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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Glean
✓ verifiedPaid
Enterprise Work AI platform for company-wide search, an AI assistant and building governed agents across 250+ connectors.
3.2M visits/mo
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Kiro AI
✓ verifiedFreemium
Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.
3.8M visits/mo
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Cosine
✓ verifiedPaid
Cosine builds Lumen, code-specialist AI models you can deploy where your data lives for secure, sovereign coding.
31K visits/mo
Pricing
Basic: $0/mo (free forever)
Pro: $19/mo
Pro+: $59/mo
No public pricing
Free: $0/mo (50 credits)
Pro: $20/user/mo (1,000 credits)
Pro+: $40/user/mo (2,000 credits)
Pro Max: $100/user/mo (5,000 credits)
Power: $200/user/mo (10,000 credits)
Starter: $19/mo (4M credits)
Team: $199/mo (47M credits)
Enterprise: $999/mo (240M credits)
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
- ✦Enterprise search across company apps
- ✦Personal AI assistant grounded in work data
- ✦Agent builder, orchestration and governance
- ✦250+ connectors and actions
- ✦Enterprise knowledge graph and hybrid search
- ✦Security controls for scaling AI
- ✦Spec-driven development (requirements, design, tasks)
- ✦Parallel agents, local or cloud
- ✦Property-based and correctness testing
- ✦Works in IDE, CLI, web and mobile
- ✦Multiple models (Claude, open-weight, Auto)
- ✦Headless CLI for CI/CD
- ✦Context from tools like Figma and Terraform
- ✦Lumen code-specialist models (Scout, Outpost, Sovereign)
- ✦Deployable on-prem, air-gapped or sovereign
- ✦Coding agent, CLI and cloud surfaces
- ✦Benchmarked on cost-per-successful-task
- ✦Support for niche programming languages
Use cases
- →Estimating GPU memory before training or inference
- →Comparing and selecting LLMs
- →Learning ML and LLM engineering
- →Modeling production deployment costs
- →Search across all company knowledge
- →Answer employee questions with grounded AI
- →Build and deploy custom AI agents
- →Automate cross-system workflows
- →Turning prompts into maintainable, spec-matched code
- →Catching bugs unit tests miss
- →Reviewing PRs and fixing bugs in CI/CD
- →Automating software development tasks
- →Secure, sovereign or air-gapped AI coding
- →Working with niche programming languages
- →Cybersecurity and red-team code work
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