Using Cogito v1 Preview Llama 70B on Fireworks AI
Implementation guide · Cogito · Deep Cogito
Fireworks AI exposes Cogito v1 Preview Llama 70B through model ID accounts/fireworks/models/cogito-v1-preview-llama-70b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-29. Next refresh: weekly.
Quick Start
- 1
- 2Use the Fireworks AI SDK or REST API to call
accounts/fireworks/models/cogito-v1-preview-llama-70b— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYaccounts/fireworks/models/cogito-v1-preview-llama-70bFireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],
base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
model="accounts/fireworks/models/cogito-v1-preview-llama-70b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.90 |
| Output tokens | $0.90 |
Capabilities
About Cogito v1 Preview Llama 70B
Cogito v1 Preview Llama 70B is Deep Cogito's largest v1 dense model. Fine-tuned from a Llama 70B base using Iterated Distillation and Amplification (IDA). Outperforms Llama 4 109B MoE on standard benchmarks according to Deep Cogito. Supports direct and reasoning modes with tool calling.