LLM Reference

Aya 23 35B

Released
2024-02-21
Last refreshed
2026-04-15
Status
Researched 244d ago
Open weightsCommercial use: non-commercial

Aya 23 35B is worth evaluating for general LLM work when its provider route and context window match the workload.

Use it for

  • Teams evaluating general LLM work
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
Aya
Released
2024-02-21
Parameters
35B
Architecture
Decoder Only
Specialization
general
Openness
Open weights
License
CC-BY-NC-4.0Commercial use: non-commercial
Weights
Available
Code
Unknown
Training
Fine-tuned
Created by

Empowering developers with advanced language AI.

Toronto, Ontario, Canada
Founded 2022
Website
Pricing
Output / 1M
$1.50
Input / 1M
$0.500

Cheapest of 1 route · Cohere API

About

Aya 23 35B is a cutting-edge multilingual large language model developed by Cohere For AI, featuring 35 billion parameters. It is designed for advanced multilingual capabilities across 23 languages, offering tasks like text generation, translation, summarization, and question answering. The model employs an optimized transformer architecture with innovations such as parallel attention, SwiGLU activation, and rotary positional embeddings to enhance performance. It uses a 256k vocabulary size BPE tokenizer, processing input word by word as a decoder-only model. The training process included instruction-fine-tuning with various data sources, achieving high performance in supported languages.

Top use-case fit

No primary decision-task fit is mapped 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.