Any Llm Vision
Playground
Try it on WavespeedAI!Use any vision language model from our selected catalogue (powered by OpenRouter)
Features
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/any-llm/vision" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"reasoning": false,
"priority": "latency",
"model": "google/gemini-flash-1.5",
"enable_sync_mode": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | Prompt to be used for the chat completion | |
| system_prompt | string | No | - | - | System prompt to provide context or instructions to the model |
| images | array | No | [] | - | List of image URLs to be processed |
| reasoning | boolean | No | false | - | Should reasoning be the part of the final answer. |
| priority | string | No | latency | throughput, latency | Throughput is the default and is recommended for most use cases. Latency is recommended for use cases where low latency is important. |
| temperature | number | No | - | 0 ~ 2 | This setting influences the variety in the model’s responses. Lower values lead to more predictable and typical responses, while higher values encourage more diverse and less common responses. At 0, the model always gives the same response for a given input. |
| max_tokens | integer | No | - | - | This sets the upper limit for the number of tokens the model can generate in response. It won’t produce more than this limit. The maximum value is the context length minus the prompt length. |
| model | string | No | google/gemini-flash-1.5 | anthropic/claude-3.7-sonnet, anthropic/claude-3.5-sonnet, anthropic/claude-3-haiku, google/gemini-pro-1.5, google/gemini-flash-1.5, google/gemini-flash-1.5-8b, google/gemini-2.0-flash-001, openai/gpt-4o, openai/gpt-4.1, openai/gpt-5-chat, meta-llama/llama-3.2-90b-vision-instruct, meta-llama/llama-4-maverick, meta-llama/llama-4-scout | Name of the model to use. Premium models are charged at 3x the rate of standard models, they include: google/gemini-pro-1.5, openai/gpt-4.1, openai/gpt-4o, anthropic/claude-3.5-sonnet, openai/gpt-5-chat, meta-llama/llama-3.2-90b-vision-instruct, anthropic/claude-3.7-sonnet. |
| enable_sync_mode | boolean | No | false | - | If set to true, the function will wait for the image to be generated and uploaded before returning the response. It allows you to get the image directly in the response. This property is only available through the API. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |