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Command R+ vs Llama 3.1 405B (SambaNova): API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Command R+ (Cohere) and Llama 3.1 405B (SambaNova) (SambaNova). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Mar 11, 2026

Interactive Cost Calculator

CohereCommand R+SambaNovaLlama 3.1 405B (SambaNova)

Fills in typical token counts for a workload type

Tokens in each prompt sent to the model

Tokens generated in each response

Total API calls per month

Showing costs for 2 models. Cheapest: Command R+ at $75.00/month.

Cheapest: Command R+ at $75.00/mo — save 25.0% vs Llama 3.1 405B (SambaNova)
Alert
BestCommand R+
Cohere$75.00$0.007500$25.00$50.0025.0%Alerts coming soon
Llama 3.1 405B (SambaNova)
SambaNova$100.00$0.010000$50.00$50.00Alerts coming soon

Monthly Cost Comparison

Price Comparison at a Glance

All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.

Pricing TypeCommand R+Llama 3.1 405B (SambaNova)Cheaper
Input (standard)$2.50/M$5.00/MCommand R+
Output$10.00/M$10.00/M

Prices last verified: 2026-03-06 – 2026-03-11

Cost Breakdown by Usage Volume

Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.

VolumeCommand R+MonthlyLlama 3.1 405B (SambaNova)MonthlyCommand R+Per requestLlama 3.1 405B (SambaNova)Per request
1K requests/mo$7.50$10.00$0.007500$0.010000
10K requests/mo$75.00$100.00$0.007500$0.010000
100K requests/mo$750.00$1,000.00$0.007500$0.010000
1M requests/mo$7,500.00$10,000.00$0.007500$0.010000

Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.

Price History

Input price per 1M tokens

When to Choose Command R+

by Cohere

  • RAG / Semantic search
  • Document summarization
  • Data extraction

Input / 1M tokens

$2.50/M

Output / 1M tokens

$10.00/M

Context window

128,000

Tier

premium

When to Choose Llama 3.1 405B (SambaNova)

by SambaNova

  • Code generation
  • Content Creation
  • General chatbot

Input / 1M tokens

$5.00/M

Output / 1M tokens

$10.00/M

Context window

128,000

Tier

premium

Key Differences Beyond Price

Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.

CapabilityCommand R+Llama 3.1 405B (SambaNova)
Context window128,000 tokens128,000 tokens
Max output tokens4,096 tokens8,192 tokens
Performance tierPremiumPremium
Vision / image inputNoNo
Function callingYesYes
JSON modeYesYes
Prompt cachingNoNo
Batch API (50% discount)NoNo
Extended reasoningNoNo
Fine-tuningNoNo

Command R+ notes

Optimized for RAG with built-in document grounding and citation generation.

Llama 3.1 405B (SambaNova) notes

Llama 3.1 405B served on SambaNova's custom DataScale AI chips for maximum throughput. Open-source weights with enterprise reliability.

Frequently Asked Questions

Is Command R+ cheaper than Llama 3.1 405B (SambaNova)?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Command R+ costs $750.00/month versus $1,000.00/month for Llama 3.1 405B (SambaNova) — a 25% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.

Which model has a larger context window, Command R+ or Llama 3.1 405B (SambaNova)?

Both Command R+ and Llama 3.1 405B (SambaNova) have the same context window: 128,000 tokens.

Do Command R+ and Llama 3.1 405B (SambaNova) support the Batch API?

Neither Command R+ nor Llama 3.1 405B (SambaNova) currently supports a batch API with discounted pricing. For batch-eligible alternatives, consider models from OpenAI, Anthropic, or Google that include batch API support.

Which model offers better prompt caching?

Neither Command R+ nor Llama 3.1 405B (SambaNova) currently supports prompt caching. For prompt-caching capable alternatives, consider Claude models from Anthropic or GPT-4o from OpenAI.

What are the best use cases for Command R+ vs Llama 3.1 405B (SambaNova)?

Command R+ is best suited for RAG / Semantic search, Document summarization, Data extraction, while Llama 3.1 405B (SambaNova) is optimized for Code generation, Content Creation, General chatbot. Choose based on which use case matches your primary workload — and validate with the cost calculator above to confirm the total monthly spend fits your budget.

What is the cost per request for Command R+ vs Llama 3.1 405B (SambaNova)?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Command R+ costs $0.007500 per request and Llama 3.1 405B (SambaNova) costs $0.010000 per request. At 100,000 requests/month, that translates to $750.00 and $1,000.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Command R+ vs Llama 3.1 405B (SambaNova): Summary

When comparing Command R+ and Llama 3.1 405B (SambaNova) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Command R+ offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $750.00/month, compared to $1,000.00/month for Llama 3.1 405B (SambaNova).

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Command R+ charges $2.50/M for input tokens and $10.00/M for output tokens. Llama 3.1 405B (SambaNova) charges $5.00/M input and $10.00/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.

Context window capacity differs between the two: Both models support 128,000 tokens per request. A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.

Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.

Explore other model comparisons from the same providers or performance tiers.

Related Provider Pages

View complete pricing tables and model lineups for the providers behind these models.

Relevant Use Cases

See cost recommendations for workloads where Command R+ or Llama 3.1 405B (SambaNova) is recommended.