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DeepInfra vs Together AI

DeepInfraTogether AI

Bottom line: DeepInfra for cost-sensitive developers; Together AI for cost-conscious teams on open models.

DeepInfraDeepInfra

Cheapest serverless inference for open-source LLMs, pay per token

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Together AITogether AI

Inference, fine-tuning, and GPU clusters for open models.

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Votes00
PricingPaidFreemium
CategoryAi InfrastructureAi Infrastructure
Tags
serverless-inferencellm-apiopen-source-modelsgpu-rentalpay-per-token
inferencefine-tuninggpu-cloudopen-sourcellm-api
Best for
  • Cost-sensitive developers
  • Startups scaling inference
  • Batch workloads
  • Cost-conscious teams on open models
  • ML teams that fine-tune
  • Startups scaling inference volume
Pros
  • Among the lowest per-token prices
  • Pay only for tokens, no idle charges
  • OpenAI-compatible API for easy migration
  • Discounted batch inference
  • Latency tiers to trade cost vs speed
  • Large catalog of open and open-weight models
  • Competitive per-token pricing
  • Fine-tuning with weight ownership
  • Dedicated GPU clusters for scale
  • OpenAI-compatible API
Cons
  • Focused on open-source, not proprietary models
  • No free plan
  • Latency and reliability vary by tier
  • Fewer enterprise features than large clouds
  • No self-hosting
  • Broad pricing surface across several product lines
  • You own quality and safety evaluation of open models
  • Dedicated clusters require commitment and planning
  • Less turnkey than closed frontier APIs
  • Model catalog and prices change over time

Comparison generated from each tool's listing. Add or remove tools above to change it.