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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

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Inference Providers Hardware Infrastructure Web Agents Foundation Model Providers LLM Ops Observability Llms Foundation Models Model Hosting Inference AI Agents AI Agents Infrastructure

Groq

✓ verifiedFreemium

Fast, low-cost AI inference provider running LLMs on custom LPU chips via GroqCloud's pay-as-you-go API.

3.6M visits/mo

Manus

✓ verifiedFreemium

General-purpose autonomous AI agent that plans and runs multi-step tasks such as building sites, slides and research in the cloud.

28M visits/mo89K saves

Weights & Biases

✓ verifiedFreemium

Weights & Biases is a widely used MLOps platform for experiment tracking, model management and evaluating AI applications.

2.5M visits/mo

Claude

✓ verifiedFreemium

Anthropic's AI assistant for writing, coding, and analysis across web, mobile, and desktop, plus a developer API.

22M visits/mo231K saves

chatglm.cn

4.4M visits/mo

Pricing

GPT-OSS 20B: $0.075 per 1M input tokens ($0.30 per 1M output)

GPT-OSS 120B: $0.15 per 1M input tokens

No public pricing

Free: $0

Pro: $17/month billed annually ($200 up front), or $20/month

Max: From $100/month

Team: $20/seat/month billed annually ($25 monthly); premium seats $100/seat/month annually ($125 monthly)

Enterprise: Contact sales

No public pricing

Core features

✦LPU custom inference hardware
✦GroqCloud tokens-as-a-service API
✦High-speed, low-latency inference
✦Pay-as-you-go token pricing
✦Free API key to start
✦Broad open-model support

✦Autonomous multi-step task execution
✦Website and app building
✦AI slides, design and image generation
✦Manus browser operator
✦Wide Research mode
✦Cross-platform web, desktop and mobile apps

✦Experiment tracking and visualization for ML training runs
✦Model and artifact versioning and management
✦Hyperparameter optimization tooling
✦Collaborative dashboards and reports for ML teams
✦LLM application tracing and evaluation tooling

✦Conversational writing and editing
✦Code generation and debugging (Claude Code)
✦Data analysis and visualization
✦Web search plus memory across chats
✦Connectors and remote MCP integrations
✦Extended thinking for complex tasks

✦Dialogue with GLM large model
✦AI search
✦AI drawing
✦AI reading
✦AI-generated video (沉思清影-AI生视频)
✦AI-generated PPT
✦Data analysis tools
✦Code assistance (代码速写)
✦Intelligent agents

Use cases

→Running LLM inference at high speed
→Cutting inference costs at scale
→Powering low-latency AI chat apps
→Serving models via a hosted API

→Automate end-to-end digital tasks
→Produce websites and presentations
→Conduct broad research
→Hand off browser tasks to an agent

→ML engineers tracking and comparing training experiments
→Research teams versioning datasets and model checkpoints
→Teams building and evaluating LLM-powered applications
→Organizations collaborating on machine learning projects

→Drafting and refining written content
→Building and debugging software
→Analyzing datasets for insights
→Research and learning support
→Team and enterprise automation

→Engaging in conversations with an AI model
→Generating images and videos using AI
→Creating presentations with AI assistance
→Analyzing data with AI tools
→Assisting with code development

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