Qwen3.6 Plus
by Qwenqwen/qwen3.6-plus
LLMCompare cannot run Qwen3.6 Plus yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowQwen3.6 Plus at a glance
- Context length
- 1,000,000 tokens
- Maximum output
- 65,536 tokens
- Accepts
- Text, Image, Video
- Returns
- Text
- Features
- JSON outputTool callingImage input
- Reasoning effort levels
- Not supported
- Released
- 2 Apr 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 21 Oct 2026.
Qwen3.6 Plus pricing by route
A route is the service LLMCompare calls to reach the model. Qwen3.6 Plus has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache writeper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $0.325 | $1.95 | $0.4063 | openrouter.ai/qwen/qwen3.6-plus |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to Qwen3.6 Plus costs. The starting numbers are examples. Change them to match your task.
- Cost per call
- $0.0013
- 2 credits
- Cost of 100 calls
- $0.13
- 200 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 65,536 | Provider default |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About Qwen3.6 Plus
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...
Description as published for this model. LLMCompare has not edited it.
Models to compare with Qwen3.6 Plus
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
Qwen3.6 27BQwenqwen/qwen3.6-27b | 262k | 65.5k | $0.25 | $2.00 | JSONToolsCacheVision | No route yet | ||
Qwen3.5-122B-A10BQwenqwen/qwen3.5-122b-a10b | 262k | 65.5k | $0.26 | $2.08 | JSONToolsVision | No route yet | ||
Qwen3.5-27BQwenqwen/qwen3.5-27b | 262k | 65.5k | $0.27 | $2.16 | JSONToolsCacheVision | No route yet | ||
Seed-2.0-LiteByteDance Seedbytedance-seed/seed-2.0-lite | 262k | 131k | $0.25 | $2.00 | ReasoningJSONToolsVision | No route yet | ||
GPT-5.1-Codex-MiniOpenAIopenai/gpt-5.1-codex-mini | 400k | 128k | $0.25 | $2.00 | ReasoningJSONToolsCacheVision | No route yet | ||
GPT-5 MiniOpenAIopenai/gpt-5-mini | 400k | 128k | $0.25 | $2.00 | ReasoningJSONToolsCacheVision | No route yet |
Questions about Qwen3.6 Plus
- How much does Qwen3.6 Plus cost?
- On the OpenRouter route, Qwen3.6 Plus costs $0.325 per 1 million input tokens and $1.95 per 1 million output tokens, in US dollars. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of Qwen3.6 Plus?
- Qwen3.6 Plus has a context length of 1,000,000 tokens and returns up to 65,536 output tokens in one call.
- What inputs does Qwen3.6 Plus accept?
- Qwen3.6 Plus accepts these inputs: Text, Image, Video. Qwen3.6 Plus returns: Text.
- Can I test Qwen3.6 Plus on my own data?
- Not yet. LLMCompare lists the prices and parameters of Qwen3.6 Plus, but no route to Qwen3.6 Plus is configured on LLMCompare, so it cannot be selected for an evaluation.