Skip to main content
Tgtoolglade.
Side-by-side
Browse all comparisons →

Helicone vs Together AI

HeliconeTogether AI

Bottom line: Helicone for teams wanting simple, cheap LLM logging; Together AI for cost-conscious teams on open models.

HeliconeHelicone

Open-source LLM observability and AI gateway in one line of code.

Visit
Together AITogether AI

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

Visit
Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
llm-observabilityai-gatewayopen-sourcemonitoringcaching
inferencefine-tuninggpu-cloudopen-sourcellm-api
Best for
  • Teams wanting simple, cheap LLM logging
  • Developers self-hosting an open-source gateway
  • Cost and usage monitoring across providers
  • Cost-conscious teams on open models
  • ML teams that fine-tune
  • Startups scaling inference volume
Pros
  • Extremely easy integration via a one-line base-URL swap
  • Open source under Apache 2.0 and free to self-host
  • Tiny Docker image that runs almost anywhere
  • Gateway features like caching, failover, and rate limiting cut cost and improve reliability
  • Generous free tier of 10,000 requests per month
  • 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
  • Product is in maintenance mode after the Mintlify acquisition, with no roadmap
  • Long-term hosted-service viability is uncertain and migration may be needed
  • Usage-based overages mean the Pro price is a floor, not a cap
  • Short retention on lower tiers (7 days free, 30 days Pro)
  • Large price jump from Pro to Team for compliance features
  • 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.