Langfuse vs ModelOp
Langfuse vs ModelOp, compared side by side on 15 data points: what each one does, how big it is, what it has raised, the tech running each site, and what users report. We score both out of 100 on traction, team and visibility: Langfuse is on 55/100 and ModelOp on 46/100.
Where each one leads
Langfuse
- our overall score: 55/100 against 46/100
- agent readiness: 43/100 against 21/100
ModelOp
- funding raised: $16.0M against $2.5M
At a glance
| Measure | Langfuse | ModelOp |
|---|---|---|
| What it is | Open-source LLM engineering platform for debugging, monitoring, and improving production-grade LLM applications. | AI model operationalization platform for enterprise AI deployments. |
| Category | MLOps, Observability, Developer Tools, API Platform | MLOps, AI Governance, AI Observability, AI Testing |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Platform |
| Founded | 2022 | 2016 |
| Headquarters | Berlin, Germany | New York, United States |
| Status | Active | Inactive |
Size, funding and growth
| Measure | Langfuse | ModelOp |
|---|---|---|
| Employees | 21 | Not published |
| Headcount growthLast 12 months | +81.0% | Not published |
| Total funding | $2.5M | $16.0M |
| Latest round | Seed | Series A |
| LinkedIn followers | 13,143 | Not published |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Langfuse | ModelOp |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 55/100 | 46/100 |
| Traction | 45/100 | 36/100 |
| Team | 70/100 | Not published |
| Search visibility | 58/100 | 2/100 |
| Quality | 58/100 | 68/100 |
| Agent readinessHow well an AI agent can read and act on the site | D (43/100) | F (21/100) |
| Domain ratingLink authority, 0-100 | 79/100 | Not published |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Langfuse | ModelOp |
|---|---|---|
| Hosting | Vercel | Not detected |
| CDN | Vercel | Not detected |
| Frameworks | Next.js, Tailwind CSS | Not detected |
| Analytics | Google Analytics 4, Google Tag Manager, Segment | Not detected |
| Support stack | HubSpot | Not detected |
| Open source | Yes | No |
Product and pricing
| Measure | Langfuse | ModelOp |
|---|---|---|
| Key features | Full Context Tracing, Cost & Latency Monitoring, Output Quality Evaluation, Prompt Management & Experimentation, Testing & Benchmarking | Not published |
Langfuse vs ModelOp: common questions
Which is better, Langfuse or ModelOp?
On our 0-100 score Langfuse rates higher (55/100 against 46/100). The score weights traction, team, visibility and profile completeness, so it reflects company strength rather than which product suits you. We compare the two on 15 data points above: read the rows that match what you are buying for.
How do Langfuse and ModelOp compare on the numbers?
Langfuse leads on our overall score (55/100 against 46/100), agent readiness (43/100 against 21/100). ModelOp leads on funding raised ($16.0M against $2.5M).
Read the full Langfuse review and pricing or the ModelOp review and pricing. You can also browse other Langfuse alternatives we track.