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Command A+

Command A+

Cohere's first mixture-of-experts model, released May 2026 with 218B total parameters (25B active), combining vision, agentic work, optional reasoning and translation across 48 languages. Apache 2.0.

Params: 218B, 25B active
Context: 128K tokens
Max output: 64K
Released: May 2026
License: Apache 2.0

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Hosted API price

Cheapest via Azure · per 1M tokens

USD

Input: $0.80 /1M
Output: $3.20 /1M
Hosted by: 2 providers

Hosted API pricing

How we price

Order

Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.

Prices

Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.

Cost

Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.

Transparency and funding

Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.

Every provider serving Command A+, cheapest input first. Set your monthly volume to see what each would bill.

Input M Output M

Every provider serving Command A+, with its price per 1M input and output tokens and what the volume above would cost
Provider	Input /1M	Output /1M	Cost at 10M in + 2M out	Link
Azure	$0.80	$3.20	$14.40	Visit website
Cohere Creator	Open weights, no hosted price			Visit website

Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.

Estimated cost to self-host

Command A+ needs about 123 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× RTX 3090 at about $1,267 a month.

That costs the same as roughly 1B tokens a month on Azure's API. Self-hosting is more expensive below that volume.

Single node ≤ 8

What it costs to self-host Command A+ at each precision: the memory it needs, the cheapest rental that holds it, that rental's month and the API volume it pays off at
Precision	Memory	Cheapest fit (32K context)(Full 128K context)	Cost /mo	Break-even vs API
4-bit INT4 / FP4	123 GB126 GB	8× RTX 3090	$1,267$1,267	1B tokens /mo1B tokens /mo
8-bit FP8 / INT8	221 GB224 GB	8× A40	$2,822$2,822	2B tokens /mo2B tokens /mo
16-bit FP16 / BF16	439 GB442 GB	8× A100	$10,138$10,138	8B tokens /mo8B tokens /mo

Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.

Similarly priced models

The models nearest Command A+ by blended rate, each at its own cheapest provider.

Models priced nearest Command A+ per 1M tokens, each at its cheapest provider
Model	Blended /1M	Input /1M	Output /1M	Context	Cutoff	vs Command A+
DeepSeek R1 Turbo DeepSeek	$1.00	$0.70	$2.50	64K		−17%
Llama 3 70B Meta	$1.00	$0.65	$2.75	8K	Dec 2023	−17%
Qwen3-VL-235B-A22B Thinking Alibaba Cloud	$1.00	$0.40	$4.00	262K		−17%
Kimi K2.6 Moonshot AI	$1.0333	$0.60	$3.20	262K		−14%
Grok Build 0.1 xAI	$1.1667	$1.00	$2.00	256K		−3%
Command A+ This model Cohere	$1.20	$0.80	$3.20	128K
GLM-5.1 Z.AI	$1.2417	$0.83	$3.30	205K		+3%
Gemini 3.6 Flash Google Cloud	$1.25	$0.75	$3.75	1M	Mar 2026	+4%
Gemini 3.7 Flash Google Cloud	$1.25	$0.75	$3.75	1M	Mar 2026	+4%
Gemini 3.8 Flash Google Cloud	$1.25	$0.75	$3.75	1M	Mar 2026	+4%
Qwen3-Max Alibaba Cloud	$1.2717	$0.85	$3.38	262K		+6%

USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.

Lyceum

NVIDIA H200 from $2.20/hr, B200 from $3.40/hr, B300 from $3.80/hr

Per-second billing with no minimum commitment or vendor lock-in

Scale to 8,000 GPUs over InfiniBand for distributed AI training

View Pricing

Capabilities

What Command A+ accepts and can do, as published by Cohere.

Text Accepts and generates natural-language text.
Image Accepts images as input alongside text.
Reasoning Thinks before it answers, always on or as a switchable mode.
Function calling Connect to external tools, APIs, and systems.
Structured output Return responses in structured formats like JSON.

Common questions

What is Command A+ good for?

Complex agent workflows that mix images and text, in 48 languages, with optional reasoning. Apache 2.0 weights allow commercial self-hosting, on a multi-GPU node.

When is Command A+ not a good fit?

Audio or video input: it takes text and images. Self-hosting takes a multi-GPU node, well above the dense Command A models in the same lineup.

What is the cheapest way to run Command A+?

Hosted, unless you push serious volume. Azure charges $0.80 in / $3.20 out per 1M tokens. The cheapest rental that fits is 8x RTX 3090 at $1,267 a month, which costs the same as about 1B tokens a month on that API.

Can I self-host Command A+?

Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 123 GB of GPU memory, which starts at roughly $1,267 a month on the cheapest rental that fits.