vs LangSmithZespan vs LangSmith — agent-first vs chain-first observability.Capabilities, pricing, and the workloads each tool is actually built for.See the comparison →vs LangfuseZespan vs Langfuse — cloud-native vs open-source observability.Capabilities, pricing, and the workloads each tool is actually built for.See the comparison →vs HeliconeZespan vs Helicone — full observability vs a proxy wrapper.Capabilities, pricing, and the workloads each tool is actually built for.See the comparison →vs ArizeZespan vs Arize — purpose-built for LLMs vs adapted from ML.Capabilities, pricing, and the workloads each tool is actually built for.See the comparison →vs BrainTrustZespan vs BrainTrust — full observability vs eval-first tooling.Capabilities, pricing, and the workloads each tool is actually built for.See the comparison →vs GalileoZespan vs Galileo — closing the loop vs scoring the output.Capabilities, pricing, and the workloads each tool is actually built for.See the comparison →vs LakeraZespan vs Lakera — business-logic guardrails vs security-only guardrails.Capabilities, pricing, and the workloads each tool is actually built for.See the comparison →
Feature by feature.
Cost tracking and flame graphs are table stakes; every tool here has them. These are the rows worth reading.
| Zespan | LangSmith | Langfuse | Maxim AI | Helicone | |
|---|---|---|---|---|---|
| Setup time | 2 lines, a few minutes | Minutes | Minutes | Minutes | Proxy swap |
| Agent auto-discovery | Partial | Partial | Partial | · | |
| Multi-agent delegation as a first-class span | Limited | Limited | Limited | · | |
| Verdict-clustered root cause | · | · | · | · | |
| Auto root cause analysis | · | · | · | · | |
| AI anomaly detection | · | · | · | · | |
| AI cost optimizer | · | · | · | Partial | |
| Natural language query (in-product) | · | · | · | · | |
| Trace → policy in one action | · | · | · | · | |
| Inline guardrails on the request path | · | · | · | Partial | |
| Regression tests from real failures | Manual | Manual | · | ||
| Closed-loop fix proposal, gated on approval | · | · | · | · | |
| Evaluation templates | 12 built-in | 30+ built-in | Custom only | Built-in suite | · |
| MCP server | |||||
| Self-hosting | Scale plan | Enterprise | MIT-licensed | Enterprise | |
| Charges per seat | · | $39/seat | · | per user | · |
| Free tier | 50K traces/mo | 5K traces/mo | 50K units/mo | 10K logs/mo | 10K/mo |
| Starting paid price | $29/mo flat | $39/seat/mo | $29/mo | $29/user/mo | $79/mo |
Compared against each vendor's public pricing and documentation in August 2026. LangSmith and Maxim AI bill per seat, so their cost scales with team size; Langfuse and Zespan do not. Langfuse was acquired by ClickHouse in January 2026 and remains MIT-licensed for self-hosting. Competitor capabilities and pricing change; if something here is out of date, tell us and we'll fix it: letstalk@zespan.com.