Any LLM

Any LLM is a unified large language model gateway that provides access to multiple state-of-the-art AI models through a single interface. Chat, reason, and generate text using models from Google, OpenAI, Anthropic, and more — all in one place.

Why It Stands Out

Multi-model access: Choose from a variety of leading AI models including Gemini, GPT, Claude, and more.
Unified interface: One consistent API and playground for all supported models.
System prompt support: Customize model behavior with custom instructions.
Reasoning mode: Enable step-by-step reasoning for complex problem-solving tasks.
Priority control: Choose between latency-optimized or quality-optimized responses.
Flexible parameters: Fine-tune temperature, max tokens, and other settings.
Prompt Enhancer: Built-in AI-powered prompt optimization for better results.

Parameters

Parameter	Required	Description
prompt	Yes	Your question or instruction to the model.
system_prompt	No	Custom instructions to guide model behavior.
reasoning	No	Include reasoning steps in the final answer.
priority	No	Optimize for latency or quality (default: latency).
temperature	No	Controls randomness (lower = focused, higher = creative).
max_tokens	No	Maximum length of the response.
model	No	Select which LLM to use (e.g., google/gemini-2.5-flash).
enable_sync_mode	No	Wait for result before returning response (API only).

Supported Models

google/gemini-2.5-flash
anthropic/claude-3.5-sonnet
openai/gpt-5-chat
And more...

How to Use

Write your prompt — enter your question or instruction. Use the Prompt Enhancer for AI-assisted optimization.
Add a system prompt (optional) — provide custom instructions to guide the model's behavior.
Enable reasoning (optional) — turn on for step-by-step explanations.
Select priority — choose "latency" for faster responses or "quality" for better outputs.
Adjust parameters (optional) — set temperature and max_tokens as needed.
Select a model — choose from available LLMs.
Click Run and receive your response.

Best Use Cases

General Q&A — Get answers to questions across any topic.
Writing Assistance — Draft emails, articles, reports, and creative content.
Code Generation — Write, debug, and explain code in multiple languages.
Research & Analysis — Summarize documents, analyze data, and extract insights.
Reasoning Tasks — Solve math problems, logic puzzles, and complex reasoning challenges.
Brainstorming — Generate ideas, outlines, and creative concepts.

Pro Tips for Best Quality

Use system prompts to define the model's role, tone, and output format.
Enable reasoning for math, logic, and multi-step problems.
Lower temperature (0.1–0.3) for factual, consistent answers.
Higher temperature (0.7–1.0) for creative, varied responses.
Choose "latency" priority for quick interactions, "quality" for important tasks.
Experiment with different models to find the best fit for your use case.

Notes

Processing time varies based on model selection and prompt complexity.
Please ensure your prompts comply with usage guidelines.

Any Llm API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/any-llm 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 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" \
  -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",
    "temperature": 0,
    "max_tokens": 1,
    "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, {
  maxConnectionRetries: 5,
  retryInterval: 1.0,
});

try {
  const result = await client.run("wavespeed-ai/any-llm", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "reasoning": false,
        "priority": "latency",
        "temperature": 0,
        "max_tokens": 1,
        "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"],
    max_connection_retries=5,
    retry_interval=1.0,
)

try:
    output = client.run(
        "wavespeed-ai/any-llm",
        {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "reasoning": false,
    "priority": "latency",
    "temperature": 0,
    "max_tokens": 1,
    "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 API — Frequently asked questions

What is the Any Llm API?

Any Llm is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Any LLM is a versatile large language model for text generation, comprehension, and diverse NLP tasks such as chat and summarization. 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 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.

How much does Any Llm cost per run?

Any Llm starts at $0.010 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 accept?

Key inputs: `prompt`, `enable_sync_mode`, `max_tokens`, `model`, `priority`, `reasoning`. 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.

How long does Any Llm take to generate?

Average end-to-end generation time on WaveSpeedAI is around 15 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 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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README