Qwen 3.6 Plus uses a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing for scalable, high-performance inference. Compared to the 3.5 series, it improves agentic coding, front-end development, overall reasoning, and vibe coding. It handles complex tasks such as 3D scenes, games, and repository-level problem solving, with a score of 78.8 on SWE-bench Verified. It improves both text-only and multimodal abilities and performs on par with leading models.
$0.163market price $0.325
$0.0325
$0.975market price $1.95
Throughput is how fast the model writes (tokens per second, higher is better). Time to first token is how long before the answer starts (lower is better).
Share of requests served without a server error. Client errors (4xx) do not count.
Not enough throughput data
Not enough TTFT data
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
Qwen 3.6 Plus uses a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing for scalable, high-performance inference. Compared to the 3.5 series, it improves agentic coding, front-end development, overall reasoning, and vibe coding.
On NagaAI, Qwen3.6 Plus costs $0.163 per 1M input tokens and $0.975 per 1M output tokens. You pay only for what you use, with no subscription.
Qwen3.6 Plus reads up to 1M tokens in one request, counting the prompt and the answer together.
Yes. Qwen3.6 Plus can call your functions as tools and can answer in a JSON schema you give it.
It takes text and images as input and returns text.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.