Langfuse vs ModelOp
Langfuse vs ModelOp, compared side by side on 22 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 61/100.
Where each one leads
Langfuse
- domain rating: 79/100 against 61/100
- LinkedIn following: 13,143 against 6,843
ModelOp
- our overall score: 61/100 against 55/100
- agent readiness: 55/100 against 43/100
- headcount: 41 against 21
- 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. | ModelOp's Enterprise AI Command Center unifies every AI asset, automating delivery and maximizing ROI for ML, GenAI, and agentic AI in production. |
| Category | MLOps, Observability, Developer Tools, API Platform | MLOps, AI Governance, AI Observability, Enterprise Software |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Software |
| Founded | 2022 | 2018 |
| Headquarters | Berlin, Germany | Chicago, United States |
| Status | Active | Active |
Size, funding and growth
| Measure | Langfuse | ModelOp |
|---|---|---|
| Employees | 21 | 41 |
| Headcount growthLast 12 months | +81.0% | Not published |
| Total funding | $2.5M | $16.0M |
| Latest round | Seed | Series B |
| LinkedIn followers | 13,143 | 6,843 |
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 | 61/100 |
| Traction | 45/100 | 52/100 |
| Team | 70/100 | 70/100 |
| Search visibility | 58/100 | 42/100 |
| Quality | 58/100 | 68/100 |
| Agent readinessHow well an AI agent can read and act on the site | D (43/100) | D (55/100) |
| Domain ratingLink authority, 0-100 | 79/100 | 61/100 |
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 | Cloudflare |
| CMS | Not detected | Webflow |
| Frameworks | Next.js, Tailwind CSS | Not detected |
| Analytics | Google Analytics 4, Google Tag Manager, Segment | Google Tag Manager, Segment, Microsoft Clarity |
| Support stack | HubSpot | HubSpot |
| 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 ModelOp rates higher (61/100 against 55/100). 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 22 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 domain rating (79/100 against 61/100), LinkedIn following (13,143 against 6,843). ModelOp leads on our overall score (61/100 against 55/100), agent readiness (55/100 against 43/100), headcount (41 against 21), 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.