Portkey AI vs Together AI

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

Portkey AI

🔴Developer

Business Analytics

AI gateway and observability platform for managing multiple LLM providers with routing, fallbacks, and cost optimization.

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Starting Price

Free
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Together AI

🔴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
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Feature Comparison

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FeaturePortkey AITogether AI
CategoryBusiness AnalyticsAI Models
Pricing Plans8 tiers13 tiers
Starting PriceFree$0.02/1M tokens
Key Features
    • • Serverless Inference API
    • • Model Fine-Tuning
    • • Dedicated Endpoints

    Portkey AI - Pros & Cons

    Pros

    • ✓Eliminates vendor lock-in by providing unified access to all major LLM providers
    • ✓Intelligent routing and fallbacks significantly improve application reliability and cost efficiency
    • ✓Comprehensive observability provides insights impossible to achieve with direct provider APIs
    • ✓Advanced caching and optimization features reduce costs without sacrificing performance
    • ✓Enterprise security features enable secure multi-provider access for sensitive applications

    Cons

    • ✗Additional complexity compared to using single provider APIs directly
    • ✗Potential latency overhead for simple applications that don't need advanced routing
    • ✗Dependency on Portkey service introduces another potential point of failure

    Together AI - Pros & Cons

    Pros

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

    Cons

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

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    🔒 Security & Compliance Comparison

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    Security FeaturePortkey AITogether AI
    SOC2—✅ Yes
    GDPR—✅ Yes
    HIPAA——
    SSO——
    Self-Hosted—❌ No
    On-Prem—❌ No
    RBAC——
    Audit Log——
    Open Source—❌ No
    API Key Auth—✅ Yes
    Encryption at Rest—✅ Yes
    Encryption in Transit—✅ Yes
    Data Residency—US
    Data Retention—configurable
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    Ready to Choose?

    Read the full reviews to make an informed decision

    Review Portkey AIReview Together AI