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

Developer API Platforms AI Browser Automation Gpu Cloud Rental Web Agents Foundation Model Providers LLM Ops Observability Llms Foundation Models Model Hosting Inference

SiliconFlow

✓ verified

Developer platform serving 200+ optimized LLMs via APIs; high traffic.

434K visits/mo1.1K 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

Runable

✓ verifiedPaid

General AI agent executing tasks and integrating thousands of apps; very high traffic.

955K visits/mo125K saves

MiniMax

✓ verifiedFreemium

Chinese AGI company building multimodal LLMs, Hailuo video, speech and music models, plus AI apps and open APIs.

4.6M visits/mo

Runpod

✓ verifiedPaid

Developer-focused GPU cloud offering on-demand pods, serverless inference and multi-node clusters at per-second pricing for AI workloads.

2.3M visits/mo

Pricing

No public pricing

Max Token Plan: 119 CNY/mo (frontier models, up to ~7.1B tokens/mo)

Pods A40 48GB: $0.44/hr

Pods RTX 4090 24GB: $0.69/hr

Pods A100 SXM 80GB: $1.49/hr

Pods H100 SXM 80GB: $2.99/hr

Pods H200 141GB: $4.39/hr

Pods B300 288GB: $7.39/hr

Core features

✦Access over 200 optimized models, including LLMs, image, video, and audio processing.
✦Achieve low-latency, high-throughput inference with SiliconFlow's self-developed acceleration frameworks.
✦Deploy models via serverless inference, dedicated endpoints, or reserved GPUs to suit various workloads.
✦Customize models to your data with built-in monitoring and elastic compute resources.
✦Ensure data privacy and business security with dynamic scaling and fault tolerance mechanisms.

✦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

✦Create presentations, websites, reports, slides, documents, podcasts images & videos
✦Conduct deep research on any topic
✦Command a virtual computer to browse the web
✦Connect and automate with over 2700+ apps

✦MiniMax M-series LLMs (M3, 1M context, MSA)
✦Hailuo AI video generation
✦Speech and music generation models
✦MiniMax Code agentic coding tool
✦Consumer apps (Hailuo, Xingye)
✦Open API and Token Plan for developers

✦On-demand GPU pods across 30+ GPU types and 31 regions
✦Serverless GPU endpoints with sub-200ms cold starts
✦Zero idle cost billing for inference workloads
✦Multi-node clusters for distributed training
✦Persistent network storage for full pipelines
✦Real-time logs, monitoring and autoscaling from 0 to hundreds of workers

Use cases

→Quickly deploy various AI models via a simple API, supporting tasks like text, image, audio, and video processing.
→Utilize serverless GPUs to automatically scale AI applications, ensuring flexibility and cost-efficiency.
→Access high-performance GPUs for demanding workloads, such as large-scale inference and video generation.
→Deploy custom models with guaranteed performance and scalability, tailored to specific business needs.

→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

→Generate a high-conversion landing page for a startup's ebook.
→Build a web-based image cropper tool with live preview.
→Create a beginner-friendly PDF cheatsheet for Python.
→Develop a one-week travel itinerary for a destination like Vietnam.
→Analyze social media mentions and sentiment for a specific entity.
→Organize hiring task submissions from emails into a Google Sheets spreadsheet.
→Clone a pixel-perfect website for design accuracy and responsive web experience.
→Make a podcast on the rise of SpaceX, make it conversational and include fun facts.

→Coding and agentic tasks
→AI video generation
→Text-to-speech and music creation
→Building on MiniMax model APIs

→Renting GPUs for model training and fine-tuning
→Deploying low-latency real-time inference APIs
→Running AI agents that need to scale instantly
→Processing compute-heavy batch or distributed workloads

Visit

Visit siliconflow.com →