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Model Library
/Fireworks/MiMo-V2.6-Pro-RL
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MiMo-V2.6-Pro-RL

Ready
model path:accounts/fireworks/models/mimo-v2p6-pro-rl

MiMo-V2.6-Pro-RL is a 1T-parameter sparse MoE omnimodal model (text, image, video, audio) with 1M-token context, designed as Xiaomi’s flagship agentic model. It scales a unified reinforcement-learning pipeline across coding, general agents, visual tasks, and cybersecurity using groupwise agentic grading and speculative decoding to drive self-improvement and strong benchmark performance

MiMo-V2.6-Pro-RL API Features

On-demand Deployment

Docs

On-demand deployments allow you to use MiMo-V2.6-Pro-RL on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

Metadata

State
Ready
Created on
9/25/2026
Kind
Base model
Provider
Fireworks

Specification

Calibrated
No
Mixture-of-Experts
Yes
Parameters
1.02T

Supported Functionality

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