Amazon Nova Pro vs Llama 3.1 70B (Bedrock): API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Amazon Nova Pro (AWS Bedrock) and Llama 3.1 70B (Bedrock) (AWS Bedrock). 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
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Showing costs for 2 models. Cheapest: Amazon Nova Pro at $24.00/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestAmazon Nova Pro | AWS Bedrock | $24.00 | $0.002400 | $8.00 | $16.00 | 25.7% | Alerts coming soon |
Llama 3.1 70B (Bedrock) | AWS Bedrock | $32.30 | $0.003230 | $19.50 | $12.80 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Amazon Nova Pro | Llama 3.1 70B (Bedrock) | Cheaper |
|---|---|---|---|
| Input (standard) | $0.80/M | $1.95/M | Amazon Nova Pro |
| Output | $3.20/M | $2.56/M | Llama 3.1 70B (Bedrock) |
Prices last verified: 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.
| Volume | Amazon Nova ProMonthly | Llama 3.1 70B (Bedrock)Monthly | Amazon Nova ProPer request | Llama 3.1 70B (Bedrock)Per request |
|---|---|---|---|---|
| 1K requests/mo | $2.40 | $3.23 | $0.002400 | $0.003230 |
| 10K requests/mo | $24.00 | $32.30 | $0.002400 | $0.003230 |
| 100K requests/mo | $240.00 | $323.00 | $0.002400 | $0.003230 |
| 1M requests/mo | $2,400.00 | $3,230.00 | $0.002400 | $0.003230 |
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 tokensWhen to Choose Amazon Nova Pro
by AWS Bedrock
- Data extraction
- Rag Retrieval
- Content Creation
Input / 1M tokens
$0.80/M
Output / 1M tokens
$3.20/M
Context window
300,000
Tier
mid
When to Choose Llama 3.1 70B (Bedrock)
by AWS Bedrock
- General chatbot
- Summarization
- Rag Retrieval
Input / 1M tokens
$1.95/M
Output / 1M tokens
$2.56/M
Context window
128,000
Tier
mid
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.
| Capability | Amazon Nova Pro | Llama 3.1 70B (Bedrock) |
|---|---|---|
| Context window | 300,000 tokens | 128,000 tokens |
| Max output tokens | 5,120 tokens | 4,096 tokens |
| Performance tier | Mid | Mid |
| Vision / image input | Yes | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | No |
| Batch API (50% discount) | Yes | Yes |
| Extended reasoning | No | No |
| Fine-tuning | Yes | No |
Amazon Nova Pro notes
Amazon's own frontier model. Supports vision, video, and document inputs. Best Amazon-native option for multimodal enterprise workloads.
Llama 3.1 70B (Bedrock) notes
Meta Llama 3.1 70B via AWS Bedrock. Good balance of capability and cost for enterprise workloads requiring open-weight model governance.
Frequently Asked Questions
Is Amazon Nova Pro cheaper than Llama 3.1 70B (Bedrock)?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Amazon Nova Pro costs $240.00/month versus $323.00/month for Llama 3.1 70B (Bedrock) — a 26% 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, Amazon Nova Pro or Llama 3.1 70B (Bedrock)?
Amazon Nova Pro has a larger context window at 300,000 tokens, compared to 128,000 tokens for Llama 3.1 70B (Bedrock). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Amazon Nova Pro and Llama 3.1 70B (Bedrock) support the Batch API?
Yes — both Amazon Nova Pro and Llama 3.1 70B (Bedrock) support batch API processing, which offers a 50% discount on input and output costs in exchange for up to 24-hour turnaround. Ideal for offline workloads like bulk document processing or nightly classification pipelines.
Which model offers better prompt caching?
Neither Amazon Nova Pro nor Llama 3.1 70B (Bedrock) 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 Amazon Nova Pro vs Llama 3.1 70B (Bedrock)?
Both models are well-suited for Rag Retrieval. Amazon Nova Pro is particularly strong for Data extraction, Content Creation. Llama 3.1 70B (Bedrock) is favored for General chatbot, Summarization. At the same quality level, the lower-cost model is usually preferable; use this page's calculator to compare total monthly spend at your volume.
What is the cost per request for Amazon Nova Pro vs Llama 3.1 70B (Bedrock)?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Amazon Nova Pro costs $0.002400 per request and Llama 3.1 70B (Bedrock) costs $0.003230 per request. At 100,000 requests/month, that translates to $240.00 and $323.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Amazon Nova Pro vs Llama 3.1 70B (Bedrock): Summary
When comparing Amazon Nova Pro and Llama 3.1 70B (Bedrock) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Amazon Nova Pro offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $240.00/month, compared to $323.00/month for Llama 3.1 70B (Bedrock).
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Amazon Nova Pro charges $0.80/M for input tokens and $3.20/M for output tokens. Llama 3.1 70B (Bedrock) charges $1.95/M input and $2.56/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: Amazon Nova Pro supports up to 300,000 tokens in a single request, versus 128,000 tokens for Llama 3.1 70B (Bedrock). 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.
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Relevant Use Cases
See cost recommendations for workloads where Amazon Nova Pro or Llama 3.1 70B (Bedrock) is recommended.