Cloudflare Workers AI vs Together AI

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

Cloudflare Workers AI

AI Model APIs

Cloudflare Workers AI runs 50+ open-source models (Llama 3.1/3.2, Mistral, Whisper, embeddings, vision) on serverless GPUs at the edge for $0.011 per 1,000 Neurons.

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Starting Price

Free
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Together AI

🔴Developer

AI Model Hosting & Inference

AI-native cloud for inference, fine-tuning, and dedicated GPU clusters, offering 200+ open-source and frontier-class models behind an OpenAI-compatible API plus reserved H100/H200/B200 capacity.

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Starting Price

$0.02/1M tokens
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Feature Comparison

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FeatureCloudflare Workers AITogether AI
CategoryAI Model APIsAI Model Hosting & Inference
Pricing Plans11 tiers142 tiers
Starting PriceFree$0.02/1M tokens
Key Features
  • • AI Model Inference
  • • Global Edge Deployment
  • • Serverless Scaling
  • • Serverless inference APIs for open and proprietary model workloads
  • • Batch Inference API for large asynchronous token processing jobs
  • • Fine-tuning platform for shaping open models with private or domain data

Cloudflare Workers AI - Pros & Cons

Pros

  • ✓Among the cheapest paths to production Llama inference at $0.011 per 1K Neurons with 10K free per day
  • ✓Co-locates with Workers, Pages, and Vectorize for single-digit-millisecond RAG round trips on the edge
  • ✓OpenAI-compatible endpoints mean existing OpenAI SDK code drops in with one URL change

Cons

  • ✗Catalog is open-source-only — no GPT-5 or Claude (use AI Gateway or OpenRouter for those)
  • ✗Throughput trails Groq on tokens-per-second for the largest Llama models
  • ✗Vision and image generation model coverage is narrower than Replicate

Together AI - Pros & Cons

Pros

  • ✓Breadth of open-weight model catalog (200+) with one OpenAI-compatible API
  • ✓One account spans serverless, dedicated endpoints, fine-tuning, and reserved GPU capacity
  • ✓Transparent per-token pricing — easy to model unit economics against closed providers
  • ✓InfiniBand-backed GPU Clusters are credible for real training, not just inference

Cons

  • ✗Frontier-class reasoning still lags closed models on the hardest benchmarks
  • ✗Fastest single-model latency is sometimes beaten by Groq or Cerebras
  • ✗Many model variants means model selection itself becomes a project
  • ✗Dedicated endpoint cost calculations require attention to GPU type and utilization

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🔒 Security & Compliance Comparison

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Security FeatureCloudflare Workers AITogether AI
SOC2✅ Yes✅ Yes
GDPR✅ Yes✅ Yes
HIPAA❌ No—
SSO✅ Yes—
Self-Hosted—❌ No
On-Prem❌ No❌ No
RBAC✅ Yes—
Audit Log✅ Yes—
Open Source❌ No❌ No
API Key Auth✅ Yes✅ Yes
Encryption at Rest✅ Yes✅ Yes
Encryption in Transit✅ Yes✅ Yes
Data ResidencyGLOBAL, EU, USUS
Data Retentionconfigurableconfigurable
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Review Cloudflare Workers AIReview Together AI