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Anyscale Pricing Breakdown: Cost Per Token & Model Comparison

Deploybase · August 25, 2025 · LLM Pricing

Contents

Anyscale: Ray-based inference platform

Anyscale Pricing is the focus of this guide. Anyscale provides serverless inference on Ray. Ray distributed computing framework. Scales inference horizontally across many machines.

Models offered:

  • Llama 3.1 (7B, 70B, 405B)
  • Mistral 8x22B, 8x7B
  • Neural Chat
  • Custom models via Ray Serve

Positioning: open-source models, competitive pricing, Ray framework integration. Target: teams already using Ray. Developers wanting open-source inference.

Strength: scalability. Ray orchestrates inference across clusters. Handles traffic spikes without manual scaling.

Pricing breakdown: Anyscale API

Llama 3.1 70B:

  • Input: $0.30/MTok
  • Output: $1.00/MTok

Llama 3.1 7B:

  • Input: $0.15/MTok
  • Output: $0.50/MTok

Llama 3.1 405B:

  • Input: $0.90/MTok
  • Output: $3.00/MTok

Mistral 8x7B:

  • Input: $0.20/MTok
  • Output: $0.80/MTok

Pricing undercuts major cloud providers. Input tokens consistently cheap. Output tokens cost more as generation is slower.

Example calculation for chatbot:

  • Average request: 500 input tokens, 300 output tokens
  • Cost: (500 × $0.30 / 1M) + (300 × $1.00 / 1M) = $0.00045
  • Per 1,000 requests: $0.45

Token costs compared

ProviderLlama 70B InputLlama 70B OutputEffective $/1K tokens*
Anyscale$0.30$1.00$0.00140
SambaNova$0.50$2.00$0.00175
Groq$0.40$1.20$0.00152
OpenAI GPT-4o$2.50$10.00$0.00500
Anthropic Sonnet 4.6$3.00$15.00$0.00900

*Assumes 60% input, 40% output ratio.

Anyscale cheapest among inference platforms for Llama 70B. SambaNova 25% more expensive. Groq 10% more expensive.

Commercial APIs (OpenAI, Anthropic) 3-6x more expensive. But they offer stronger reasoning and closed-source models.

Anyscale vs SambaNova vs Groq

Speed: Groq fastest, SambaNova second, Anyscale slower.

Groq claims 40 tokens/second. SambaNova claims 20 tokens/second. Anyscale uses Ray orchestration, introduces queuing latency. Expect 10-15 tokens/second on Llama 70B.

Availability: Anyscale has model variety. SambaNova and Groq offer fewer options.

Cost: Anyscale cheapest. SambaNova ~25% more. Groq ~10% more.

Ray integration: Anyscale native. Deploy Ray applications, add inference smoothly. SambaNova and Groq are API-only.

For Ray teams, Anyscale wins. For max speed, pick Groq. For cheap general inference, pick Anyscale.

When Anyscale wins

Use Anyscale when:

  • Ray framework already in use
  • Building scalable inference systems
  • Cost optimization critical
  • Llama 3.1 or Mistral models sufficient
  • Traffic varies (Ray scales dynamically)

Avoid Anyscale when:

  • Latency under 100ms required (use Groq)
  • Vision or multimodal needed
  • Stronger reasoning required (use Anthropic)
  • Batch inference at fixed capacity (simpler solutions exist)

FAQ

Q: What does Ray bring to inference? Ray handles scaling. Automatic load balancing. Fault tolerance. If a server dies, Ray redirects traffic. Useful at scale. Overkill for small projects.

Q: Can I self-host Anyscale's code? Anyscale offers hosted-only service currently. Ray itself is open-source. Deploy Ray clusters yourself for inference, but without Anyscale's managed service.

Q: How does Anyscale handle spiky traffic? Ray scales up by spinning new worker nodes. Takes 30-60 seconds to provision. Fine for 10x traffic spikes. Not fine for traffic that quadruples every second. Groq or SambaNova handle sudden spikes better due to fixed capacity assumptions.

Q: Is Anyscale more reliable than SambaNova? Different reliability models. Anyscale: distributed system resilience. SambaNova: single-point infrastructure. Anyscale handles node failures. SambaNova has simpler failure modes. Both claim 99.9% uptime.

Q: Can I fine-tune on Anyscale? Fine-tuning not available through Anyscale API. Inference-only platform. For fine-tuning, use RunPod or Lambda.

Q: Does Anyscale offer on-premise deployment? Not directly. Ray is open-source, can be deployed on-prem. Anyscale AI service cloud-only.

Sources