Qwen3.6 Plus
Qwen3.6 Plus is a reasoning model from Qwen released on Mar 30, 2026. It reads text, images and video and writes text, with a 1M token context window and up to 66K tokens per reply.
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It costs $0.50 per million input tokens and $3 per million output tokens. Cached input bills at $0.05, 90% less than fresh input.
It supports tool calling, structured JSON output and prompt caching, and its weights are open, so you can host it yourself.
22 providers serve it, including Together AI, Vercel AI Gateway and Merge Gateway. The lowest input price is $0.276 per million tokens at Merge Gateway.
- Modalities
- In / out price
- $0.50 / $3 per 1M
- Context
- 1M
- Max output
- 66K
- Released
- Mar 30, 2026
- Knowledge cutoff
- Apr 2025
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Qwen3.6 Plus pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.50 / 1M tokens | |
|---|---|---|
| Output | $3 / 1M tokens | |
| Cached input (read) | $0.05 / 1M tokens | 90% off input |
| Cache write | $0.625 / 1M tokens | |
| Prompts over 200K | $2 in, $6 out | long context rate |
| Prompts over 256K | $2 in, $6 out | long context rate |
Qwen3.6 Plus providers
22 providers serve it, including Together AI, Vercel AI Gateway and Merge Gateway. The lowest input price is $0.276 per million tokens at Merge Gateway. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.
| Provider | Input /M | Output /M | Cache read /M | Context | Max output |
|---|---|---|---|---|---|
| Alibaba First party | $0.50 | $3 | $0.05 | 1M | 66K |
| Together AI | $0.50 | $3 | – | 1M | 500K |
| Vercel AI Gateway | $0.50 | $3 | $0.05 | 1M | 64K |
| Merge Gateway | $0.276 | $1.65 | $0.0276 | 1M | 250K |
| AIHubMix | $0.28 | $1.69 | $0.0282 | 991K | 64K |
| 302.AI | $0.30 | $1.80 | – | 1M | 66K |
| CrossModel | $0.32 | $1.88 | $0.032 | 1M | 66K |
| Kilo Gateway | $0.325 | $1.95 | – | 1M | 66K |
| NanoGPT | $0.325 | $1.95 | $0.0325 | 992K | 66K |
| Pioneer | $0.325 | $1.95 | $0.065 | 1M | 64K |
| Alibaba (China) | $0.50 | $3 | $0.05 | 1M | 66K |
| Auriko | $0.50 | $3 | $0.10 | 1M | 66K |
Showing 12 of 22 providers: the lab first, then the major clouds, then the cheapest resellers.
What Qwen3.6 Plus costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call Qwen3.6 Plus through an OpenAI compatible API.
- Tools
tools - Structured outputs
structured_outputs - Reasoning
reasoning - Temperature
temperature
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Qwen3.6 Plus questions
How much does the Qwen3.6 Plus API cost?
$0.50 per million input tokens and $3 per million output tokens, with cached input at $0.05. Prompts over 200K tokens bill at $2 input and $6 output. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of Qwen3.6 Plus?
1,000,000 tokens of input, and it can write up to 65,536 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Which providers serve Qwen3.6 Plus?
22 providers serve it, including Together AI, Vercel AI Gateway and Merge Gateway. The lowest input price is $0.276 per million tokens at Merge Gateway. Prices differ by host, so the Providers table on this page lists each one with its input and output price.
Does Qwen3.6 Plus support tool calling?
Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.
Is Qwen3.6 Plus open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was Qwen3.6 Plus released?
Mar 30, 2026, with training data up to Apr 2025.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on Qwen3.6 Plus?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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