Qwen: Qwen3.6 35B A3B
Analysis Summary
Qwen3.6 35B A3B is a benchmarked multimodal Qwen model with text, image, and video input, a 262K context window, tool use, and function calling. Its coding results are substantially stronger than its general intelligence score, and instruction following, long-context handling, and tool-task accuracy support practical structured workflows.
It is well suited to code assistance, SEO production, document transformation, visual content analysis, and automation where a low token cost matters. The weaker agentic index indicates that autonomous multi-step tasks need tighter orchestration, explicit checks, and fallback handling. It is not a first choice for the hardest reasoning or high-stakes open-ended research.
Adopt it as a cost-efficient secondary model for coding and production content pipelines. Its combination of capability, modality, and pricing makes it particularly attractive for high-volume workloads with defined acceptance tests.
Assessed August 23, 2026
Editorial notes
Qwen3.6 35B A3B combines strong coding, instruction following, multimodal input, and tool calling with low pricing, while its agentic reasoning remains below flagship level.
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 coding, instruction following, multimodal input, and tool calling with low pricing, while its agentic reasoning remains below flagship level.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
32.1 Intelligence Index·41.9 Coding Index·21.6 Agentic Index
How Qwen: Qwen3.6 35B A3B compares
Qwen: Qwen3.6 35B A3B ranks #112 of 429 AI models we track for overall intelligence, #90 of 202 for coding, #85 of 184 for agentic tasks. Its 262K-token context window is larger than 72% of the models we list. At $0.10 per million input tokens it is cheaper than 69% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.90 | $0.000900 |
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 720 models → 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..
Frequently asked questions about Qwen: Qwen3.6 35B A3B
How much does Qwen: Qwen3.6 35B A3B cost?
Qwen: Qwen3.6 35B A3B costs $0.10 per million input tokens and $0.90 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 #90 of 202 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.