Helicone vs LLM Gateway: Which is Better in 2026?
A comprehensive comparison of Helicone and LLM Gateway covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Helicone if:
- →You need request logging and replay or cost and latency tracking
Choose LLM Gateway if:
- →You want more affordable paid plans (from $0.01/mo)
- →You need a broader feature set (6 features vs 5)
- →You need one openai-compatible endpoint for 200+ models across 40+ providers or real-time cost tracking and spend controls across every provider
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Helicone vs LLM Gateway: At a Glance
Pricing Comparison: Helicone vs LLM Gateway
Understanding the pricing differences between Helicone and LLM Gateway is crucial for making the right choice. Here's how their plans compare side by side.
LLM Gateway Pricing
💡 Pricing takeaway: Both Helicone and LLM Gateway offer free tiers, making it easy to try before you buy. Visit each tool's website for the latest pricing details.
Feature-by-Feature Comparison
Here's how every feature from Helicone and LLM Gateway stacks up.
What Makes Each Tool Unique
🔵 Unique to Helicone
Features available in Helicone but not in LLM Gateway:
- ✓Request logging and replay
- ✓Cost and latency tracking
- ✓Prompt versioning
- ✓A/B testing for prompts
- ✓User session tracking
🟣 Unique to LLM Gateway
Features available in LLM Gateway but not in Helicone:
- ✓One OpenAI-compatible endpoint for 200+ models across 40+ providers
- ✓Real-time cost tracking and spend controls across every provider
- ✓Automatic provider routing plus custom routing rules
- ✓Prompt caching, guardrails and reliability failover
- ✓Bring-your-own-keys on the free tier
- ✓MCP server, AI SDK provider and a token cost calculator
Use Case Recommendations
Best for: Helicone
Open-source LLM observability platform. Helicone logs all your LLM requests, tracks costs and latency, runs prompt experiments, and detects issues — with a single line of code added to your existing OpenAI or Anthropic calls.
Ideal use cases:
- •Teams or individuals who need request logging and replay
- •Teams or individuals who need cost and latency tracking
- •Teams or individuals who need prompt versioning
- •Teams or individuals who need a/b testing for prompts
- •Anyone focused on LLM observability workflows
- •Anyone focused on prompt monitoring workflows
Best for: LLM Gateway
LLM Gateway is an open-source, OpenAI-compatible routing layer that puts one API in front of more than 200 models across 40-plus providers, including OpenAI, Anthropic and Google. The problem it solves is operational rather than intellectual: teams that use several providers end up juggling separate keys, separate dashboards, separate billing and separate SDK quirks, and switching provider for a given model means a code change. Pointing an existing OpenAI-compatible client at the gateway collapses that into one endpoint with real-time cost tracking across all of it. Around the core routing sit the features that make a gateway worth running in production — automatic provider selection and custom routing rules, budgets and spend controls, prompt caching, guardrails, reliability failover, and activity logs with exportable data. The commercial model is unusual and worth reading carefully: the free tier is free forever with all 200+ models available and bring-your-own-keys included, and the platform fee is 5% on credit usage rather than a monthly subscription, so cost scales with spend rather than seats. Metadata retention is free while full payload storage is billed at $0.01 per million tokens. Supporting surfaces include an MCP server, an AI SDK provider, a token cost calculator, model comparison and rankings pages, and the vendor states it is SOC 2 Type II certified.
Ideal use cases:
- •Teams or individuals who need one openai-compatible endpoint for 200+ models across 40+ providers
- •Teams or individuals who need real-time cost tracking and spend controls across every provider
- •Teams or individuals who need automatic provider routing plus custom routing rules
- •Teams or individuals who need prompt caching, guardrails and reliability failover
- •Anyone focused on llm-gateway workflows
- •Anyone focused on api workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Helicone and LLM Gateway aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
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Frequently Asked Questions
Is Helicone better than LLM Gateway?
It depends on your needs. Helicone offers 5 key features including Request logging and replay and Cost and latency tracking, while LLM Gateway provides 6 features including One OpenAI-compatible endpoint for 200+ models across 40+ providers and Real-time cost tracking and spend controls across every provider. Helicone uses a freemium model with a free tier, while LLM Gateway is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Helicone cheaper than LLM Gateway?
Helicone doesn't have standard paid plans, while LLM Gateway starts at $0.01/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Helicone and LLM Gateway together?
Yes, many users combine Helicone and LLM Gateway in their workflow. Helicone excels at request logging and replay, while LLM Gateway shines with one openai-compatible endpoint for 200+ models across 40+ providers. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Helicone and LLM Gateway?
While both are ai agent infrastructure tools, Helicone emphasizes request logging and replay, whereas LLM Gateway is known for one openai-compatible endpoint for 200+ models across 40+ providers. The best choice depends on your specific workflow and feature priorities.
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