Qwen: Qwen3.6 35B A3B
Analysis Summary
Qwen3.6 35B A3B is a mixture-of-experts model from Qwen with an intelligence index of 31.6, a coding index of 41.9, and an agentic index of 65.1. It supports tool use, function calling, and vision, with a 262K context window and video input capability. Instruction following (ifbench 0.64) and long-context reasoning (lcr 0.64) are strong for this tier, and the tau2 score of 0.953 indicates reliable task completion.
The combination of strong agentic performance, broad modality support, and a large context window makes this model well suited to autonomous coding agents, long-document analysis, and multi-step tool-use pipelines. Vision and video input add value for businesses processing mixed media. The main limitation is that its intelligence index sits in the good-but-not-frontier range, so it will not match top-tier models on the hardest reasoning tasks.
At $0.14/1M input and $1/1M output, it offers strong price-performance for a model with this breadth of capability. Teams needing a versatile, agentic-capable model without flagship pricing will find it a practical choice.
Assessed June 30, 2026
Editorial notes
Qwen3.6 35B A3B from Qwen pairs a coding index of 41.9 and agentic index of 65.1 with tool use, function calling, and vision support across a 262K context window, at competitive pricing for its capability tier.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen3.6 35B A3B compares
Qwen: Qwen3.6 35B A3B ranks #71 of 385 AI models we track for overall intelligence, #45 of 129 for coding, #41 of 293 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $0.14 per million input tokens it is cheaper than 58% of comparable models.
About Qwen: Qwen3.6 35B A3B
Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3.6 35B A3B stack up?
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Model Information
| OpenRouter ID |
qwen/qwen3.6-35b-a3b
|
| Provider | qwen |
| Release Date | April 27, 2026 |
| Context Length | 262,144 tokens |
| Max Completion | 262,144 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.14 | $0.000140 |
| Output | $1.00 | $0.001000 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Frequently asked questions about Qwen: Qwen3.6 35B A3B
How much does Qwen: Qwen3.6 35B A3B cost?
Qwen: Qwen3.6 35B A3B costs $0.14 per million input tokens and $1.00 per million output tokens.
What is the context window of Qwen: Qwen3.6 35B A3B?
Qwen: Qwen3.6 35B A3B has a context window of 262,144 tokens (262K).
Is Qwen: Qwen3.6 35B A3B good for coding?
On our coding benchmark index, Qwen: Qwen3.6 35B A3B ranks #45 of 129 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen: Qwen3.6 35B A3B do?
Qwen: Qwen3.6 35B A3B supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.6 35B A3B?
Qwen: Qwen3.6 35B A3B is developed by Qwen and was released on April 27, 2026.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 30, 2026 9:37 pm