Command R+ vs Llama 4 Scout
Command R+ vs Llama 4 Scout: Llama 4 Scout is cheaper for input-heavy usage ($0.08/M vs $2.50/M input tokens), while Llama 4 Scout is better for long-context tasks (10,000,000 tokens).
Direct answer: choose Llama 4 Scout for lower token spend and choose Llama 4 Scout 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 4 Scout
Cost Differences
Llama 4 Scout costs less than Command R+
Quick Recommendation
Winner for direct API pricing: Llama 4 Scout. At the default workload, Llama 4 Scout saves about $21.81/month ($265.355/year) versus Command R+.
Feature Comparison
| Feature | Command R+ | Llama 4 Scout |
|---|---|---|
| Provider | Cohere | Meta (via Together AI) |
| Input Price | $2.50/1M tokens | $0.08/1M tokens |
| Output Price | $10.00/1M tokens | $0.30/1M tokens |
| Context Window | 128,000 tokens | 10,000,000 tokens |
| Max Output | 4,096 tokens | 32,768 tokens |
| Category | flagship | efficient |
| Capabilities | textcodereasoning | textvisioncode |
| Release Date | 4/4/2024 | 4/5/2025 |
Command R+ vs Llama 4 Scout: Which Should You Choose?
Choosing between Command R+ and Llama 4 Scout depends on your priorities: cost efficiency, context length, or raw capability. Llama 4 Scout is the more affordable option at $0.08/1M input tokens — 97% cheaper than Command R+. Meanwhile, Llama 4 Scout offers a significantly larger context window at 10,000,000 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 flagship model while Llama 4 Scout is efficient. This means they're optimized for different workloads. Command R+ is built for complex tasks that require deeper reasoning, while Llama 4 Scout offers better value for routine operations.
Output costs matter too. Command R+ charges $10.00/1M output tokens vs $0.30 for Llama 4 Scout. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 4 Scout has the edge here at $0.30/1M output tokens.
Multimodal capabilities: Llama 4 Scout 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:
- • You're already using Cohere's API ecosystem
Choose Llama 4 Scout when:
- • Budget is a primary concern
- • You need a larger context window (10,000,000 tokens)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using Meta (via Together AI)'s API ecosystem
- • You're running high-volume, latency-sensitive workloads
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 4 Scout
- • Higher output cost than Llama 4 Scout
- • Smaller context window than Llama 4 Scout
Llama 4 Scout
- • Input pricing: $0.08/M tokens
- • Output pricing: $0.30/M tokens
- • Context window: 10,000,000 tokens
- • Max output: 32,768 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 4 Scout (Meta (via Together AI))
Start using Command R+ today
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, Command R+ or Llama 4 Scout?▼
What is the context window difference between Command R+ and Llama 4 Scout?▼
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?▼
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