Command R+ vs Llama 3.3 70B
Command R+ vs Llama 3.3 70B: Llama 3.3 70B is cheaper for input-heavy usage ($0.88/M vs $2.50/M input tokens), while Llama 3.3 70B is better for long-context tasks (131,072 tokens).
Direct answer: choose Llama 3.3 70B for lower token spend and choose Llama 3.3 70B 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.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Command R+
Llama 3.3 70B
Cost Differences
Llama 3.3 70B costs less than Command R+
Quick Recommendation
Winner for direct API pricing: Llama 3.3 70B. At the default workload, Llama 3.3 70B saves about $18.54/month ($225.57/year) versus 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
Pros and Caveats at a Glance
Command R+
- • Input pricing: $2.50/M tokens
- • Output pricing: $10.00/M tokens
- • Context window: 128,000 tokens
- • Max output: 4,096 tokens
Watch out for
- • Higher input cost than Llama 3.3 70B
- • Higher output cost than Llama 3.3 70B
- • Smaller context window than Llama 3.3 70B
Llama 3.3 70B
- • Input pricing: $0.88/M tokens
- • Output pricing: $0.88/M tokens
- • Context window: 131,072 tokens
- • Max output: 4,096 tokens
Watch out for
- • Trade-offs are minor in this matchup.
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Command R+ (Cohere)
Llama 3.3 70B (Meta (via Together AI))
Start using Command R+ today
Sign Up for Cohere →Start using Llama 3.3 70B today
Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, Command R+ or Llama 3.3 70B?▼
What is the context window difference between Command R+ and Llama 3.3 70B?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Cohere and Meta (via Together AI) API pricing beyond this model matchup?▼
Related Comparisons
Related Articles
Learn when to pick each model, then compare live pricing scenarios.