Reflection 70B

mattshumer/reflection-70b

Updated Sep 6131,072 context

$0.35/M input tokens$0.4/M output tokens

Reflection Llama-3.1 70B is trained with a new technique called Reflection-Tuning that teaches a LLM to detect mistakes in its reasoning and correct course.

The model was trained on synthetic data.

Sample code and API for Reflection 70B

OpenRouter normalizes requests and responses across providers for you.

To get started, you can use Reflection 70B via API like this:

fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${OPENROUTER_API_KEY}`,
    "HTTP-Referer": `${YOUR_SITE_URL}`, // Optional, for including your app on openrouter.ai rankings.
    "X-Title": `${YOUR_SITE_NAME}`, // Optional. Shows in rankings on openrouter.ai.
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "mattshumer/reflection-70b",
    "messages": [
      {"role": "user", "content": "What is the meaning of life?"},
    ],
  })
});

You can also use OpenRouter with OpenAI's client API:

import OpenAI from "openai"

const openai = new OpenAI({
  baseURL: "https://openrouter.ai/api/v1",
  apiKey: $OPENROUTER_API_KEY,
  defaultHeaders: {
    "HTTP-Referer": $YOUR_SITE_URL, // Optional, for including your app on openrouter.ai rankings.
    "X-Title": $YOUR_SITE_NAME, // Optional. Shows in rankings on openrouter.ai.
  }
})
async function main() {
  const completion = await openai.chat.completions.create({
    model: "mattshumer/reflection-70b",
    messages: [
      { role: "user", content: "Say this is a test" }
    ],
  })

  console.log(completion.choices[0].message)
}
main()

See the Request docs for all possible parameters, and Parameters for recommended values.