Using KAT Dev 32B on Fireworks AI

Implementation guide · KAT · Kwaipilot

Serverless

Fireworks AI exposes KAT Dev 32B through model ID accounts/fireworks/models/kat-dev-32b. 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. 1
    Create an account at Fireworks AI and generate an API key.
  2. 2
    Use the Fireworks AI SDK or REST API to call accounts/fireworks/models/kat-dev-32b — see the documentation for request format.
  3. 3
    You'll be billed $0.90/1M input, $0.90/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
FIREWORKS_API_KEY
Model ID
accounts/fireworks/models/kat-dev-32b

Fireworks 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/kat-dev-32b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Fireworks AI

TypePrice (per 1M)
Input tokens$0.90
Output tokens$0.90

Capabilities

No model capability flags are currently sourced.

About KAT Dev 32B

KAT-Dev-32B is an open-source 32B-parameter agentic coding model from Kwaipilot, based on Qwen3-32B. Achieves 62.4% on SWE-Bench Verified, ranking 5th among open-source models as of release. Licensed Apache 2.0. Available on HuggingFace (Kwaipilot/KAT-Dev) and Fireworks AI.

Model Specs

Released2025-10-14
Parameters32B
ArchitectureDecoder Only

Provider

Fireworks AI

San Mateo, California, United States