Kimi K3 on Fireworks: Frontier Intelligence You Can Own

Model Library
/Thinking Machines Lab/Inkling
model path:accounts/fireworks/models/inkling

Inkling - Thinking Machines multimodal (audio+vision) MoE. Inkling is the first open-weights model released by Thinking Machines Lab. It is a 975B Mixture-of-Experts with 41B active parameters, trained natively across text, image, and audio. Built as a broad generalist foundation for fine-tuning, with controllable thinking effort.

Inkling API Features

Serverless

Docs

Inkling is available via Fireworks' serverless API, where you pay per token. There are several ways to call the Fireworks API, including Fireworks' Python client, the REST API, or OpenAI's Python client.

On-demand Deployment

Docs

On-demand deployments allow you to use Inkling on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

Available Serverless

Run queries immediately, pay only for usage

$1.00 / $0.17 / $4.05
Per 1M Tokens (input/cached input/output)

Metadata

State
Ready
Created on
7/14/2026
Kind
Base model
Provider
Thinking Machines Lab

Specification

Calibrated
No
Mixture-of-Experts
Yes
Parameters
975B

Supported Functionality

Fine-tuning
Not supported
Serverless
Supported
Context Length
1040k tokens
Function Calling
Supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Supported