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Qwen3.8 Max

Alibaba's Qwen3.8 Max is the general-availability flagship of the Qwen3.8 series, succeeding the earlier Preview release and positioned as a multimodal reasoning model built for complex reasoning, visual understanding, coding, and agentic workflows. It runs on a Mixture-of-Experts-style architecture with 2.4T total parameters and 95B active parameters, paired with a 1M-token context window that lets it handle very long documents and multi-step agent tasks in a single session. Alibaba released it through QwenCloud with an API-first rollout, and open weights were promised for shortly after launch, giving teams both a hosted path and a near-term self-hosted option.

In practice the model is aimed at workloads where depth of reasoning and long context matter more than minimal latency, including codebase-scale analysis, multi-document research, and tool-using agents that chain many steps together. The very wide context window makes it well suited to ingesting entire repositories, transcripts, or knowledge bases without aggressive truncation, while the active-parameter footprint keeps inference economical relative to its total capacity. Teams evaluating it should benchmark their low, medium, and xhigh reasoning settings against the published rates once Alibaba documents them, since prior Qwen3.7-Max pricing does not automatically carry over and cost per accepted task is the practical comparison point against other frontier APIs.

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

Cost

Input token cost
$1.69
Output token cost
$5.07

Limits

Output tokens
128,000 tokens
Context window
991,000 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

AIHubMix

CoverageBenchmark

Shattered.io reports that Alibaba's Qwen3.8-Max is a 2.4-trillion-parameter mixture-of-experts model with 95 billion active parameters, initially deployed via the QwenCloud API on August 2, 2026, and subsequently open-sourced as Qwen3.8-2.4T-A95B on Hugging Face and ModelScope on August 13, 2026, under an Apache 2.0 li The article positions Qwen3.8-Max within the late-summer 2026 frontier-model wave (OpenAI, Anthropic, and Google all shipping nearby) and emphasizes the significance of full-weight availability as a counter-trend to closed-API consolidation. The piece also notes external confirmation of the release cadence, referencing

AIHubMix

Coverage

Alibaba's Qwen team released Qwen3.8-Max-0902 (alias qwen3.8-max-2026-09-02) on September 1, 2026, as an upgraded snapshot of the 2.4-trillion-parameter flagship, further post-trained on coding and collaborative agent ("Coding & Cowork") work. The 1M context window, thinking mode, and tool ecosystem were retained, and The 0902 snapshot introduces differentiated caching economics: $0.25 per million on implicit cache hits, $0.17 on explicit cache reads, and $2.50 per million for explicit cache creation. Benchmark comparisons show Claude Opus 5 still ahead on TerminalBench, DeepSWE, NL2Repo, ProgramBench, SWE-Marathon, CoWorkBench, Job

AIHubMix

CoverageBenchmark

CodeOxi profiles Qwen3.8-Max as Alibaba's 2.44-trillion-parameter sparse Mixture-of-Experts model launched on August 3, 2026 after a July 19 preview, activating roughly 95 billion parameters per token with a 1 million-token context window and up to 128k output tokens. It reports 86.6 on Terminal-Bench 2.1 and 93.0 on P The explainer highlights a key practical caveat: open weights at 2.4T parameters do not equate to open deployability, as the model does not fit on a workstation, an 8xH100 node, or most single-rack inference deployments. For most teams, the practical decision remains API-vs-API rather than self-hosting, with the open-w

AIHubMix

CoverageRelease Notes

Alibaba's Qwen team released Qwen3.8-Max to general availability on August 3, 2026, following a mid-July 2026 preview, making the new flagship available through QwenCloud and Alibaba Cloud Model Studio ahead of an open-weights release scheduled for the following week. Qwen3.8-Max is a 2.4 trillion-parameter Mixture-of- Pricing for Qwen3.8-Max on the hosted API is set at $2.00 per million input tokens and $6.00 per million output tokens, paired with the 1 million token context window and native multimodal inputs. This release marks Alibaba's return to open-sourcing its top-tier models after keeping several 2026 flagship releases propr

AIHubMix

CoverageBenchmark

The AI Rankings lists Qwen3.8-Max as Alibaba's flagship Qwen release on August 3, 2026, after a July 19 preview. It is a 2.4-trillion-parameter mixture-of-experts reasoning model with a 1-million-token context window (991K input, 131K output, up to 262K reasoning budget) and multimodal input support for text, image, an The profile notes two notable launch dynamics: aggressive pricing at $2 input / $6 output per million tokens, landing three days after OpenAI cut its GPT-5.6 Terra tier to $2/$12, and a commitment to release the full 2.4T model plus a smaller Qwen3.8-27B as open weights the following week, which would make it the first

AIHubMix

CoverageBenchmark

The AI Release Tracker lists Qwen3.8-Max as a Qwen release dated Monday, August 3, 2026, arriving 63 days after Qwen3.7-Plus. It is documented as a 2.4-trillion-parameter model with a 1M token context window, with benchmark coverage spanning BullshitBench v2, PaperBench, OSWorld-Verified, BabyVision, SWE-Bench Pro, Dee Reported benchmark results include PaperBench at 93% for research reproduction, SWE-Bench Pro at 67.7% (5th of 23, behind Claude Fable 5.1's 81.2%), DeepSWE 1.1 at 56.6% (16th of 26, behind Muse Spark 1.3's 75.4%), NL2Repo-Bench at 55.9% (4th of 6, behind DeepSeek-V4.1-Flash's 65.4%), and a QwenSWEBench V2 row for soft

AIHubMix

Coverage

Alibaba officially announced Qwen3.8-Max on August 3, 2026, describing it as the most powerful model in its Qwen series to date. It features 2.4 trillion parameters, supports a context window of up to 1 million tokens, and operates as a multimodal foundation with native visual intelligence. At launch, Qwen3.8-Max ranke Qwen3.8-Max is built on the foundation of Qwen 3.5 using a Sparse Mixture-of-Experts architecture paired with a hybrid attention mechanism, activating only 95 billion of its 2.4 trillion parameters per token to balance scale with inference efficiency. It ranks fourth on the Fronted Code Arena and demonstrates strong au

AIHubMix

CoverageBenchmark

BenchLM.ai publishes a third-party benchmark and capability dashboard specifically titled for Qwen3.8 Max, confirming tracked evidence for the exact subject model name. Verified coverage spans agentic (15/15), coding (12/12), reasoning (2/2), knowledge (6/6), and multimodal (24/24) categories, with math and multilingua The dashboard also notes multimodal strength (rank 5 overall, particularly for screenshots, documents, charts, and grounded multimodal workflows) while flagging that no comparable first-party API token rate is published and that 60 of the tracked benchmark rows remain empty. Because this is a third-party aggregator rat

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