GLM 5.3 Flash
Readymodel path:accounts/fireworks/models/glm-5p3-flash
GLM-5.3-Flash is the first natively multimodal model in the GLM-5 series with 320B total parameters and 18B active parameters. It incorporates several architectural improvements over GLM-5.2 including a hybrid architecture, sharply reducing long-context serving costs while preserving precise long-context and Manifold-Constrained Hyper-Connections (mHC) to further improve scaling efficiency.
GLM 5.3 Flash can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model
GLM 5.3 Flash 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 deployments allow you to use GLM 5.3 Flash on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.
$0.15 / $0.03 / $0.50
Run queries immediately, pay only for usage
Per 1M Tokens (input/cached input/output)