen3.8-2.4T-A95B on Hugging Face and ModelScope on August 13, 202 The same article situates Qwen3.8-Max within a crowded September 2026 frontier-model release window and describes the Apache 2.0 open-weight decision as a notable counterpoint to API-gated frontier labs. It cites upstream sources including Alibaba's Qwen.ai blog, Latent.Space coverage from August 3, and a CheapestInfer

Vancine

Official sourceBenchmark

Vancine published a first-party Pi coding-agent benchmark run on August 28, 2026 that exercised eight Chinese AI models through its OpenAI-compatible endpoint, including qwen3.8-max. The methodology used a single isolated bug-fix task — repairing a JavaScript leap-year check so that three existing tests passed without The report is explicitly framed as one run of one task and not a ranking of overall model quality, so its value is as concrete provider-sourced operational data rather than a capability benchmark. It confirms that qwen3.8-max is live, billable, and routable through Vancine's https://vancine.com/v1 endpoint for coding-a

Vancine

Coverage

Alibaba officially announced Qwen3.8-Max on August 3, 2026, describing it as the largest and most capable model in its Qwen series to date. The model is a multimodal foundation that natively supports visual intelligence and is positioned for coding, real-life work, research, and long-horizon tasks. According to the ann Built on the Qwen 3.5 base, Qwen3.8-Max uses a sparse Mixture-of-Experts architecture with a hybrid attention mechanism, totaling 2.4 trillion parameters while activating only 95 billion per pass. This design is intended to balance massive scale with inference efficiency, reducing compute and latency versus comparably

Vancine

CoveragePreview

An EvoLink blog post (published July 21, 2026 and updated August 3, 2026) summarizes the qwen3.8-max release status on QwenCloud, describing it as a flagship Qwen3.8 generation model with a 1M-token context window, native vision-language capability, hybrid thinking enabled by default, Function Calling with built-in too The article flags that its own URL retains a historical "preview-features" slug and instructs developers to take the callable ID and live pricing from EvoLink's product page and to run an account-level smoke test before sending production traffic, acknowledging documentation drift between the article path and the produ

Vancine

CoverageBenchmark

BenchLM.ai's compiled dashboard for Qwen3.8 Max reports an overall capability score of 73.3/100 with strong category-level performance: Agentic at rank 9 of 154 (95th percentile, 15 verified benchmarks), Coding at rank 21 of 156 (87th percentile, 12 verified benchmarks), Multimodal at rank 5 of 49 (92nd percentile, 24 The BenchLM page describes Qwen3.8 Max as particularly strong for screenshots, documents, charts, and grounded multimodal workflows, ranking 5th in the multimodal category among 49 tracked models. It also states that 60 published benchmark rows leave some tracked benchmark slots empty, limiting full coverage. No Vancin

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