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Model details

Qwen3.6 Plus

Qwen3.6 Plus is Alibaba's flagship Plus-tier model in the Qwen 3.6 generation, built on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing to balance scalability with high-throughput inference. Compared to the prior Qwen 3.5 series, it delivers major gains in agentic coding, front-end development, and overall reasoning, with particular strength in repository-level problem solving and complex creative tasks such as 3D scenes and games. On the SWE-bench Verified coding evaluation it reaches a score of 78.8, positioning it at the level of leading state-of-the-art systems for software engineering work.

The model is positioned as a foundation for real-world agents, with sharper multimodal perception that lets it reason more accurately over images and video alongside text. It runs as a proprietary hosted service through the Qwen and Alibaba Cloud Model Studio APIs, retaining the family's long-context design while emphasizing reliability and stability improvements gathered from earlier Qwen Plus deployments. This focus on consistent multi-step execution makes Qwen3.6 Plus a practical fit for production coding agents, long-horizon research assistants, and multimodal applications where reasoning depth and agentic behavior matter more than raw chat performance.

LLMTRqwen/qwen3.6-plusqwen

Quick Info

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Provider
LLMTR
Model key
qwen/qwen3.6-plus
Release date
Apr 2, 2026
Last updated
Apr 2, 2026
Knowledge cutoff
2025-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.50
Output token cost
$3.00

Limits

Output tokens
65,536 tokens
Context window
1,000,000 tokens

Transparent token rates

Compare Qwen3.6 Plus pricing

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 Plus

LLMTR

CoverageBenchmark

Roboflow's Playground page describes Qwen3.6 Plus as a flagship closed-source model in Alibaba's Qwen Plus series, with a 1M-token context window and up to 65,536 output tokens, available as a hosted API through Alibaba Cloud. It frames the model as aimed at agentic workflows, coding, and multi-step reasoning, noting i The page also exposes concrete vision-eval numbers: a 68.66% pass rate across 67 visual understanding tasks (ranking 25 of 77) and 58.52% across 229 OCR tasks (49 of 58), at an average per-task cost of $0.0005 and latency around 29.81s, with the OCR suite flagged as legacy. Roboflow further reports 38 live inferences o

LLMTR

CoverageBenchmark

OpenRouter's listing for `qwen/qwen3.6-plus` confirms Qwen 3.6 Plus as a hosted, proprietary Alibaba model with a 1M-token context window, released on April 2, 2026, and priced at $0.325 per 1M input tokens and $1.95 per 1M output tokens. The page describes the architecture as a hybrid combining efficient linear attent On the operational side, OpenRouter shows the model is served by a single upstream provider (Alibaba Cloud International) with reported P50 throughput of 39 tokens per second, P50 latency of 0.82s, and 100% uptime over the displayed window, and it provides weighted-average effective prices of roughly $0.3798/M input an

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