Skip to content
← Models
Open weightsCohere For AI/10 trustMetrics-checked

Aya 101

Cohere's 101-language instruction-tuned open model — the multilingual breadth milestone.

Visit official page →

About

Aya 101, released by Cohere For AI in February 2024 (preprint February 13, 2024), was the first open model to chase multilingual breadth at scale: a 13B-parameter mT5 model instruction-tuned on 101 languages, over half of them lower-resourced. It was built on the Aya Collection — 513 million prompt/completion instances assembled with 3,000+ collaborators across 119 countries — plus xP3x and data-provenance mixtures.

The release paired the model with a new multilingual evaluation suite covering 99 languages across discriminative and generative tasks, and it substantially outperformed prior massively multilingual open models. Cohere was candid about the trade-off: spreading capacity across 101 languages meant per-language quality lagged, which motivated the narrower, deeper Aya 23 follow-up. The model card lists an Apache 2.0 license; as with any community mirror, confirm terms on the official Hugging Face page (CohereForAI/aya-101).

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

February 13, 2024

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

multilingual-chatlow-resource-nlpcross-lingual-qatranslation

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 80; Trending score 66/100 from researcher assessment.

More in the aya family

Sources