Cogito V2 Preview Llama 70B

Other chatreasoning

API ID: deepcogito/cogito-v2-preview-llama-70b

Input Price
$0.88
/1M tokens
Output Price
$0.88
/1M tokens

About Cogito V2 Preview Llama 70B

Cogito v2 70B is a dense hybrid reasoning model that combines direct answering capabilities with advanced self-reflection. Built with iterative policy improvement, it delivers strong performance across reasoning tasks while maintaining efficiency through shorter reasoning chains and improved intuition.

๐Ÿ’ฐ
Price Ranking
#917 lowest price among 1240 Chat models

Model Specifications

Context Length
131k
Max Output
โ€”
Release Date
2025-09-02
Capabilities
chat reasoning
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.66
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$21.12
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$30.36
/month
500 analyses/day, ~2k tokens each

Other Model Lineup

Compare all models from Other to find the best fit

Model Input Output Context Capabilities
Cogito V2 Preview Llama 70B Current Free Free 131k chat reasoning
Riverflow V2 Max Preview Free Free 8k chat vision image_gen
Riverflow V2 Standard Preview Free Free 8k chat vision image_gen
Riverflow V2 Fast Preview Free Free 8k chat vision image_gen
AFM 4.5B Free Free 66k chat
AFM 4.5B Free Free 66k chat

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๐Ÿš€ Quick Start

Get started with Cogito V2 Preview Llama 70B API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="deepcogito/cogito-v2-preview-llama-70b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)