Minimax M3
Readymodel path:accounts/fireworks/models/minimax-m3
MiniMax-M3 is a native multimodal model with 1M context running ~428B parameters and ~23B activated parameters. It brings native multimodality. enabling deeper semantic fusion across text, image, and video. M3 also introduces MiniMax Sparse Attention (MSA) to improve long context efficiency, achieving frontier-level performance across long-horizon agentic benchmarks, excelling in both coding and cowork.
Minimax M3 can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model
Minimax M3 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 Minimax M3 on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.
$0.30 / $0.06 / $1.20
Run queries immediately, pay only for usage
Per 1M Tokens (input/cached input/output)