ByteDance: UI-TARS 7B
/v1/chat/completionsUI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement learning-based reasoning, enabling robust action planning and execution across virtual interfaces.
Request body
Parameters supported by this model. Values, defaults, and limits are read from the model registry.
Model identifier. Set to bytedance/ui-tars-1.5-7b.
Default: bytedance/ui-tars-1.5-7b
Conversation messages in system, user, or assistant order.
Maximum number of tokens the model may generate in the response.
Range: −∞ to 2048
Sampling temperature. Lower values are more deterministic; higher values are more creative.
Range: 0 to 2
Default: 1
Nucleus sampling threshold. Use this or temperature, but usually not both.
Range: 0 to 1
When true, returns incremental Server-Sent Events instead of one completed response.
Default: false
Sequences that stop generation when the model produces one of them.
Penalizes tokens that already appeared, encouraging the model to introduce new topics.
Range: -2 to 2
Penalizes repeated tokens, reducing repetition in the generated response.
Range: -2 to 2
Seed used to make sampling more reproducible when the provider supports it.
Request parameter supported by this model.
Range: 0 to ∞
Response Schema
Fields returned by this model API response.
Generated completion choices.
Unique chat completion identifier.
Model that generated the response.
Token usage when available.
Model capabilities
Capabilities declared by the model registry.
Default: chat, vision
Maximum context window accepted by this model.
Default: 128000 tokens
Execution mode declared by the model registry.
Default: sync

