LLM Reference
State Spaces

State Spaces

10 models across 2 families · Latest: Mamba 2 2.7B (2023-12)

Advancing sequence models beyond traditional methods

State Spaces's portfolio covers 10 active models across 2 current families, spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.

Covers 0 workload areas across 10 active tracked models; last verified 2026-05-22.

Use it for

  • Teams evaluating general LLM work across this lab's releases
  • Comparing model families before committing to a flagship
  • Migration and pricing follow-ups across 10 tracked models

Do not use it for

  • Choosing a hosting provider without opening a model page for price ladders

Active models

10

Current models from this lab, excluding deprecated ones

Active families

2

Current model families from this lab

Open catalog

10 open

10 open source / 0 open weights

Lowest output price

Not tracked

No provider output pricing linked yet

Latest dated release

2023-12-08

Mamba 2 2.7B

Freshness

2026-05-22

Researched 102d ago

stale

Release cadence

Dated releases
5
Latest model
Mamba 2 2.7B
Latest date
2023-12-08

Where this lab wins

Not enough capability or benchmark coverage yet to call strengths for this lab.

Flagship quality / price signal

Flagship
Mamba 2.8B
Selection source
Best sourced coding Q/$
Coding grade
unknown
Benchmark / output price
Not enough sourced benchmark and price coverage

About

State Space Models (SSMs) offer an intriguing alternative to the ubiquitous Transformer architecture in generative AI and large language models (LLMs). Their roots in control theory and signal processing lend a unique perspective to deep learning, particularly for modeling sequences. Initially conceptualized to manage exceptionally lengthy sequences, SSMs were revitalized by the pioneering efforts of Voelker, Kajic, and Eliasmith in 2019. Their work drew from neuroscience, showcasing the potential of SSMs to efficiently synthesize temporal information. This laid the groundwork for subsequent innovations in SSM-based architectures.

Featured models

ModelReleasedContextInput price ($/1M)Output price ($/1M)LicenseOpenness
Mamba 2 2.7B2023-12-082k--Apache 2.0Open source
Mamba 2 1.3B2023-12-082k--Apache 2.0Open source
Mamba 2 780M2023-12-082k--Apache 2.0Open source

Model families

Recent releases

  1. Mamba 2 2.7B- 2023-12-08
  2. Mamba 2 1.3B- 2023-12-08
  3. Mamba 2 780M- 2023-12-08
  4. Mamba 2 370M- 2023-12-08
  5. Mamba 2 130M- 2023-12-08

Explore related pages

Last reviewed: 2026-05-22. Data sourced from public lab announcements and provider documentation.