o1-mini is no longer listed in the catalog. See OpenAI o4-mini instead, or browse the current models.

o1-mini

Name: OpenAI o1-mini
Brand: OpenAI
Availability: InStock

openai/o1-mini

openai

Fast reasoning model optimized for STEM

Code Examples

from blockrun_llm import LLMClient

client = LLMClient()  # Uses BLOCKRUN_WALLET_KEY (never sent to server)
response = client.chat("openai/o1-mini", "Hello!")

import { LLMClient } from '@blockrun/llm';

const client = new LLMClient();  // Uses BLOCKRUN_WALLET_KEY (never sent to server)
const response = await client.chat('openai/o1-mini', 'Hello!');

curl -X POST https://blockrun.ai/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "PAYMENT-SIGNATURE: <payment_header>" \
  -d '{
    "model": "openai/o1-mini",
    "messages": [{"role": "user", "content": "Hello!"}],
    "max_tokens": 1024
  }'

Pricing

Input$1.10 / 1M tokens

Output$4.40 / 1M tokens

Context128K tokens

Max Output66K tokens

No markup on official OpenAI rates; $0.001 fee per call.

Payment

Network

Base

Currency

USDC

Protocol

x402

Pay per request with USDC on Base. No subscription required.

Try It

Send a message to try o1-mini

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About OpenAI o1-mini

o1-mini is a reasoning and coding model from OpenAI with a 128K-token context window and up to 66K tokens of output per call. It is billed per token at the provider's list rate, with no markup on chat tokens. It is served through BlockRun's OpenAI-compatible API, so it can be called without an account, an API key, or a subscription.

What it costs

o1-mini is billed per token. The underlying rates are $1.10 per million input tokens and $4.40 per million output tokens with no platform margin on chat tokens; only a small per-transaction fee covering on-chain settlement is added on top, and the resulting price is quoted in the 402 before you pay. You are charged for the tokens a request actually consumes — there is no monthly commitment and no unused balance to forfeit. With a context window of 128,000 tokens and up to 65,536 tokens of output, a single call can carry a substantial working set.

Specifications

Context window: 128,000 tokens
Maximum output: 65,536 tokens
API compatibility: OpenAI-compatible
Payment: USDC via x402
Categories: chat, reasoning, coding

Calling it from your code

Pass openai/o1-mini as the model field. Because the endpoint mirrors the OpenAI chat completions schema, any existing OpenAI client works by changing the base URL — streaming, tool use, and multi-turn messages all behave the same way.

The first request returns a 402 carrying the exact price; a signed retry runs it, and client libraries fold the two into one call — how the payment works. See the documentation for request and response shapes, the LLM API page for every model on this endpoint, or browse the full catalog of 78 chat models to compare alternatives.