# Command A+

> Cohere's first Apache-2.0 frontier model: a 218B sparse MoE (25B active) for agentic, multilingual, and vision tasks that runs on as few as two H100s.

- Maker: Cohere
- Line: Command A+
- Canonical page: https://ai-tldr.dev/models/command-a-plus-05-2026/
- Updated: 2026-06-18

## In short

Command A+ is Cohere's flagship large language model, released on May 20, 2026 as the model ID command-a-plus-05-2026. It has a 128K-token context window. You can use it through Cohere.

## Facts

| Fact | Value | Source |
| --- | --- | --- |
| Context window | 128K (max output 64K tokens) | [1] |
| Licence | Apache-2.0 · open weights | [1] |
| Released | 20 May 2026 | [2] |
| Parameters | 218B total / 25B active (sparse MoE) | [1] |

## Sources

1. [Command A+ model card (BF16) — Hugging Face](https://huggingface.co/CohereLabs/command-a-plus-05-2026-bf16)
2. [Announcing Command A+ — Cohere changelog](https://docs.cohere.com/changelog/command-a-plus-05-2026)

## Overview

Command A+ is Cohere's flagship large language model, released on May 20, 2026 as the model ID command-a-plus-05-2026. It is the company's first Mixture-of-Experts model and the last entry in the Command A family, folding vision input, reasoning, translation, and agentic tool use into a single 218-billion-parameter network that activates only 25 billion parameters per token.

Notably, Command A+ is Cohere's first Command frontier model shipped under a full Apache 2.0 license with open weights. Cohere publishes near-lossless 16-bit (BF16), 8-bit (FP8), and 4-bit (W4A4) quantizations on the Hugging Face Hub, so the recommended W4A4 build runs on as few as two NVIDIA H100 GPUs or a single B200 — a footprint Cohere targets at sovereign, on-premise, and regulated enterprise deployments where data must stay inside trusted systems.

Beyond raw scores, Command A+ adds native citation grounding: when it pulls from an external tool or document it emits explicit grounding spans that tie each factual claim back to its source. It supports a 128K-token context window, up to 64K output tokens, and 48 languages (up from 23 in the original Command A), including every official EU language.

## Benchmarks

- τ²-Bench Telecom (agentic): 85% ([source](https://cohere.com/blog/command-a-plus))
- Terminal-Bench Hard (agentic coding): 25% ([source](https://cohere.com/blog/command-a-plus))
- MMMU (multimodal understanding): 75.1% ([source](https://cohere.com/blog/command-a-plus))
- MMMU-Pro (visual reasoning): 63% ([source](https://cohere.com/blog/command-a-plus))
- MathVista: 80.6% ([source](https://cohere.com/blog/command-a-plus))
- CharXiv (reasoning): 52.7% ([source](https://cohere.com/blog/command-a-plus))
- Artificial Analysis Intelligence Index: 29% ([source](https://artificialanalysis.ai/models/command-a-plus))

## Strengths

- Open weights under a true Apache 2.0 license — commercial, government, and military use with no revenue caps or non-compete clauses
- Efficient sparse MoE: 25B active parameters keep inference fast while 218B total parameters back the quality
- Strongest agentic and tool-use model in the Command family, with large gains on multi-step enterprise task benchmarks
- Native citation grounding links every claim to its source document for verifiable RAG
- Small deployment footprint: near-lossless W4A4 quantization fits on 2x H100 or a single B200
- Broad multilingual coverage across 48 languages, including all official EU languages

## Best for

- On-premise and sovereign enterprise agents that must keep sensitive data in-house
- Retrieval-augmented generation where every answer needs verifiable, cited sources
- Multi-step agentic workflows and tool use in customer support, operations, and analytics
- Multilingual document understanding and translation across 48 languages
- Multimodal document analysis combining text and image (vision) inputs

## How to access

- [Cohere](https://docs.cohere.com/docs/command-a-plus) — model id `command-a-plus-05-2026`

## Command A+ versions

- Command A+ (20 May 2026) — this page

## FAQ

### Is Command A+ open source?

Yes. Command A+ is released with open weights under a full Apache 2.0 license, allowing commercial, government, and military use with no revenue caps or non-compete clauses. Weights are published on the Hugging Face Hub under the CohereLabs organization in BF16, FP8, and W4A4 quantizations.

### What hardware does Command A+ need to run?

The recommended near-lossless W4A4 (4-bit) build runs on as few as two NVIDIA H100 GPUs or a single B200. The FP8 build needs about four H100s and the full BF16 build needs about eight H100s.

### How big is Command A+ and what context length does it support?

It is a sparse Mixture-of-Experts model with 218 billion total parameters and 25 billion active per token (128 experts, 8 active plus one shared). It supports a 128K-token context window and up to 64K output tokens.

### What makes Command A+ good for enterprise agents?

It is the strongest agentic and tool-use model in the Command family, with large gains on multi-step task benchmarks like τ²-Bench Telecom (85%), plus native citation grounding that links every claim to its source — useful for verifiable RAG. Its small deployment footprint suits sovereign, on-premise use where data must stay in-house.

## Links

- [Introducing Command A+ — Cohere blog](https://cohere.com/blog/command-a-plus)
- [Command A+ model card (BF16) — Hugging Face](https://huggingface.co/CohereLabs/command-a-plus-05-2026-bf16)
- [Command A+ docs — Cohere](https://docs.cohere.com/docs/command-a-plus)
- [Announcing Command A+ — Cohere changelog](https://docs.cohere.com/changelog/command-a-plus-05-2026)
- [Command A+ benchmarks — Artificial Analysis](https://artificialanalysis.ai/models/command-a-plus)
- [Cohere releases Command A+: 218B sparse MoE — MarkTechPost](https://www.marktechpost.com/2026/05/21/cohere-releases-command-a-a-218b-sparse-moe-model-for-agentic-workflows-that-runs-on-as-few-as-two-h100-gpus/)
- [Command A+ live demo — Hugging Face Space](https://huggingface.co/spaces/CohereLabs/command-a-plus-05-2026)
- [Artificial Analysis benchmarks (artificialanalysis.ai)](https://artificialanalysis.ai/articles/cohere-launches-open-weights-model-command-a-more-than-a-year-since-the-command-a-release)

Source: AI/TLDR LLM registry, https://ai-tldr.dev/models/command-a-plus-05-2026/