Cogito 671B v2.1

Deep Cogito’s 671B parameter Mixture-of-Experts model with FP8 dynamic quantization for efficient inference.

Cogito 671B v2.1 is Deep Cogito’s massive 671B parameter Mixture-of-Experts (MoE) language model. It uses FP8 dynamic quantization for efficient inference while maintaining high-quality outputs across reasoning, coding, and general knowledge tasks.

Try in playground

Test Cogito 671B v2.1 in the Runpod Hub playground.

Endpoint	https://api.runpod.ai/v2/cogito-671b-v2-1-fp8-dynamic/runsync
Pricing	$0.50 per 1M tokens
Type	Text generation

This endpoint is fully compatible with the OpenAI API. See the OpenAI compatibility examples below.

Request

All parameters are passed within the input object in the request body.

input.prompt · string · required

Prompt for text generation.

input.max_tokens · integer · default: "512"

Maximum number of tokens to output.

input.temperature · float · default: "0.7"

Randomness of the output. Lower values make output more predictable and deterministic. Range: 0.0-1.0.

input.top_p · float

Nucleus sampling threshold. Samples from the smallest set of words whose cumulative probability exceeds this threshold.

input.top_k · integer

Restricts sampling to the top K most probable words.

input.stop · string

Stops generation if the given string is encountered.

cURL

curl -X POST "https://api.runpod.ai/v2/cogito-671b-v2-1-fp8-dynamic/runsync" \
  -H "Authorization: Bearer $RUNPOD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": {
      "prompt": "Write a detailed analysis of the economic impacts of renewable energy adoption:",
      "max_tokens": 1024,
      "temperature": 0.7
    }
  }'

import requests

response = requests.post(
    "https://api.runpod.ai/v2/cogito-671b-v2-1-fp8-dynamic/runsync",
    headers={
        "Authorization": f"Bearer {RUNPOD_API_KEY}",
        "Content-Type": "application/json",
    },
    json={
        "input": {
            "prompt": "Write a detailed analysis of the economic impacts of renewable energy adoption:",
            "max_tokens": 1024,
            "temperature": 0.7,
        }
    },
)

result = response.json()
print(result["output"])

const response = await fetch(
  "https://api.runpod.ai/v2/cogito-671b-v2-1-fp8-dynamic/runsync",
  {
    method: "POST",
    headers: {
      Authorization: `Bearer ${RUNPOD_API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      input: {
        prompt: "Write a detailed analysis of the economic impacts of renewable energy adoption:",
        max_tokens: 1024,
        temperature: 0.7,
      },
    }),
  }
);

const result = await response.json();
console.log(result.output);

Response

id · string

Unique identifier for the request.

status · string

Request status. Returns COMPLETED on success, FAILED on error.

delayTime · integer

Time in milliseconds the request spent in queue before processing began.

executionTime · integer

Time in milliseconds the model took to generate the response.

output · object

The generation result containing the text and usage information.

output.choices · array

Array containing the generated text.

output.cost · float

Cost of the generation in USD.

output.usage · object

Token usage information with input and output counts.

200

{
  "delayTime": 45,
  "executionTime": 8234,
  "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1",
  "output": [
    {
      "choices": [
        {
          "tokens": [
            "The economic impacts of renewable energy adoption are multifaceted and far-reaching. Here's a comprehensive analysis:\n\n1. Job Creation and Labor Markets..."
          ]
        }
      ],
      "cost": 0.0005,
      "usage": {
        "input": 20,
        "output": 980
      }
    }
  ],
  "status": "COMPLETED"
}

OpenAI API compatibility

Cogito 671B v2.1 is fully compatible with the OpenAI API format. You can use the OpenAI Python client to interact with this endpoint.

Python (OpenAI SDK)

from openai import OpenAI

client = OpenAI(
    api_key=RUNPOD_API_KEY,
    base_url="https://api.runpod.ai/v2/cogito-671b-v2-1-fp8-dynamic/openai/v1",
)

response = client.chat.completions.create(
    model="cogito-671b-v2-1-fp8-dynamic",
    messages=[
        {
            "role": "system",
            "content": "You are a helpful assistant with expertise in economics and analysis.",
        },
        {
            "role": "user",
            "content": "Analyze the economic impacts of renewable energy adoption.",
        },
    ],
    max_tokens=1024,
)

print(response.choices[0].message.content)

For streaming responses, add stream=True:

Python (Streaming)

response = client.chat.completions.create(
    model="cogito-671b-v2-1-fp8-dynamic",
    messages=[
        {"role": "user", "content": "Explain the principles of machine learning."}
    ],
    max_tokens=1024,
    stream=True,
)

for chunk in response:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

For more details, see Send vLLM requests and the OpenAI API compatibility guide.

Cost calculation

Cogito 671B v2.1 charges $0.50 per 1M tokens. Example costs:

Tokens	Cost
1,000 tokens	$0.0005
10,000 tokens	$0.005
100,000 tokens	$0.05
1,000,000 tokens	$0.50