Llm Models
by Saylor Innovations Data Desk in AI models & inference
LLM model pricing and context window lookup - input and output price per million tokens, max tokens and capabilities for OpenAI, Anthropic, Google and more
https://saylorinnovations.com/api/llm/models- Price
- $0.01
- per call in USDC
- Uptime
- 100%
- last 30 days
- Response time
- 360 ms
- 847 ms slowest 5%
- Last check
- Passed
- 1 h ago, next any minute now
Reliability
Status and outage history · Atom feed · Watch with other listings
How to call it
GET https://saylorinnovations.com/api/llm/models
Each call costs $0.01 in USDC on Base, paid with the request over x402.
Run a free test callOne unpaid request, the way an agent sends it. You see the payment challenge it gets back. Nothing is charged.
Example request
From the listing.
GET https://saylorinnovations.com/api/llm/models?limit=3&provider=anthropic&q=claudeParameters
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | string | No | optional 1-50, default 10 |
provider | string | No | optional provider, e.g. openai, anthropic, gemini, bedrock |
q | string | Yes | Text the model id contains, e.g. gpt-4o, claude, gemini |
Example response
The provider's example. We can't check it without paying.
Example response, 60 lines
{
"matched": 22,
"models": [
{
"cached_input_usd_per_1m_tokens": 0.5,
"deprecation_date": null,
"input_usd_per_1m_tokens": 5,
"max_input_tokens": 1000000,
"max_output_tokens": 128000,
"mode": "chat",
"model": "claude-opus-5",
"output_usd_per_1m_tokens": 25,
"provider": "anthropic",
"supports": [
"function_calling",
"vision",
"prompt_caching"
]
},
{
"cached_input_usd_per_1m_tokens": 1,
"deprecation_date": null,
"input_usd_per_1m_tokens": 10,
"max_input_tokens": 1000000,
"max_output_tokens": 128000,
"mode": "chat",
"model": "claude-fable-5",
"output_usd_per_1m_tokens": 50,
"provider": "anthropic",
"supports": [
"function_calling",
"vision",
"prompt_caching"
]
},
{
"cached_input_usd_per_1m_tokens": 1,
"deprecation_date": null,
"input_usd_per_1m_tokens": 10,
"max_input_tokens": 1000000,
"max_output_tokens": 128000,
"mode": "chat",
"model": "claude-mythos-5",
"output_usd_per_1m_tokens": 50,
"provider": "anthropic",
"supports": [
"function_calling",
"vision",
"prompt_caching"
]
}
],
"note": "community-maintained list prices; verify against the provider before committing spend",
"query": {
"mode": null,
"provider": "anthropic",
"q": "claude"
},
"source": "BerriAI/litellm model_prices_and_context_window.json (MIT), cached up to 1 hour"
}Call it from code
The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.01.
curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i 'https://saylorinnovations.com/api/llm/models?limit=3&provider=anthropic&q=claude'
# x402 v2 sends the challenge base64-encoded in the PAYMENT-REQUIRED header (v1 sends it in the body).
# To read the header:
curl -sS -g -o /dev/null -D - 'https://saylorinnovations.com/api/llm/models?limit=3&provider=anthropic&q=claude' \
| grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decodeJavaScript: pay and call
// npm i @x402/fetch @x402/evm viem
import { wrapFetchWithPayment, x402Client } from "@x402/fetch";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";
// Pays at most $0.01 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.01" });
registerExactEvmScheme(client, { signer: privateKeyToAccount(process.env.EVM_PRIVATE_KEY) });
const pay = wrapFetchWithPayment(fetch, client);
// Not sure it's safe to pay? ToolVet checks it first for $0.005. Pay for that from a separate
// client: this one is capped at $0.01 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fsaylorinnovations.com%2Fapi%2Fllm%2Fmodels
const res = await pay("https://saylorinnovations.com/api/llm/models?limit=3&provider=anthropic&q=claude");
console.log(res.status, await res.text());Python: pay and call
# pip install "x402[requests,evm]"
import os
from eth_account import Account
from x402 import x402ClientSync
from x402.http.clients import x402_requests
from x402.mechanisms.evm import EthAccountSigner
from x402.mechanisms.evm.exact.register import register_exact_evm_client
# Pays at most $0.01 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.01"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))
with x402_requests(client) as session:
res = session.get("https://saylorinnovations.com/api/llm/models?limit=3&provider=anthropic&q=claude")
print(res.status_code, res.text)Security scan
No findings
We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time | Price |
|---|---|---|---|---|
| 1 h ago | Passed | 402 | 847 ms | $0.01 |
| 6 h ago | Passed | 402 | 360 ms | $0.01 |
| 11 h ago | Passed | 402 | 334 ms | $0.01 |