Anthropic Claude on AWS Bedrock vs Together AI
Detailed side-by-side comparison to help you choose the right tool
Anthropic Claude on AWS Bedrock
🔴DeveloperAI Models
Enterprise-grade access to Claude models through Amazon Bedrock, combining Claude's reasoning capabilities with AWS security, compliance, VPC isolation, and native service integration for regulated industries.
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$0.25/1M tokensTogether AI
🔴DeveloperAI Models
Inference platform with code model endpoints and fine-tuning.
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Anthropic Claude on AWS Bedrock - Pros & Cons
Pros
- ✓Data never leaves your AWS VPC and is never used for model training—critical for regulated industries
- ✓Compliance-ready with SOC 2, HIPAA eligibility, and GDPR through AWS certifications, plus comprehensive CloudTrail audit logging
- ✓Intelligent Prompt Routing automatically optimizes costs by matching model capability to prompt complexity
- ✓Native AWS service integration (Lambda, S3, DynamoDB, Step Functions) eliminates custom infrastructure for AI workflows
- ✓Claude Sonnet 4.5 offers up to 1M token context windows on Bedrock—among the largest available for enterprise deployment
- ✓Consolidated billing through existing AWS accounts simplifies procurement and budget management
Cons
- ✗Per-token costs on Bedrock can be slightly higher than direct Anthropic API pricing for equivalent models
- ✗New Claude model versions may be available on the direct Anthropic API days or weeks before they appear on Bedrock
- ✗Requires AWS expertise for optimal VPC configuration, IAM policies, and cost management—not plug-and-play
- ✗AWS ecosystem lock-in makes it harder to migrate to Google Cloud or Azure if organizational cloud strategy changes
Together AI - Pros & Cons
Pros
- ✓Wide selection of open-source models available via API
- ✓Competitive pricing for inference and fine-tuning
- ✓Fine-tuning support for customizing open-source models
- ✓Fast inference with optimized serving infrastructure
- ✓Simple API compatible with OpenAI SDK patterns
Cons
- ✗Model availability can change as new models are added/removed
- ✗Less mature platform features compared to major providers
- ✗Fine-tuning documentation could be more comprehensive
- ✗Support response times can vary
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