---
id: "qwen/qwen3.6-plus"
also: ["qwen/qwen3.6-plus-04-02", "requesty/alibaba/qwen3.6-plus", "vercel/alibaba/qwen3.6-plus"]
cheapest_list_usd_per_m: "0.325 in, 1.95 out, at alibaba on openrouter"
cheapest_effective_usd_per_m: "0.3089 in, 1.9494 out, at alibaba on openrouter"
context: 1000000
max_output: 65536
input: ["text", "image", "video"]
output: ["text"]
released: "2026-04-02"
api: ["/api/v1/chat/completions", "/api/v1/completions", "/api/v1/messages", "/api/v1/responses"]
params: ["frequency_penalty", "include_reasoning", "logprobs", "max_tokens", "presence_penalty", "reasoning", "response_format", "seed", "stop", "structured_outputs", "temperature", "tool_choice", "tools", "top_k", "top_logprobs", "top_p"]
endpoints: 4
gateways: "vercel (2), openrouter (1), requesty (1)"
no_training: 4
trains: 0
retains_prompts: 1
coding: 54.5000
---
# Qwen: Qwen3.6 Plus

The Qwen3.6 native vision-language Plus series models demonstrate exceptional performance on par with the current state-of-the-art models, with a significant improvement in overall results compared to the 3.5 series. The models have been markedly enhanced in code-related capabilities such as agentic coding, front-end programming, and Vibe coding, as well as in multi-modal general object recognition, OCR, and object localization.