Command-R (Mar ’24)

Command-R (Mar ’24)

Cohere · Released Mar 12, 2024
Intelligence #515 / 650
22.2 our score
AA Index #381 / 401
2.1 Artificial Analysis
Input Price #415 / 688
$0.500 per 1M tokens
Output Price #394 / 688
$1.50 per 1M tokens
Context
Not reported

Analysis Summary

Cohere's Command-R was designed for retrieval-augmented generation and lightweight enterprise use cases at launch, but its reasoning, coding, and science benchmarks now sit well behind current models. Pricing is modest but performance limits its practical value.

It can still handle basic summarisation, classification, or simple RAG pipelines where deep reasoning isn't required, but is a poor fit for coding, agentic automation, or nuanced content generation.

Businesses with existing Cohere integrations may keep it for low-complexity tasks, but new adopters should look at newer Command models instead.

Assessed July 29, 2026

Editorial notes

Command-R (Mar '24) from Cohere is an older, lower-capability model with modest reasoning and coding scores, best suited to simple retrieval-style tasks.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

DFO Verdict

Command-R (Mar '24) from Cohere is an older, lower-capability model with modest reasoning and coding scores, best suited to simple retrieval-style tasks.

#515 of 650 overall

Benchmark scores

GPQA Diamond 28.4%
HLE 4.8%
MMLU Pro 33.8%
MATH 500 16.4%
AIME 0.7%
SciCode 6.3%
LiveCodeBench 4.8%

Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.

2.1 Intelligence Index

How Command-R (Mar ’24) compares

Command-R (Mar ’24) ranks #381 of 401 AI models we track for overall intelligence. At $0.50 per million input tokens it is cheaper than 40% of comparable models.

Position in the field
Intelligence: smarter than 21% of models #515
Price: cheaper than 40% of models #415
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
Command-R (Mar ’24) $0.50 in $1.50 out
Anthropic: Claude Fable 5 $10.00 in $50.00 out
Claude Opus 5 $5.00 in $25.00 out
Anthropic: Claude Opus 4.8 $5.00 in $25.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Intelligence0.9Technical0Value6.5Content2
Performance profile

Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.

Compare shapes side-by-side →

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.50 $0.000500
Output $1.50 $0.001500

What would Command-R (Mar ’24) cost your business?

Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.

A website chatbot handling around 100 customer conversations a day, a few short messages each.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

Full calculator with 688 models → Price Calculator

DFO AI AUTOMATION

These numbers get smaller with the right architecture.

We route routine calls to cheap models and save Command-R (Mar ’24) for the hard ones. Most clients cut their estimate by 60-80%.

Talk to our team

Frequently asked questions about Command-R (Mar ’24)

How much does Command-R (Mar ’24) cost?

Command-R (Mar ’24) costs $0.50 per million input tokens and $1.50 per million output tokens.

Who created Command-R (Mar ’24)?

Command-R (Mar ’24) is developed by Cohere and was released on March 12, 2024.

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