Command R7B

The smallest in Cohere's Command R series at 7B parameters, released December 2024, light enough for a single GPU with RAG and multilingual support. Weights under CC-BY-NC.

Params: 7B
Context: 128K tokens
Max output: 4K
Released: Dec 2024
License: CC-BY-NC

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Hosted API price

List price via Cohere · per 1M tokens

USD

Input: $0.04 /1M
Output: $0.15 /1M
Hosted by: 1 provider

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 R7B, cheapest input first. Set your monthly volume to see what each would bill.

Input M Output M

Every provider serving Command R7B, 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
Cohere Creator	$0.04	$0.15	$0.70	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 R7B needs about 7 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 1× RTX 2070 at about $50 a month.

That costs the same as roughly 864M tokens a month on Cohere's API. Self-hosting is more expensive below that volume.

Fits on 1 Single node ≤ 8

What it costs to self-host Command R7B 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	7 GB10 GB	1× RTX 2070	$50$58	864M tokens /mo987M tokens /mo
8-bit FP8 / INT8	10 GB11 GB	1× RTX 3060	$58$94	987M tokens /mo2B tokens /mo
16-bit FP16 / BF16	17 GB20 GB	2× RTX 3060	$115$115	2B tokens /mo2B 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. Pricing methodology.

Similarly priced models

The models nearest Command R7B by blended rate, each at its own cheapest provider.

Models priced nearest Command R7B per 1M tokens, each at its cheapest provider
Model	Blended /1M	Input /1M	Output /1M	Context	Cutoff	vs Command R7B
Llama 3.1 8B Meta	$0.025	$0.02	$0.05	131K	Dec 2023	−57%
DeepSeek OCR-2 DeepSeek	$0.03	$0.03	$0.03	8K		−49%
Qwen3.7-Flash Alibaba Cloud	$0.0467	$0.03	$0.13	1M		−20%
GPT-OSS-20B OpenAI	$0.0483	$0.03	$0.14	131K	Jun 2024	−17%
Llama 3.2 1B Meta	$0.056	$0.027	$0.201	128K	Dec 2023	−4%
Command R7B This model Cohere	$0.0583	$0.04	$0.15	128K
Gemma 3 12B Instruct Google Cloud	$0.0583	$0.05	$0.10	128K	Aug 2024	0%
GPT-OSS-120B OpenAI	$0.0628	$0.039	$0.182	131K	Jun 2024	+8%
Nemotron 3 Nano 30B A3B Nvidia	$0.075	$0.05	$0.20	262K	Jun 2025	+29%
Llama 3 8B Meta	$0.0833	$0.05	$0.25	8K	Mar 2023	+43%
Qwen3-Coder-30B-A3B Alibaba Cloud	$0.0917	$0.06	$0.25	262K		+57%

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.

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Capabilities

What Command R7B accepts and can do, as published by Cohere.

Text Accepts and generates natural-language text.
Function calling Connect to external tools, APIs, and systems.
Structured output Return responses in structured formats like JSON.

Common questions

What is Command R7B good for?

High-volume RAG, tool use and multilingual tasks. CC-BY-NC weights at the light end of Cohere's lineup, small enough for a single consumer GPU.

When is Command R7B not a good fit?

Image input: it is text only. Commercial self-hosting needs a separate licence from Cohere, and its short maximum output limits long answers.

What is the cheapest way to run Command R7B?

Hosted, unless you push serious volume. Cohere charges $0.04 in / $0.15 out per 1M tokens. The cheapest rental that fits is 1x RTX 2070 at $50 a month, which costs the same as about 864M tokens a month on that API.

Can I self-host Command R7B?

Yes. The weights are CC-BY-NC licensed. At 4-bit it needs about 7 GB of GPU memory, which starts at roughly $50 a month on the cheapest rental that fits.