Claude Fable 5 vs Llama 3.1 8B (Bedrock): API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Claude Fable 5 (Anthropic) and Llama 3.1 8B (Bedrock) (AWS Bedrock). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Jun 26, 2026
Interactive Cost Calculator
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Showing costs for 2 models. Cheapest: Llama 3.1 8B (Bedrock) at $3.30/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestLlama 3.1 8B (Bedrock) | AWS Bedrock | $3.30 | $0.000330 | $2.20 | $1.10 | 99.1% | Alerts coming soon |
Claude Fable 5 | Anthropic | $350.00 | $0.035000 | $100.00 | $250.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Claude Fable 5 | Llama 3.1 8B (Bedrock) | Cheaper |
|---|---|---|---|
| Input (standard) | $10.00/M | $0.22/M | Llama 3.1 8B (Bedrock) |
| Output | $50.00/M | $0.22/M | Llama 3.1 8B (Bedrock) |
Prices last verified: 2026-03-11 – 2026-06-26
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 | Claude Fable 5Monthly | Llama 3.1 8B (Bedrock)Monthly | Claude Fable 5Per request | Llama 3.1 8B (Bedrock)Per request |
|---|---|---|---|---|
| 1K requests/mo | $35.00 | $0.33 | $0.035000 | $0.000330 |
| 10K requests/mo | $350.00 | $3.30 | $0.035000 | $0.000330 |
| 100K requests/mo | $3,500.00 | $33.00 | $0.035000 | $0.000330 |
| 1M requests/mo | $35,000.00 | $330.00 | $0.035000 | $0.000330 |
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 Claude Fable 5
by Anthropic
- General chatbot
Input / 1M tokens
$10.00/M
Output / 1M tokens
$50.00/M
Context window
1,000,000
Tier
premium
When to Choose Llama 3.1 8B (Bedrock)
by AWS Bedrock
- Text classification
- Customer support
- Translation
Input / 1M tokens
$0.22/M
Output / 1M tokens
$0.22/M
Context window
128,000
Tier
budget
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 | Claude Fable 5 | Llama 3.1 8B (Bedrock) |
|---|---|---|
| Context window | 1,000,000 tokens | 128,000 tokens |
| Max output tokens | 128,000 tokens | 4,096 tokens |
| Performance tier | Premium | Budget |
| Vision / image input | Yes | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | No |
| Batch API (50% discount) | No | Yes |
| Extended reasoning | Yes | No |
| Fine-tuning | No | No |
Llama 3.1 8B (Bedrock) notes
Meta Llama 3.1 8B via AWS Bedrock. Extremely cost-effective for bulk processing, routing, and classification tasks.
Frequently Asked Questions
Is Claude Fable 5 cheaper than Llama 3.1 8B (Bedrock)?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Llama 3.1 8B (Bedrock) costs $33.00/month versus $3,500.00/month for Claude Fable 5 — a 99% 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, Claude Fable 5 or Llama 3.1 8B (Bedrock)?
Claude Fable 5 has a larger context window at 1,000,000 tokens, compared to 128,000 tokens for Llama 3.1 8B (Bedrock). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Claude Fable 5 and Llama 3.1 8B (Bedrock) support the Batch API?
Llama 3.1 8B (Bedrock) supports the Batch API (50% discount for async processing), while Claude Fable 5 does not. If your workload tolerates up to 24-hour latency, routing to Llama 3.1 8B (Bedrock) with batch pricing could significantly cut costs versus Claude Fable 5's standard rate.
Which model offers better prompt caching?
Neither Claude Fable 5 nor Llama 3.1 8B (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 Claude Fable 5 vs Llama 3.1 8B (Bedrock)?
Claude Fable 5 is best suited for General chatbot, while Llama 3.1 8B (Bedrock) is optimized for Text classification, Customer support, Translation. 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 Claude Fable 5 vs Llama 3.1 8B (Bedrock)?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Claude Fable 5 costs $0.035000 per request and Llama 3.1 8B (Bedrock) costs $0.000330 per request. At 100,000 requests/month, that translates to $3,500.00 and $33.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Claude Fable 5 vs Llama 3.1 8B (Bedrock): Summary
When comparing Claude Fable 5 and Llama 3.1 8B (Bedrock) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Llama 3.1 8B (Bedrock) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $33.00/month, compared to $3,500.00/month for Claude Fable 5.
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Claude Fable 5 charges $10.00/M for input tokens and $50.00/M for output tokens. Llama 3.1 8B (Bedrock) charges $0.22/M input and $0.22/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: Claude Fable 5 supports up to 1,000,000 tokens in a single request, versus 128,000 tokens for Llama 3.1 8B (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 Claude Fable 5 or Llama 3.1 8B (Bedrock) is recommended.