PostHog vs Together AI Comparison
Detailed comparison of features, pricing, and capabilities
Last updated May 1, 2026
Overview
Compare key metrics and features at a glance
PostHog
https://posthog.com
PostHog is an open-source product analytics platform that helps companies understand user behavior. It provides features like event tracking, session recording, feature flags, and A/B testing, allowing teams to self-host their analytics infrastructure and maintain complete data control. The platform is designed to be a privacy-focused alternative to traditional product analytics tools.
Together AI
https://www.together.ai
Together AI is a cloud platform that enables developers and enterprises to run, fine-tune, and deploy open-source large language models (LLMs) at scale with high performance and cost efficiency. The platform provides access to a wide range of open-source models including LLaMA, Mistral, and others through a unified API, along with tools for custom model fine-tuning and inference optimization. Together AI also conducts AI research and has developed its own inference infrastructure designed to deliver fast and affordable generative AI capabilities.
Quick Comparison
| Detail | PostHog | Together AI |
|---|---|---|
| Category | Cookieless Analytics | AI Cloud Infrastructure |
| Starting Price | Free | Free |
| Plans Available | 3 | 6 |
| Features Tracked | 18 | 15 |
| Founded | 2020 | 2022 |
| Headquarters | San Francisco, USA | San Francisco, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| OpenAI-Compatible APIs | ||
| compliance | ||
| Consent Management Integration | ||
| GDPR Compliance Support | ||
| IP Data Capture Control | ||
| PostHog Cloud EU | Add-on | |
| Top-Level Opt Out | ||
| core | ||
| Autocapture Configuration | ||
| Autoscaling GPU Clusters | ||
| Cookieless Mode (Always) | ||
| Cookieless Mode (On Reject) | ||
| Dedicated Model Inference | ||
| Event Data Filtering | ||
| Feature Flags | ||
| Fine-Tuning Workflows | ||
| Full-Stack Observability | ||
| High-Performance Inference | ||
| Instant GPU Clusters | ||
| Kubernetes & Slurm | ||
| Local Storage Persistence | ||
| Memory-Only Persistence | ||
| NVIDIA GPU Support | ||
| Open Source | ||
| Pay-As-You-Go Pricing | ||
| Self-Healing Clusters | ||
| Serverless Inference | ||
| Session Replay | ||
| Surveys | ||
| User Identification Management | ||
| Zero Egress Fees | ||
| integration | ||
| Open-Source Model Hub | ||
| SDK Support | ||
| security | ||
| Privacy-Preserving User Hashing | ||
| Sensitive Data Masking | ||
Pricing
Compare pricing plans and value for money
PostHog
From $0/mo
Price Components
- base_fee: $0/month
- Product Analytics Events: $0/event (1000000 included)
- Product Analytics Events: $0.00005/event
- Product Analytics Events: $0.0000343/event
- Session Replay: $0/recording (5000 included)
Best For
Engineering-led product teams and startups needing a self-hostable, privacy-first all-in-one analytics suite with cookieless tracking, session replay, and experimentation tools.
Together AI
From $0/mo
Price Components
- GLM-5.1 Input Tokens: $1.4/1M tokens
- GLM-5.1 Output Tokens: $4.4/1M tokens
- Llama 3.3 70B: $0.88/1M tokens
- 1x H100 80GB: $3.99/hour
- 1x H200 141GB: $5.49/hour
Best For
Developers and enterprises needing fast, cost-efficient deployment and fine-tuning of open-source LLMs with flexible GPU clusters and serverless APIs.
Integrations
See which third-party services are supported
Supported Integrations
Coming Soon
Integration comparison data for PostHog, Together AI is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
PostHog
Engineering-led product teams and startups needing a self-hostable, privacy-first all-in-one analytics suite with cookieless tracking, session replay, and experimentation tools.
- All-in-one platform bundles cookieless analytics with session replay, feature flags, and A/B testing, replacing multiple tools like FullStory and LaunchDarkly.
- Generous free tier up to 1M events/month with usage-based pay-as-you-go pricing, scaling transparently without fixed costs.
- Open-source and self-hostable with EU cloud hosting, cookieless modes (Always/On Reject), and HIPAA-ready compliance for full data control.
- Privacy-preserving server-side hashing and autocapture enable high-fidelity tracking without cookie banners or PII storage.
- Self-hosting is complex, resource-heavy (4x RAM of simpler tools), and lacks feature parity with cloud version.
- Overwhelming interface with extensive features that most teams won't fully utilize.
- No native ad platform integrations like Google Ads, unlike GA4.
Together AI
Developers and enterprises needing fast, cost-efficient deployment and fine-tuning of open-source LLMs with flexible GPU clusters and serverless APIs.
- Serverless inference with OpenAI-compatible APIs and up to 4x faster performance via custom optimizations differentiates from generic cloud providers.
- Instant self-service GPU clusters up to 64 NVIDIA H100/H200 GPUs deploy in minutes with zero egress fees and autoscaling.
- Fine-tuning for 200+ open-source models like LLaMA and Mistral using proprietary data, with dedicated $2,872/month inference options.
- Full-stack observability via Grafana dashboards and pay-as-you-go token-based pricing for cost-efficient scaling.
- Young company founded in 2022 with 51-200 employees may lack the enterprise maturity and global scale of hyperscalers like AWS.
- Focus on open-source models limits access to proprietary LLMs from providers like OpenAI or Anthropic.
- High entry for dedicated options at $2,872/month suits enterprises but may deter small teams preferring fully serverless.
Company Info
Company details and background
PostHog
Together AI
Comparison FAQ
Common questions about comparing PostHog and Together AI
No FAQs available yet