Any LLM Vision

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Use any vision-language model from a curated catalogue, powered by OpenRouter, for flexible multimodal inference. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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$0.05每次运行·~20 / $1

Any Llm Vision API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/any-llm/vision with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read URLs from data.outputs. Examples for Any Llm Vision below.

HTTP example

# Submit the prediction
curl --fail-with-body --connect-timeout 10 --max-time 60 \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/any-llm/vision" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "reasoning": false,
    "priority": "latency",
    "model": "google/gemini-2.5-flash",
    "enable_sync_mode": false
}'

# Wait at least 2 seconds, then poll. Safe GET requests may be retried.
curl --fail-with-body --connect-timeout 10 --max-time 30 \
  --retry 4 --retry-all-errors --retry-delay 1 \
  -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# Start at 2 seconds and increase the interval for long-running tasks.
# Stop on completed, failed, cancelled, or timeout.

Node.js example

// npm install wavespeed
const { Client } = require('wavespeed');

const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
const client = new Client(apiKey);

try {
  const result = await client.run("wavespeed-ai/any-llm/vision", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "reasoning": false,
        "priority": "latency",
        "model": "google/gemini-2.5-flash",
        "enable_sync_mode": false
}, {
    timeout: 3600,
    pollInterval: 2.0,
  });
  console.log(result.outputs);
} catch (error) {
  console.error('Generation failed:', error);
  process.exitCode = 1;
}

Python example

# pip install wavespeed
import os
from wavespeed import Client

client = Client(api_key=os.environ["WAVESPEED_API_KEY"])

try:
    output = client.run(
        "wavespeed-ai/any-llm/vision",
        {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "reasoning": false,
    "priority": "latency",
    "model": "google/gemini-2.5-flash",
    "enable_sync_mode": false
},
        timeout=3600.0,
        poll_interval=2.0,
    )
    print(output["outputs"])
except Exception as error:
    raise SystemExit(f"Generation failed: {error}") from error

Any Llm Vision API — Frequently asked questions

What is the Any Llm Vision API?

Any Llm Vision is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Use any vision-language model from a curated catalogue, powered by OpenRouter, for flexible multimodal inference. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Any Llm Vision API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/any-llm-vision.

How much does Any Llm Vision cost per run?

Any Llm Vision starts at $0.050 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Any Llm Vision accept?

Key inputs: `prompt`, `images`, `enable_sync_mode`, `max_tokens`, `model`, `priority`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/any-llm-vision.

How long does Any Llm Vision take to generate?

Average end-to-end generation time on WaveSpeedAI is around 4 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Any Llm Vision outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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Any Llm Vision API — Quick start

Any Llm Vision API — Frequently asked questions