AI model comparison

o1-pro vs Command A

Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.

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OpenAI

o1-pro

The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning.

Input / 1M
$150
Output / 1M
$600
Context
200K
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Cohere

Command A

Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases.

Input / 1M
$2.50
Output / 1M
$10
Context
256K

At a glance

Quick verdict

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

Lower price

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Command A

60x cheaper for a typical chat

Higher intelligence score

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Command A

13.1 vs 12.4 on Artificial Analysis

Larger context window

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Command A

256K vs 200K tokens

Newer release

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o1-pro

Released March 19, 2025

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

openai logoo1-pro12.4
cohere logoCommand A13.1

Coding index

openai logoo1-proNot available
cohere logoCommand A27.8

Agentic index

openai logoo1-proNot available
cohere logoCommand A1

Pricing

o1-pro vs Command A API pricing

Per-token API rates. Cheaper option highlighted.

Metricopenai logoo1-procohere logoCommand A
Input tokensPer 1M tokens$150$2.50
Output tokensPer 1M tokens$600$10
Cached input (read)Per 1M tokensNot availableNot available
Cache writePer 1M tokensNot availableNot available
Web searchPer request$0.01Not 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

openai logoo1-pro$600
cohere logoCommand A$10

Coding task

30K in, 4K out

openai logoo1-pro$6900
cohere logoCommand A$115

Long document summary

150K in, 2K out

openai logoo1-pro$23700
cohere logoCommand A$395

Specs

Context window and capabilities

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

Metricopenai logoo1-procohere logoCommand A
Context window200K tokens256K tokens
Max output100K tokens8K tokens
Input typesFile, Image, TextText
Output typesTextText
Reasoning effort levelsNot availableNot available
Default reasoning effortNot availableNot available
Release dateMarch 19, 2025March 13, 2025

Features

Supported features

API features available for each model.

Metricopenai logoo1-procohere logoCommand A
Tool callingNot supportedNot supported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedNot supported
TemperatureNot supportedSupported
Stop sequencesNot supportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

Command A is 60x cheaper for a typical chat. Command A scores higher on the Artificial Analysis Intelligence Index (13.1 vs 12.4). Command A has the larger context window (256K vs 200K 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 o1-pro or Command A cheaper?

Command A is cheaper for a typical chat (2K input tokens and 500 output tokens). Command A costs $2.50 per 1M input tokens and $10 per 1M output tokens, while o1-pro costs $150 per 1M input tokens and $600 per 1M output tokens.

Which has a bigger context window, o1-pro or Command A?

Command A supports up to 256K tokens of context, compared with 200K for o1-pro.

Is o1-pro smarter than Command A?

On the Artificial Analysis Intelligence Index, o1-pro scores 12.4 and Command A scores 13.1, putting Command A ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use o1-pro and Command A at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see o1-pro and Command A answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to o1-pro and Command A at the same time. Compare the answers side by side and keep the best one.