H2O-Lightning-31B

Released
2026-10-20
Last refreshed
2026-10-21
Status
Researched today
Open weightsCommercial use: not permittedMultimodalRAGLong contextVisionJSON / Tool use

H2O-Lightning-31B is a released rag, long context, and vision model with open-weight and 128K context; evaluate it while provider pricing coverage matures.

H2O.ai releases · 2 in the last 12 monthsChangelog →
Specifications
Released
2026-10-20
Context
128K
Parameters
31B
Architecture
Decoder Only
Openness
Open weights
Weights
Available
Code
Unknown
Training
Fine-tuned
Created by

H2O.ai is an open-source machine learning company. In October 2026 it released H2O-Lightning-4B, an Apache-2.0 decision

Website
Pricing

No tracked provider pricing is available yet.

About

H2O-Lightning-31B is H2O.ai's 31-billion-parameter decision model, built on Google's Gemma 4 31B IT and published on Hugging Face on October 20, 2026. It answers typed decision questions about a record (a document, ticket, policy, conversation or attached images) and returns a probability for every option, and H2O ships serving scripts tuned for the Jev Decision Index and JevBench with a 131,072-token context. Unlike the Apache-2.0 H2O-Lightning-4B, the weights are under the H2O Model Non-Commercial Licence v1.1 for non-commercial, non-production use.

Providers

No active provider routes are tracked for this model yet.

Capabilities

VisionMultimodalStructured Outputs

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

API versions

h2oai/h2o-lightning-31bH2O-Lightning-31B