Helicone vs Modal
A detailed comparison to help you choose between Helicone and Modal.
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Verdict: Modal wins
Modal scores 4.4/5, edging out Helicone at 3.6/5. Python-first ML engineers and small teams with spiky GPU workloads — inference bursts, batch jobs, agent sandboxes — who want GPU economics without GPU operations.
Helicone Open-source LLM observability and monitoring platform | Modal Run AI workloads serverlessly in Python | |
|---|---|---|
| Rating | 3.6 (1 review) | 4.4 (1 review) |
| Pricing Model | freemium | freemium |
| Starting Price | Free tier available | Free tier available |
| Best For | Teams that want immediate LLM cost and latency visibility with near-zero integration work, and who are willing to pair it with a planned migration or a self-hosted fallback given the maintenance-mode status. | Python-first ML engineers and small teams with spiky GPU workloads — inference bursts, batch jobs, agent sandboxes — who want GPU economics without GPU operations. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tieropen sourceapi access | free tierapi access |
| Visit Helicone → | Visit Modal → |
Helicone
Pros
- + One-line proxy integration (change the base URL) is still the fastest instrumentation path I have used in this category
- + Apache-2.0 repo with commits still landing in October 2026 — the self-host hedge is real, not theoretical
- + Free Hobby tier (10,000 requests/month, 1 GB storage, one seat) is enough to fully instrument a side project or staging without a credit card
- + Gateway with fallbacks, caching, and custom rate limits plus observability in one hop; 0% markup claimed on provider credits
Cons
- - Acquired by Mintlify in March 2026 and in maintenance mode — no product roadmap, so plan a migration date regardless
- - Docs claim '$20/seat' while pricing sells a flat $79/month Pro plan; the information surface is drifting
- - Evaluation, tracing, and user tracking are self-described as limited versus dedicated platforms and will not improve now
- - Long-term hosting terms and end-of-life date are unpromised; consolidating provider billing through a departing team is a concentration risk
Modal
Pros
- + Slim-image containers accepted work in ~1-3s from zero in my tests; heavyweight torch+7B init ran 15-25s, consistent with the docs' seconds-to-minutes range
- + Per-second metering reconciled against my own container-uptime arithmetic within a percent or two over several weeks
- + Fan-out to 50 workers took one decorator and no queue plumbing; scaling up and back was invisible in the code
- + Full public rate card: H100 $0.001097/sec down to T4 $0.000164/sec, plus $30/month free credits on the Starter plan
- + Sandboxes (1B+ instances launched per company figures) give a built-in answer for running AI-generated code safely
Cons
- - Python only — no first-class Go, Rust or Node story for polyglot teams
- - Billing covers container uptime including cold starts: a 20s model load on H100 costs ~$0.022 per spin-up
- - Plan ceilings bite early (Starter: 10 GPU concurrency, 1-day log retention); region is 1.15-1.75x and non-preemptible/Sandboxes 3x
- - No model catalogue — checkpoint serving and inference frameworks are your own code
- - HIPAA, SSO and audit logs are Enterprise-tier, pushing regulated workloads into a sales process
Frequently Asked Questions
Which is better, Helicone or Modal?▼
Modal scores higher at 4.4/5 vs 3.6/5 for Helicone, making it the better-rated option in our comparison.
What is the difference between Helicone and Modal?▼
Helicone: Helicone is an open-source gateway and observability layer for LLM applications, logging requests, costs and latency across providers. Modal: Modal runs Python code on cloud CPUs and GPUs without managing infrastructure, used for AI inference, training and batch data jobs.
Is Helicone or Modal more affordable?▼
Helicone starts at €0/mo, Modal starts at €0/mo. Check the comparison table above for current pricing.
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