Tools
Helicone vs Promptfoo
Helicone or Promptfoo? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In short
- Both: Choice of models, Self-hosted, API, Traces and evaluates
- Only Helicone states: Official SDKs
- Only Promptfoo states: Command line
Helicone
Helicone routes, monitors, debugs, and analyzes AI applications through an open-source gateway and observability platform.
Plans
Hobby
Free
- 10,000 free requests
- 1 GB storage
- 1 seat, 1 organization
Pro
- $79 per month
- Everything in Hobby
- Unlimited seats
- Alerts & reports
- HQL (Query Language)
Team
- $799 per month
- Everything in Pro
- 5 organizations
- SOC-2 & HIPAA compliance
- Dedicated Slack channel
Enterprise
Price on request
- Everything in Team
- Custom MSA
- SAML SSO
- On-prem deployment
- Bulk cloud discounts
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Choice of models — “Request Routing : Route by model, cost, or custom rules” source
- Self-hosted — “Now you can deploy our powerful observability platform directly within your own infrastructure with a single Docker command.” source
- API — “With this setup, any calls to the OpenAI Responses API will be automatically logged and monitored by Helicone.” source
- Official SDKs — “We’re thrilled to announce that we now have a Go SDK for Helicone’s Helpers Package .” source
- Traces and evaluates — “Built-in Observability : Full integration with Helicone’s analytics” source
Latest updates
- Claude Sonnet 4 and Sonnet 4.5 now support 1M context window
Sonnet 4 and Sonnet 4.5 models on the AI Gateway now support a 1M token context window by default across Anthropic API, AWS Bedrock, and Google Vertex AI.
- Control Reasoning Effort in Playground and better feedback on thinking models
Added the reasoning effort parameter, a minimal option, existing reasoning levels, and visual reasoning display when available.
- OpenAI GPT-5 Models Pricing and Playground Support
Added pricing for GPT-5, GPT-5-Mini, GPT-5-Nano, and GPT-5-Chat-Latest models across multiple providers.
Promptfoo
Promptfoo evaluates and red-teams LLM apps, prompts, models, agents, and RAG systems through a CLI, library, and web interface.
Plans
Community
Free Forever
- All LLM evaluation features
- All model providers and integrations
- Red teaming (10k probes/month)
- Custom integration with your own app
- Run locally or self-host on your own infrastructure
- Vulnerability scanning
- Community support
Enterprise
Custom
- Custom red teaming limits
- Team sharing & collaboration
- Continuous monitoring
- Centralized security/compliance dashboard
- SSO and granular permission profiles
- Promptfoo API access
- Managed cloud deployment
- Priority support & SLA guarantees
On-Premise
Custom
- All Enterprise features
- Deployment on your own infrastructure
- Complete data isolation
- Dedicated runner
- Assigned deployment engineer
Prices checked 2026-09-24 on the maker’s page.
Capabilities
- Command line — “promptfoo is an open-source CLI and library for evaluating and red-teaming LLM apps.” source
- Choice of models — “Use OpenAI, Anthropic, Azure, Google, HuggingFace, open-source models like Llama, or integrate custom API providers for any LLM API” source
- Self-hosted — “Run locally or self-host on your own infrastructure” source
- API — “Promptfoo API access” source
- Traces and evaluates — “Test and evaluate your prompts, models, and RAG pipelines” source
Security
- SOC 2 Type II — “Promptfoo SOC2 Type II Report” source
- SOC 2 — “Promptfoo SOC2 Type II Report” source
- ISO 27001 — “Promptfoo ISO 27001 Certificate” source
Latest updates
- Open-Sourcing ModelAudit: Security Scanner for ML Model Files
ModelAudit was released as an MIT-licensed open-source static scanner for ML model files.
- Building a Security Scanner for LLM Apps
Promptfoo is adding code scanning for LLM-related vulnerabilities, first as a GitHub Action that reviews pull requests.
- GPT-5.2 Initial Trust and Safety Assessment (GPT-5.2)
Promptfoo opened a PR for GPT-5.2 support.