AI model comparison

Command A+ vs R1 0528

Side by side comparison of Command A+ and R1 0528 on pricing, benchmark scores, context window, and more.

Command A+ is Cohere's flagship model for enterprise agentic workflows.

Input / 1M
$0.30
Output / 1M
$1.50
Context
192K

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens.

Input / 1M
$0.50
Output / 1M
$2.15
Context
164K

Comparing image generators? Compare image models

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

cohere logo

Command A+

1.5x cheaper for a typical chat

Higher intelligence score

Tie

Both scored 13.1 on Artificial Analysis

Larger context window

cohere logo

Command A+

192K vs 164K tokens

Newer release

cohere logo

Command A+

Released September 22, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

cohere logoCommand A+13.1
deepseek logoR1 052813.1

Coding index

cohere logoCommand A+27.8
deepseek logoR1 0528Not available

Agentic index

cohere logoCommand A+1
deepseek logoR1 0528Not available

Pricing

Command A+ vs R1 0528 API pricing

Per-token API rates. Cheaper option highlighted.

Metriccohere logoCommand A+deepseek logoR1 0528
Input tokensPer 1M tokens$0.30$0.50
Output tokensPer 1M tokens$1.50$2.15
Cached input (read)Per 1M tokens$0.15$0.35
Cache writePer 1M tokensNot availableNot available

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

cohere logoCommand A+$1.35
deepseek logoR1 0528$2.08

Coding task

30K in, 4K out

cohere logoCommand A+$15$10.50 cached
deepseek logoR1 0528$23.60$19.10 cached

Long document summary

150K in, 2K out

cohere logoCommand A+$48$25.50 cached
deepseek logoR1 0528$79.30$56.80 cached

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metriccohere logoCommand A+deepseek logoR1 0528
Context window192K tokens164K tokens
Max output64K tokens33K tokens
Input typesImage, TextText
Output typesTextText
Reasoning effort levelsNot availableNot available
Default reasoning effortNot availableNot available
Release dateSeptember 22, 2026May 28, 2025

Features

Supported features

API features available for each model.

Metriccohere logoCommand A+deepseek logoR1 0528
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

Command A+ is 1.5x cheaper for a typical chat. Command A+ has the larger context window (192K vs 164K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is Command A+ or R1 0528 cheaper?

Command A+ is cheaper for a typical chat (2K input tokens and 500 output tokens). Command A+ costs $0.30 per 1M input tokens and $1.50 per 1M output tokens, while R1 0528 costs $0.50 per 1M input tokens and $2.15 per 1M output tokens.

Which has a bigger context window, Command A+ or R1 0528?

Command A+ supports up to 192K tokens of context, compared with 164K for R1 0528.

Is Command A+ smarter than R1 0528?

On the Artificial Analysis Intelligence Index, Command A+ and R1 0528 both score 13.1. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use Command A+ and R1 0528 at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Command A+ and R1 0528 answer side by side and keep the better response.

cohere logodeepseek logo

Why choose? Ask both.

Send one prompt to Command A+ and R1 0528 at the same time. Compare the answers side by side and keep the best one.