Helicone vs Spanlens: Which is Better in 2026?
A comprehensive comparison of Helicone and Spanlens 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 Spanlens if:
- →You want more affordable paid plans (from $29/mo)
- →You need a broader feature set (6 features vs 5)
- →You need one-line instrumentation via a cli that rewrites your call sites or request logging with cost, latency and token counts for openai, anthropic and gemini
ChatGPT already recommends Helicone or Spanlens. Does it recommend yours?
If you're building an AI tool, run a free AI-visibility scan on your own product — we ask ChatGPT across 5 prompt angles and score how often you get named. ~30 seconds, no signup, no card.
Helicone vs Spanlens: At a Glance
Pricing Comparison: Helicone vs Spanlens
Understanding the pricing differences between Helicone and Spanlens is crucial for making the right choice. Here's how their plans compare side by side.
Spanlens Pricing
💡 Pricing takeaway: Both Helicone and Spanlens 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 Spanlens stacks up.
What Makes Each Tool Unique
🔵 Unique to Helicone
Features available in Helicone but not in Spanlens:
- ✓Request logging and replay
- ✓Cost and latency tracking
- ✓Prompt versioning
- ✓A/B testing for prompts
- ✓User session tracking
🟣 Unique to Spanlens
Features available in Spanlens but not in Helicone:
- ✓One-line instrumentation via a CLI that rewrites your call sites
- ✓Request logging with cost, latency and token counts for OpenAI, Anthropic and Gemini
- ✓Agent workflow tracing in a Gantt view
- ✓PII and prompt-injection detection on request content
- ✓Three-sigma anomaly detection and cheaper-model recommendations with dollar savings
- ✓Fully MIT self-host with no feature gating, plus Ollama and LangGraph tracing
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: Spanlens
Spanlens is an MIT-licensed LLM observability platform whose main design goal is that instrumenting an application should cost one line rather than an afternoon. A CLI initialiser rewrites the call sites for you, after which every OpenAI, Anthropic and Gemini request is logged with its cost, latency and token counts, and multi-step agent workflows are traced into a Gantt view that shows where the time and money actually went. Beyond straight logging it runs three checks that most cost dashboards do not: anomaly detection on a three-sigma basis, PII and prompt-injection detection on request content, and a model recommendation pass that proposes cheaper models with a dollar-figure saving attached rather than a vague suggestion. Recent SDK releases added Ollama support for local models and LangGraph tracing, so self-hosted and graph-structured agent stacks are covered alongside the hosted APIs. The licensing position is the sharpest part of the pitch: the vendor states the project is fully MIT with no `ee/` folder, meaning there is no enterprise-only directory carved out of the open-source repository — self-host with Docker Compose and every feature listed on the paid tiers is available at zero cost. The hosted tiers exist to sell managed retention, seats and alerting rather than to gate functionality, and the site publishes direct comparisons against Langfuse and Helicone.
Ideal use cases:
- •Teams or individuals who need one-line instrumentation via a cli that rewrites your call sites
- •Teams or individuals who need request logging with cost, latency and token counts for openai, anthropic and gemini
- •Teams or individuals who need agent workflow tracing in a gantt view
- •Teams or individuals who need pii and prompt-injection detection on request content
- •Anyone focused on llm-observability workflows
- •Anyone focused on tracing workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Helicone and Spanlens 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?
This page ranks for "Helicone vs Spanlens" — buyers comparing the two land here, and ChatGPT and Perplexity cite it. Claim your listing for $19 one-time — no subscription, nothing to cancel — and get a Featured badge, top placement in your category, and a permanent dofollow backlink. Prefer it ongoing? Monthly is one click away on the next page.
Frequently Asked Questions
Is Helicone better than Spanlens?
It depends on your needs. Helicone offers 5 key features including Request logging and replay and Cost and latency tracking, while Spanlens provides 6 features including One-line instrumentation via a CLI that rewrites your call sites and Request logging with cost, latency and token counts for OpenAI, Anthropic and Gemini. Helicone uses a freemium model with a free tier, while Spanlens is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Helicone cheaper than Spanlens?
Helicone doesn't have standard paid plans, while Spanlens starts at $29/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 Spanlens together?
Yes, many users combine Helicone and Spanlens in their workflow. Helicone excels at request logging and replay, while Spanlens shines with one-line instrumentation via a cli that rewrites your call sites. 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 Spanlens?
While both are ai agent infrastructure tools, Helicone emphasizes request logging and replay, whereas Spanlens is known for one-line instrumentation via a cli that rewrites your call sites. The best choice depends on your specific workflow and feature priorities.
Learn More
📬 Get the best new AI tools delivered weekly
One concise email with fresh launches, trending picks, and featured standouts.