Command A

Name: Command A
Author: Cohere

CohereOpen WeightsPending Human Review

Command A is Cohere’s 111B-parameter enterprise language model for retrieval, tool use, agents, and multilingual instruction following. Its dense autoregressive Transformer uses local and global attention to serve long contexts efficiently. Cohere documents 23-language support, a 256K context, and 8K output on its hosted Chat API. The provider reports deployment on two A100 or H100 GPUs, with throughput depending on serving configuration. Downloadable weights are a non-commercial research release, distinct from the separately contracted commercial API. Command A forms the language backbone of later named vision and reasoning releases rather than subsuming them into this page.

2025-03-13

111B

Dense decoder-only Transformer with local and global attention

CC-BY-NC-4.0 with acceptable-use addendum

Compare with other models

Specifications

Parameters: 111B
Architecture: Dense decoder-only Transformer with local and global attention
License: CC-BY-NC-4.0 with acceptable-use addendum
Context Window: 256,000 tokens
Max Output: 8,000 tokens
Type: text
Modalities: text

Benchmark Scores

Advanced Specifications

Model Family: Command
API Access: Available
Chat Interface: Available
Multilingual Support: Yes
Variants: c4ai-command-a-03-2025 / command-a-03-2025
Hardware Support: NVIDIA A100NVIDIA H100

Capabilities & Limitations

Capabilities: retrieval augmented generationcitationstool usemultilingualinstruction following
Known Limitations: Downloaded weights are licensed for non-commercial use; commercial deployments require separate terms.Grounded answers depend on supplied documents and can still contain unsupported statements.The full 111B model still requires substantial GPU memory.
Notable Use Cases: private enterprise assistantsdocument agentsmultilingual support
Function Calling Support: Yes
Tool Use Support: Yes

Resources

Related Models

North Small Translate

Cohere

North Small Translate is a dedicated text translation model supporting more than 50 languages. Its 218B-parameter mixture-of-experts network activates 25B parameters and targets long-form translation with efficient serving. Open weights are available in several precisions under CC BY-NC 4.0, while commercial use requires appropriate licensing. It can be evaluated through Cohere’s Chat API and a public demo. The release date follows the September 9 API changelog; the launch blog followed on September 10. Translation quality claims depend on the specific language pair, domain, and evaluation method.

Typetext

Parameters218B total, 25B active

2026-09-09

Open Weights

Details Compare

Tiny Aya Thinker

Cohere

Tiny Aya Thinker is Cohere Labs’ 3.35B multilingual reasoning research release, published with the Building Multilingual Bridges paper. L2-Thinker produces reasoning in the user’s language across 60 languages, while En-Thinker provides an English-reasoning comparison. The models build on a 32K Tiny Aya base checkpoint. Downloadable research weights and a public demonstration support multilingual reasoning experiments. The paper publication precedes the October 5 explanatory blog; that later blog is not the first release.

North Micro Vision Instruct

Cohere

North Micro Vision Instruct is a compact open-weight vision-language model for captioning, visual questions, grounding, and document understanding. It combines a 2B language model with a 400M vision encoder and preserves image aspect ratios through native-resolution processing. The language backbone supports 128K tokens, but multimodal training and validated operating conditions cover only 8K; this page uses the conservative multimodal limit. Apache-licensed weights make it a foundation for domain-specific fine-tuning and local experimentation. It supports interleaved images and text, multilingual prompts, and text output.