LLM Reference

Saul 141B

Released
2024-07-28
Last refreshed
2026-05-04
Status
Researched 31d ago
Legal

Saul 141B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 66k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
SaulLM
Released
2024-07-28
Context
66k
Parameters
141B
Architecture
Decoder Only
Specialization
legal
License
MIT
Training
pretrained
Created by

Open legal AI models for all

New York, New York, United States
Founded 2024
Website
Pricing

No tracked provider token pricing is available yet.

About

SaulLM-141B is a 141 billion parameter MoE model (Mixtral 8x22B architecture) built by Equall via continued pretraining on over 540 billion tokens of US and European legal text. The largest model in the SaulLM family. Published as part of the NeurIPS 2024 scaling study.

Saul 141B is a model in the SaulLM family. The structured metadata tracks a 66k-token context window. No headline benchmark score is tracked for Saul 141B yet.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

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

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(4)