Using Cogito v1 Preview Qwen-14B on Fireworks AI
Implementation guide · Cogito · Deep Cogito
ServerlessOpen Weights
Fireworks AI exposes Cogito v1 Preview Qwen-14B through model ID accounts/fireworks/models/cogito-v1-preview-qwen-14b. 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-qwen-14b— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
FIREWORKS_API_KEYModel ID
accounts/fireworks/models/cogito-v1-preview-qwen-14bFireworks 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-qwen-14b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.20 |
Capabilities
ReasoningJSON / Tool useStructured Outputs
About Cogito v1 Preview Qwen-14B
Cogito v1 Preview Qwen-14B is a hybrid reasoning model fine-tuned from Qwen 2.5 14B using Iterated Distillation and Amplification (IDA). Supports direct and extended-thinking modes, tool calling, and 30+ languages.
Model Specs
Released2025-04-08
Parameters14B
Context128k
ArchitectureDecoder Only