Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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ApX Machine Learning
✓ verifiedFreemium
Tools, model specs and courses for LLM engineers-VRAM calculator, benchmarks and model directory-with free and paid tiers.
355K visits/mo
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liteLLM
✓ verifiedFreemium
Open-source AI gateway giving dev teams unified access, fallbacks and spend tracking across 100+ LLMs.
703K visits/mo
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Maxim AI
✓ verifiedFreemium
End-to-end evaluation and observability platform for building, testing, and monitoring AI agents and LLM apps.
102K visits/mo
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Confident AI
✓ verifiedFreemium
LLM evaluation and observability platform from DeepEval's makers for testing, tracing, red-teaming and governing AI applications.
102K visits/mo
Pricing
Basic: $0/mo (free forever)
Pro: $19/mo
Pro+: $59/mo
Open Source: $0 (self-hosted, 100+ providers)
Free trial available
Developer: $0 (3 seats, 10k logs/mo)
Professional: $29/seat/mo (100k logs/mo)
Business: $49/seat/mo (500k logs/mo)
Free trial available
Free: $0 (limited)
Starter: $9.99/user/mo
Core features
- ✦VRAM/GPU-memory calculator for LLMs
- ✦LLM performance rankings and benchmarks
- ✦Model directory and comparison
- ✦AI/ML courses and learning roadmap
- ✦Calculator API and exportable cost reports
- ✦Engineering blog and guides
- ✦Unified access to 100+ LLMs in OpenAI format
- ✦Cost/spend tracking per key, user and team
- ✦Budgets and rate limiting
- ✦Automatic provider fallbacks and retries
- ✦Virtual keys and team management
- ✦Logging and observability integrations
- ✦Prompt IDE, versioning, and deployment
- ✦Agent simulation and evaluation
- ✦Production tracing and observability
- ✦Pre-built and custom evaluators
- ✦Human-in-the-loop evaluation
- ✦Bifrost LLM gateway
- ✦LLM evaluation with research-backed metrics
- ✦Production tracing and observability
- ✦AI red-teaming and adversarial testing
- ✦AI governance and standards enforcement
- ✦Prompt versioning and datasets
- ✦CI/CD and real-time alerting
Use cases
- →Estimating GPU memory before training or inference
- →Comparing and selecting LLMs
- →Learning ML and LLM engineering
- →Modeling production deployment costs
- →Giving developers governed access to many LLMs
- →Attributing and controlling LLM spend
- →Keeping apps running during provider outages
- →Testing and comparing prompts and models
- →Evaluating and simulating AI agents
- →Monitoring agents in production
- →Running human evaluation pipelines
- →Benchmark and regression-test LLM systems
- →Trace and monitor production LLM apps
- →Stress-test apps against attacks
- →Standardize AI quality across teams
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