ClearMLThe Infrastructure Platform For AI Builders
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · MLOps Platforms · weekly run Nov 2
ClearML vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
ClearML is the stronger AI pick in MLOps Platforms: it has a visibility score of 20.6 versus 0.3 for Langfuse.
Choose ClearML if…
- You want the brand AI engines rank higher (20.6 vs 0.3)
- You want a lower entry price ($15 vs $29)
- Per seat pricing suits your budget better than usage-based
- open-source flexibility
Choose Langfuse if…
- AI answers describe it more positively (50% vs 43% positive)
- You need SOC 2 Type II or ISO 27001 or HIPAA-ready region or GDPR coverage
- Usage-based pricing suits your budget better than per seat
- Discounted cloud pricing for qualifying early-stage startups
AI visibility side by side
Latest weekly run · Nov 2
| Metric | ClearML | Langfuse |
|---|---|---|
| Visibility score | 20.6% | 0.3% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #8 | #51 |
| Share of voice | 4.5% | 0.2% |
| Mentions this run | 30 | 1 |
| Positive in AI answers | 43% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
ClearML 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
ClearML leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
ClearMLLangfuse
Head to head in AI answers
0 engine answers name both brands
0ClearML ranked higher
0Langfuse ranked higher
Features, pricing & fit
| Dimension | ClearML | Langfuse |
|---|---|---|
| Pricing model | Per seat | Usage-based |
| Entry price | Free; paid from $15 per seat / mo | Free; paid from $29 / mo |
| Free plan | Yes | Yes |
| Deployment | Hosted servers, self-hosted, or a managed service in a VPC, on-premises (including air-gapped) or hybrid. | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | — | 100+ |
| Compliance | — | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR |
| Support | Dedicated Slack channel (Scale), Standard SLA (Scale), White-glove support with custom SLA (Enterprise), Professional services (Enterprise) | Community support via GitHub, In-app support, Private Slack or MS Teams channel on Pro and Enterprise plans, Named lead support engineer on Enterprise plans |
| Founded | 2016 | — |
| Headquarters | Tel Aviv, Israel | — |
| Employees | 11–50 | — |
| Funding | Series B (reported for parent Allegro AI, unverified, led by New Enterprise Associates) · $16M raised | Seed · $4M raised |
| Best for | Individuals, researchers and small teams on the free plan, growing AI teams on Pro, and enterprises running GPU clusters for multiple large projects. | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
ClearML
Community$0month
Pro$15user/month + usage
ScaleCustomcustom quote
EnterpriseCustomcustom quote
Pros and cons
Themes from the AI answers that mention each brand
ClearML
- open-source flexibility
- transparent, clear pricing with a free self-hosted tier
- end-to-end MLOps coverage in one platform
- GPU orchestration and pipeline automation
- affordable choice for cost-conscious teams
Langfuse
- Discounted cloud pricing for qualifying early-stage startups
- Well suited to evaluating and debugging LLM or agent behavior
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “ClearML vs Langfuse”, https://slateindex.ai/compare/clearml-vs-langfuse, data of Nov 2, 2026. Licence: CC BY 4.0.