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Qwen3.6 Max Preview

Qwen3.6 Max Preview is a preview-tier member of the Qwen family of language models, surfaced to the public through a Qwen.ai blog post titled "Smarter, Sharper, Still Evolving" that drew significant attention on Hacker News. The preview designation suggests the model is an intermediate release intended to give developers an early look at upcoming Qwen capabilities before a finalized version, while its placement under the Qwen brand points to a lineage of general-purpose large language models aimed at reasoning and instruction-following workloads.

Independent hands-on evaluation offers the only substantive signal about real-world performance, with one Towards AI comparison by Chew Loong Nian testing Qwen3.6 Max Preview against Claude Opus 4.7 and GPT-5.4 across 20 practical coding tasks. Despite marketing positioning that highlighted leading placements on six benchmarks, the preview reportedly lagged its rivals on these applied coding exercises, hinting that benchmark strength has not yet translated into consistent real-world engineering wins. For practitioners, this preview is best treated as an early checkpoint in Qwen's iteration cycle rather than a stable production target.

Ofoxbailian/qwen3.6-max-previewqwen

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Provider
Ofox
Model key
bailian/qwen3.6-max-preview
Release date
Apr 20, 2026
Last updated
Apr 20, 2026
Knowledge cutoff
2025-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$2.15
Output token cost
$12.86

Limits

Output tokens
65,536 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 Qwen3.6 Max Preview

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CoveragePreview

The BigGo News mirror of the same launch coverage confirms Alibaba's April 20, 2026 announcement of Qwen3.6-Max-Preview as an early preview flagship, with interactive access through Qwen Studio and forthcoming API availability on Aliyun Bailian as "qwen3.6-max-preview." It repeats the claim that the model achieved the It restates the same Alibaba-cited benchmark improvements versus Qwen3.6-Plus in agent programming, world knowledge, and instruction following, including SkillsBench +9.9, SciCode +10.8, Terminal-Bench 2.0 +3.8, NL2Repo +5.0, SuperGPQA +2.3, QwenChineseBench +5.3, and ToolcallFormatIFBench +2.8. The piece is labeled AI

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