Free LLM Observability Tools — 2026 Comparison
Free LLM Observability Tools — 2026 Comparison
📖 The 6 Best Free LLM Observability Tools Compared
If you build with LLMs in 2026, you need observability. Without it, you are flying blind — unable to trace why a response degraded, measure whether a prompt change improved quality, or catch regressions before they hit users.
The good news: the free tiers of the leading LLM observability platforms have never been more generous. Langfuse gives you 50k observations/month for nothing. Portkey hands you 1 million spans. Braintrust's Starter plan is genuinely free for individuals. And the open-source options (Langfuse, Comet Opik, LangWatch) let you self-host at zero platform cost.
The bad news: picking the right one is overwhelming. Each platform takes a different philosophical approach — some prioritize tracing depth, others eval workflow, others the AI gateway angle.
We tested all six on the same criteria: Ease of Setup, Features, Performance, Documentation, and Community Support. Here is the full breakdown.
TL;DR: Langfuse (8.4/10) is the best overall — MIT license, billion-scale ClickHouse architecture, and the most complete feature set. Portkey (7.8/10) wins on free tier volume and doubles as an AI gateway. Braintrust (7.4/10) has the best CI/CD eval pipeline. Your choice depends on whether you need self-hosting, eval rigor, or a combined gateway + observability stack.
📊 Quick Comparison Table
| Feature | Langfuse | Langtrace | LangWatch | Comet Opik | Braintrust | Portkey |
|---|---|---|---|---|---|---|
| Overall Score | 8.4/10 | 7.2/10 | 7.6/10 | 7.5/10 | 7.4/10 | 7.8/10 |
| Ease | 8/10 | 8/10 | 7/10 | 7/10 | 8/10 | 9/10 |
| Features | 9/10 | 6/10 | 8/10 | 8/10 | 7/10 | 8/10 |
| Performance | 8/10 | 7/10 | 7/10 | 7/10 | 7/10 | 7/10 |
| Docs | 9/10 | 7/10 | 8/10 | 7/10 | 8/10 | 8/10 |
| Support | 8/10 | 7/10 | 8/10 | 8/10 | 7/10 | 7/10 |
| Open Source | ✅ MIT | ❌ | ✅ Free | ✅ Apache 2.0 | ⚠️ Core only | ❌ |
| Self-Hostable | ✅ Full | ❌ | ✅ Yes | ✅ Yes | ⚠️ Enterprise | ❌ |
| Free Tier | 50k obs/mo | Limited spans | Developer plan | 5k traces/mo | 1 GB data | 1M spans |
| Paid Starts | $29/mo | Usage-based | €59/mo | $39/seat/mo | $249/mo | $249/mo |
| Tracing | ✅ Native OTel | ✅ OTel | ✅ OTel | ✅ OTel | ✅ SDK | ✅ Gateway |
| Prompt Mgmt | ✅ Yes | ❌ No | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes |
| CI/CD Eval | ⚠️ Via SDK | ❌ No | ⚠️ Partial | ⚠️ Partial | ✅ Native best | ⚠️ Partial |
Sources: Langfuse pricing [1], Langtrace pricing [2], LangWatch pricing [3], Comet Opik pricing [4], Braintrust pricing [5], Portkey pricing [6]. All data verified June 2026.
🏆 Tool-by-Tool Breakdown
1. Langfuse — 8.4/10 (Best Overall)
Dimensions: Ease 8 | Features 9 | Performance 8 | Docs 9 | Support 8
Langfuse is the open-source LLM engineering platform that keeps winning. It combines tracing, evaluation, prompt management, experiments, and a playground into one MIT-licensed platform. Built on ClickHouse for analytical speed and Redis for async ingestion, it handles billions of observations per month for 19 Fortune 50 companies [1].
The free Hobby tier includes 50k observations/month with unlimited team members — no credit card needed. The Core plan at $29/mo bumps to 100k observations with 90-day retention. Self-hosting is completely free and fully featured, with no enterprise edition gating.
Best for: Teams that want full data ownership, self-hosting, and the most complete feature set. The 80+ framework integrations (LangChain, CrewAI, Pydantic AI, Vercel AI SDK, and more) make it the most broadly compatible option [7].
2. Portkey — 7.8/10 (Best Free Tier Volume)
Dimensions: Ease 9 | Features 8 | Performance 7 | Docs 8 | Support 7
Portkey takes a unique approach — it is both an AI gateway and an observability platform. This means you get routing, fallbacks, load balancing, and retries alongside tracing and evaluation. The free tier offers 1 million spans per month plus 10k eval scores — the highest raw volume of any tool here [6].
Setup is dead simple: you point your LLM calls through Portkey's proxy and observability works automatically. Pro at $249/mo unlocks unlimited spans and scores. Portkey is cloud-only with no self-hosting option.
Best for: Teams that want observability + gateway features in one stack and need high-volume free usage. The 9/10 ease score reflects how quickly you can get production traces flowing.
<h3. LangWatch — 7.6/10 (Best for DSPy Optimization)
Dimensions: Ease 7 | Features 8 | Performance 7 | Docs 8 | Support 8
LangWatch differentiates itself with deep DSPy optimization integration — it can automatically optimize your DSPy programs based on evaluation results. It also offers guardrails (real-time content filtering) which most competitors lack [3].
The free Developer plan gives access to core features. Paid plans start at €59/month and include unlimited evaluations, DSPy optimization, and enterprise security. Self-hosting is available and free.
Best for: Teams using DSPy for prompt optimization who want guardrails alongside observability. The real-time content filtering is a genuine differentiator.
4. Comet Opik — 7.5/10 (Best Apache 2.0 Alternative)
Dimensions: Ease 7 | Features 8 | Performance 7 | Docs 7 | Support 8
Comet Opik is the Apache 2.0 open-source LLM evaluation and observability platform from the Comet ML team. It provides tracing, automated evaluations via LLM-as-a-judge, and deep integration with the Comet experiment tracking ecosystem [4].
The free cloud tier includes 5k traces/month. The full feature set is available in the open-source self-hosted version. Paid plans at $39/seat/month unlock higher limits and team features. Comet's existing user base makes this a natural choice for ML teams already in the Comet ecosystem.
Best for: ML teams already using Comet for experiment tracking who want a unified observability layer. The Apache 2.0 license is more permissive for some enterprise use cases than MIT.
5. Braintrust — 7.4/10 (Best CI/CD Eval Pipeline)
Dimensions: Ease 8 | Features 7 | Performance 7 | Docs 8 | Support 7
Braintrust is built around an eval-first philosophy: design a prompt, test systematically, ship to production, monitor, and convert production failures into permanent test cases with one click. The trace-to-test pipeline is the most mature implementation of this workflow in any platform [5].
The free Starter plan includes 1 GB of processed data and 10K scores with 14-day retention. Pro at $249/mo bumps to 5 GB, 50K scores, and 30-day retention. Self-hosting is enterprise-only.
Best for: Teams running agentic systems who need rigorous CI/CD eval gates. The ability to turn any production failure into a permanent regression test is a superpower.
6. Langtrace — 7.2/10 (Simplest Onboarding)
Dimensions: Ease 8 | Features 6 | Performance 7 | Docs 7 | Support 7
Langtrace focuses on simplicity — OpenTelemetry-native tracing with a clean UI and minimal configuration. It is the easiest platform to get started with if all you need is basic LLM call tracing and cost tracking [2].
The free tier includes a limited number of spans per month. Paid plans scale with usage. Feature depth lags significantly behind Langfuse and Portkey — there is no prompt management or experiment workflow.
Best for: Solo developers and small teams who want quick LLM tracing without configuration overhead. The simplicity is a feature, but you will outgrow it fast.
🥇 Winners by Category
Easiest to Set Up: Portkey (9/10)
Portkey's gateway proxy approach means you add one line of configuration and traces flow automatically. No SDK instrumentation per framework. Langfuse and Braintrust are close at 8/10 but require SDK setup per integration.
Most Features: Langfuse (9/10)
Nothing else comes close. Tracing, eval, prompt management, experiments, playground, human annotation — all in one platform with 80+ integrations. Portkey (8/10) and LangWatch (8/10) tie for second.
Best Performance: Langfuse (8/10)
ClickHouse + Redis + S3 architecture scales to 10+ billion observations/month. Sub-second trace queries at scale. All other platforms use standard Postgres or similar and top out at 7/10.
Best Documentation: Langfuse (9/10)
Extensive docs with cookbooks, video guides, API references, and an excellent agent SKILL.md. Braintrust (8/10) and Portkey (8/10) are close but less complete.
Best Free Tier: Portkey
1 million spans/month free is hard to beat. Langfuse's 50k observations is more restrictive but offers unlimited team members. For solo devs or small teams, Portkey's volume is unmatched.
Best for Self-Hosting: Langfuse
Full MIT license, no feature gating, Docker Compose and Kubernetes support, Terraform templates for AWS/GCP/Azure. Comet Opik is a close second with Apache 2.0 but a smaller community.
Best for CI/CD Eval: Braintrust
The trace-to-test pipeline with one-click regression gating is genuinely elegant. Langfuse offers eval via SDK but Braintrust's workflow is more refined and battle-tested.
💡 Which One Should You Choose?
| Your Priority | Pick This Tool |
|---|---|
| Best overall, self-hostable | Langfuse (8.4/10) |
| Highest free volume (1M spans) | Portkey (7.8/10) |
| CI/CD eval pipeline | Braintrust (7.4/10) |
| DSPy optimization + guardrails | LangWatch (7.6/10) |
| Apache 2.0 + Comet ecosystem | Comet Opik (7.5/10) |
| Simplest onboarding | Langtrace (7.2/10) |
| AI gateway + observability | Portkey (7.8/10) |
💰 Pricing at a Glance
| Tool | Free Tier | Paid Starts | Self-Host | License |
|---|---|---|---|---|
| Langfuse | 50k obs/mo, unlimited users | $29/mo | ✅ Full | MIT |
| Portkey | 1M spans, 10k scores | $249/mo | ❌ | Proprietary |
| LangWatch | Developer plan | €59/mo | ✅ Yes | Free self-host |
| Comet Opik | 5k traces/mo | $39/seat/mo | ✅ Yes | Apache 2.0 |
| Braintrust | 1 GB data, 10K scores | $249/mo | ⚠️ Enterprise | Core open |
| Langtrace | Limited spans/mo | Usage-based | ❌ | Proprietary |
Pricing sources: Langfuse [1], Langtrace [2], LangWatch [3], Comet Opik [4], Braintrust [5], Portkey [6]. All information verified June 2026.
🔍 Methodology
We evaluated each tool across five dimensions on a 1-10 scale:
- Ease: How quickly can a beginner set up tracing and see their first results? Minutes to first trace, SDK ergonomics, configuration overhead.
- Features: Breadth and depth of capabilities — tracing, eval, prompt management, playground, experiments, guardrails, CI/CD integration.
- Performance: Trace ingestion speed, query latency at scale, uptime, architecture (ClickHouse vs Postgres).
- Docs: Quality of documentation — getting started guides, cookbooks, API reference, code examples, video content.
- Support: Community responsiveness (GitHub, Discord, Slack), commercial support options, frequency of releases and updates.
Scores reflect free-tier capabilities as of June 2026. Paid tiers may unlock additional features that improve the score for paying users.
Note: ToolBrain is not affiliated with any of these tools. We are readers too — every link, score, and comparison is researched and fact-checked.
❓ Frequently Asked Questions
What is the best free LLM observability tool in 2026?
Langfuse is the best overall with a 50k observations/month free tier, full MIT open-source license, and the most complete feature set. See the comparison above for use-case-specific recommendations.
Which tool has the most generous free tier by volume?
Portkey offers 1 million spans per month free — significantly more than any other platform. Langfuse offers 50k observations with unlimited team members, which is better for team collaboration.
Are any of these tools fully open source?
Yes — Langfuse (MIT), LangWatch (free self-host), and Comet Opik (Apache 2.0) are fully open source. Braintrust's core is open source but self-hosting requires Enterprise. Langtrace and Portkey are cloud-only with proprietary licenses.
Which is best for production workloads?
Langfuse has the most production-proven infrastructure (10+ billion observations/month, 19 Fortune 50 customers). Portkey is also production-ready with enterprise features. Braintrust is production-strong for eval workflows specifically.
🔚 Final Verdict
Langfuse takes the crown at 8.4/10 as the best all-around free LLM observability platform in 2026. The MIT license, billion-scale ClickHouse architecture, and unified tracing-eval-prompt workflow make it the default choice for teams that want full data ownership and unlimited team members.
But there is no single winner for every use case:
- Portkey leads on free tier volume (1M spans) and doubles as an AI gateway
- Braintrust wins on CI/CD eval workflow maturity
- LangWatch is strongest for DSPy optimization with built-in guardrails
- Comet Opik is the best Apache 2.0 alternative for Comet ecosystem teams
- Langtrace offers the simplest onboarding for beginners
The good news: all six are free to start. Try two or three — the best way to choose is to instrument a small project and see which workflow clicks for your team.
References
- Langfuse Pricing — Free tier: 50k obs/mo, unlimited users. Self-hosted: fully MIT-licensed.
- Langtrace Pricing — Free tier with limited spans per month. Usage-based paid plans.
- LangWatch Pricing — Free Developer plan. Paid from €59/mo with unlimited evaluations.
- Comet Opik Pricing — Free tier: 5k traces/mo. Apache 2.0 open-source self-hosted option.
- Braintrust Pricing — Free Starter: 1 GB data, 10K scores, 14-day retention. Pro: $249/mo.
- Portkey Pricing — Free: 1M spans, 10k scores. Pro: $249/mo for unlimited spans.
- Langfuse Homepage — 23,000+ GitHub stars, 5,000+ Discord members, 19 Fortune 50 customers.
- Langfuse Documentation — OpenTelemetry-native instrumentation with 80+ framework integrations.
- Braintrust Docs — Plans and Limits — Starter: unlimited users, projects, and datasets.
- Comet Opik Product Page — Open-source LLM evaluation and observability, Apache 2.0.
📊 See all LLM tool comparisons →
📖 Related Reads
- NiteAgent — AI agent development, frameworks, and production patterns
- Hermes Tutorials — Hermes Agent setup, configuration, and advanced workflows
Cross-links automatically generated from None.
← Back to all posts