MetaEncoder
MetaEncoder is available now for general LLM work with open-source; evaluate it while provider pricing coverage matures.
- Family
- MetaEncoder
- Released
- 2026-10-08
- Parameters
- 29.8B
- Specialization
- embedding
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Available
- Code
- Unknown
- Training
- Fine-tuned
Large-scale open-source AI for social technologies.
No tracked provider token pricing is available yet.
About
MetaEncoder is Meta's open-weight multimodal decision-making encoder, fine-tuned from the Muse Glimmer 30B decoder into an instruction-following bi-encoder trained with unidirectional contrastive learning. Requests and candidate options are both written in natural language, with optional image and video inputs, and the model scores request-candidate alignment rather than generating text, covering small closed-set decisions (under 256 options) and open-set retrieval over millions of candidates. Meta's paper (arXiv 2610.11316, 2026-10-08) evaluates it on 11 benchmark suites and 190 tasks and notes its current limits on reasoning-intensive tasks.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
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.
API versions
MetaEncodermeta-encoderfacebook/meta-encoderLarge-scale open-source AI for social technologies.
No tracked provider token pricing is available yet.