Together AI vs Anthropic Claude on AWS Bedrock

Detailed side-by-side comparison to help you choose the right tool

Together AI

πŸ”΄Developer

AI Models

Cloud platform for running open-source AI models with serverless inference, fine-tuning, and dedicated GPU infrastructure optimized for production workloads.

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Starting Price

$0.02/1M tokens

Anthropic Claude on AWS Bedrock

πŸ”΄Developer

AI 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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Starting Price

$6.00/1M input tokens

Feature Comparison

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FeatureTogether AIAnthropic Claude on AWS Bedrock
CategoryAI ModelsAI Models
Pricing Plans13 tiers4 tiers
Starting Price$0.02/1M tokens$6.00/1M input tokens
Key Features
  • β€’ Serverless Inference API
  • β€’ Model Fine-Tuning
  • β€’ Dedicated Endpoints
  • β€’ VPC-isolated Claude inference with no data sharing
  • β€’ Intelligent Prompt Routing between Claude model variants
  • β€’ Bedrock Guardrails for content filtering and PII detection

Together AI - Pros & Cons

Pros

  • βœ“Dramatically lower costs (5-20x) compared to proprietary models while maintaining quality
  • βœ“Superior inference performance through custom optimizations and ATLAS acceleration
  • βœ“Comprehensive fine-tuning capabilities with automatic deployment and scaling
  • βœ“OpenAI-compatible API enables seamless migration from existing applications
  • βœ“Access to latest open-source models often before other hosting platforms
  • βœ“Full-stack platform covering inference, training, and GPU infrastructure

Cons

  • βœ—Open-source models may not match GPT-4/Claude on highly complex reasoning tasks
  • βœ—Occasional capacity constraints during peak usage on popular models
  • βœ—Fine-tuning requires ML expertise to achieve optimal results for specialized use cases
  • βœ—Limited proprietary model access (no GPT-4 or Claude integration)
  • βœ—Documentation and community support less extensive than major cloud providers

Anthropic Claude on AWS Bedrock - Pros & Cons

Pros

  • βœ“Data never leaves your AWS VPC and is never used for model trainingβ€”critical for regulated industries
  • βœ“Compliance-ready with SOC 2, HIPAA eligibility, and GDPR through AWS certifications, plus comprehensive CloudTrail audit logging
  • βœ“Intelligent Prompt Routing automatically optimizes costs by matching model capability to prompt complexity
  • βœ“Native AWS service integration (Lambda, S3, DynamoDB, Step Functions) eliminates custom infrastructure for AI workflows
  • βœ“Claude Sonnet 4.5 offers up to 1M token context windows on Bedrockβ€”among the largest available for enterprise deployment
  • βœ“Consolidated billing through existing AWS accounts simplifies procurement and budget management

Cons

  • βœ—Per-token costs on Bedrock can be slightly higher than direct Anthropic API pricing for equivalent models
  • βœ—New Claude model versions may be available on the direct Anthropic API days or weeks before they appear on Bedrock
  • βœ—Requires AWS expertise for optimal VPC configuration, IAM policies, and cost managementβ€”not plug-and-play
  • βœ—AWS ecosystem lock-in makes it harder to migrate to Google Cloud or Azure if organizational cloud strategy changes

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πŸ”’ Security & Compliance Comparison

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Security FeatureTogether AIAnthropic Claude on AWS Bedrock
SOC2βœ… Yesβ€”
GDPRβœ… Yesβ€”
HIPAAβ€”β€”
SSOβ€”β€”
Self-Hosted❌ Noβ€”
On-Prem❌ Noβ€”
RBACβ€”β€”
Audit Logβ€”β€”
Open Source❌ Noβ€”
API Key Authβœ… Yesβ€”
Encryption at Restβœ… Yesβ€”
Encryption in Transitβœ… Yesβ€”
Data ResidencyUSβ€”
Data Retentionconfigurableβ€”
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