Command R vs Llama 4 Maverick

Command R vs Llama 4 Maverick: Command R is cheaper for input-heavy usage ($0.15/M vs $0.27/M input tokens), while Llama 4 Maverick is better for long-context tasks (1,000,000 tokens).

Direct answer: choose Command R for lower token spend and choose Llama 4 Maverick when your workload needs longer context.

Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.

Cohere

Command R

Meta (via Together AI)

Llama 4 Maverick

Try Cohere →Try Meta (via Together AI) →

Command R pricing page Llama 4 Maverick pricing page Cohere provider overview Meta (via Together AI) provider overview

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Command R

Per Request:$0.000450

Daily:$0.045

Monthly:$1.35

Yearly:$16.425

Llama 4 Maverick

Per Request:$0.000695

Daily:$0.0695

Monthly:$2.085

Yearly:$25.3675

Cost Differences

+$0.000245

Per Request

+$0.0245

Daily

+$0.735

Monthly

+$8.9425

Yearly

Llama 4 Maverick costs more than Command R

Quick Recommendation

Winner for direct API pricing: Command R. At the default workload, Command R saves about $0.735/month ($8.9425/year) versus Llama 4 Maverick.

Command R full pricing breakdown Llama 4 Maverick full pricing breakdown Cohere API pricing details Meta (via Together AI) API pricing details Cohere vs Meta (via Together AI) API pricing Codex Mini vs Llama 4 Scout Codex Mini vs Llama 4 Maverick

Feature Comparison

Feature	Command R	Llama 4 Maverick
Provider	Cohere	Meta (via Together AI)
Input Price	$0.15/1M tokens	$0.27/1M tokens
Output Price	$0.60/1M tokens	$0.85/1M tokens
Context Window	128,000 tokens	1,000,000 tokens
Max Output	4,096 tokens	65,536 tokens
Category	efficient	flagship
Capabilities	textcode	textvisioncode
Release Date	3/11/2024	4/5/2025

Command R vs Llama 4 Maverick: Which Should You Choose?

Choosing between Command R and Llama 4 Maverick depends on your priorities: cost efficiency, context length, or raw capability. Command R is the more affordable option at $0.15/1M input tokens — 44% cheaper than Llama 4 Maverick. Meanwhile, Llama 4 Maverick offers a significantly larger context window at 1,000,000 tokens vs 128,000 for Command R.

These models come from different providers — Cohere and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Cohere, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: Command R is a efficient model while Llama 4 Maverick is flagship. This means they're optimized for different workloads. Llama 4 Maverick targets more demanding workloads, while Command R provides a cost-effective option for everyday tasks.

Output costs matter too. Command R charges $0.60/1M output tokens vs $0.85 for Llama 4 Maverick. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Command R has the edge here at $0.60/1M output tokens.

Multimodal capabilities: Llama 4 Maverick supports vision (image inputs) while Command R is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Command R when:

• Budget is a primary concern
• You're already using Cohere's API ecosystem
• You're running high-volume, latency-sensitive workloads

Choose Llama 4 Maverick when:

• You need a larger context window (1,000,000 tokens)
• You need more capabilities (vision)
• You need longer outputs (up to 65,536 tokens)
• You're already using Meta (via Together AI)'s API ecosystem

Pros and Caveats at a Glance

Command R

• Input pricing: $0.15/M tokens
• Output pricing: $0.60/M tokens
• Context window: 128,000 tokens
• Max output: 4,096 tokens

Watch out for

• Smaller context window than Llama 4 Maverick

Llama 4 Maverick

• Input pricing: $0.27/M tokens
• Output pricing: $0.85/M tokens
• Context window: 1,000,000 tokens
• Max output: 65,536 tokens

Watch out for

• Higher input cost than Command R
• Higher output cost than Command R

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Command R (Cohere)

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

Select a provider and model to see costs

Llama 4 Maverick (Meta (via Together AI))

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

Select a provider and model to see costs

Start using Command R today

Start using Llama 4 Maverick today

Frequently Asked Questions

Which is cheaper, Command R or Llama 4 Maverick?▼

Command R is cheaper for input tokens at $0.15 per million tokens vs $0.27 for Llama 4 Maverick — that's 44% savings on input costs.

What is the context window difference between Command R and Llama 4 Maverick?▼

Command R supports 128,000 tokens while Llama 4 Maverick supports 1,000,000 tokens — a difference of 872,000 tokens in favor of Llama 4 Maverick.

Which model is better for AI Chatbot?▼

Both models support text. For ai chatbot, Command R is the lower-cost option, while Llama 4 Maverick offers a larger context window (1,000,000 vs 128,000 tokens). Choose Command R for budget sensitivity or Llama 4 Maverick for longer context tasks.

Which model has better overall pricing for heavy usage?▼

At 100 requests/day with 1,000 input and 500 output tokens each, Command R costs about $1.35/month and Llama 4 Maverick costs about $2.085/month. Overall, Command R has lower combined input + output rates ($0.15 in, $0.60 out) vs Llama 4 Maverick.

Where can I compare Cohere and Meta (via Together AI) API pricing beyond this model matchup?▼

See the Cohere vs Meta (via Together AI) provider comparison page for lineup-level averages, then review each model page for exact per-token rates.