Qwen: Qwen3.6 35B A3B
Analysis Summary
Qwen3.6 35B A3B pairs a capable coding score with a strong agentic index, backed by tool use, function calling, and vision support across a 262K token context window. This breadth of capability makes it a versatile mid-tier option.
Businesses can deploy it for multi-step agent workflows, moderate coding tasks, document review, and image-aware assistance where budget matters. It falls short of frontier models on raw reasoning depth, so the hardest analytical work is better handled elsewhere.
Pricing is competitive for the capability on offer, making it a reasonable choice for automation pipelines that need tool-calling reliability without premium costs.
Assessed July 10, 2026
Editorial notes
Qwen3.6 35B A3B combines strong agentic reliability with solid coding performance, tool use, function calling, vision, and a 262K context window at low cost.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.6 35B A3B combines strong agentic reliability with solid coding performance, tool use, function calling, vision, and a 262K context window at low cost.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
31.6 Intelligence IndexĀ·41.9 Coding IndexĀ·65.1 Agentic Index
How Qwen: Qwen3.6 35B A3B compares
Qwen: Qwen3.6 35B A3B ranks #81 of 393 AI models we track for overall intelligence, #56 of 157 for coding, #32 of 300 for agentic tasks. Its 262K-token context window is larger than 80% of the models we list. At $0.14 per million input tokens it is cheaper than 59% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.14 | $0.000140 |
| Output | $1.00 | $0.001000 |
What would Qwen: Qwen3.6 35B A3B cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 612 models ā Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3.6 35B A3B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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..
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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 #56 of 157 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.
