Command R+ vs Llama 3.3 70B

Compare Cohere and Meta (via Together AI) AI models

Cohere

Command R+

Meta (via Together AI)

Llama 3.3 70B

Try Cohere →Try Meta (via Together AI) →

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

Command R+

Per Request:$0.007500

Daily:$0.75

Monthly:$22.50

Yearly:$273.75

Llama 3.3 70B

Per Request:$0.001320

Daily:$0.132

Monthly:$3.96

Yearly:$48.18

Cost Differences

$0.006180

Per Request

$0.618

Daily

$18.54

Monthly

$225.57

Yearly

Llama 3.3 70B costs less than Command R+

Feature Comparison

Feature	Command R+	Llama 3.3 70B
Provider	Cohere	Meta (via Together AI)
Input Price	$2.50/1M tokens	$0.88/1M tokens
Output Price	$10.00/1M tokens	$0.88/1M tokens
Context Window	128,000 tokens	131,072 tokens
Max Output	4,096 tokens	4,096 tokens
Category	flagship	standard
Capabilities	textcodereasoning	textcode
Release Date	4/4/2024	12/6/2024

Command R+ vs Llama 3.3 70B: Which Should You Choose?

Choosing between Command R+ and Llama 3.3 70B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.3 70B is the more affordable option at $0.88/1M input tokens — 65% cheaper than Command R+. Meanwhile, Llama 3.3 70B offers a significantly larger context window at 131,072 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 flagship model while Llama 3.3 70B is standard. This means they're optimized for different workloads. Command R+ is built for complex tasks that require deeper reasoning, while Llama 3.3 70B offers better value for routine operations.

Output costs matter too. Command R+ charges $10.00/1M output tokens vs $0.88 for Llama 3.3 70B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.3 70B has the edge here at $0.88/1M output tokens.

Best Use Cases

Choose Command R+ when:

• You need more capabilities (reasoning)
• You're already using Cohere's API ecosystem

Choose Llama 3.3 70B when:

• Budget is a primary concern
• You need a larger context window (131,072 tokens)
• You're already using Meta (via Together AI)'s API ecosystem

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

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Llama 3.3 70B (Meta (via Together AI))

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

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Start using Command R+ today

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Frequently Asked Questions

Which is cheaper, Command R+ or Llama 3.3 70B?▼

Llama 3.3 70B is cheaper for input tokens at $0.88 per million tokens vs $2.50 for Command R+ — that's 65% savings on input costs.

What is the context window difference between Command R+ and Llama 3.3 70B?▼

Command R+ supports 128,000 tokens while Llama 3.3 70B supports 131,072 tokens — a difference of 3,072 tokens in favor of Llama 3.3 70B.

Which model is better for AI Chatbot?▼

Both models support text. For ai chatbot, Llama 3.3 70B is the lower-cost option, while Llama 3.3 70B offers a larger context window (131,072 vs 128,000 tokens). Choose Llama 3.3 70B for budget sensitivity or Llama 3.3 70B 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 $22.50/month and Llama 3.3 70B costs about $3.96/month. Overall, Llama 3.3 70B has lower combined input + output rates ($0.88 in, $0.88 out) vs Command R+.