Head to head
Stop guessing which one. Put them side by side.
Up to 4 tools, same rows for each: what it is, what it really costs, the trap, and how to wire it up. The URL carries your picks — send it to anyone.
LM StudioVercel AI SDKAnthropic API / Claude Platform
Quick read
- Free with no card: Vercel AI SDK.
| Field | LM Studiolmstudio.ai | Vercel AI SDKai-sdk.dev | Anthropic API / Claude Platformplatform.claude.com |
|---|---|---|---|
| What it is | A desktop GUI for running open models locally on Mac, Windows and Linux, built on llama.cpp and MLX. It includes a model browser, chat UI and a local OpenAI-compatible server, plus an lms CLI and Python and TypeScript SDKs for wiring apps to it. | A TypeScript toolkit that gives every model provider one interface — generateText, streamText, structured object generation, tool calling — plus React, Svelte and Vue hooks for streaming UI. It supports 100+ models across 20+ providers; a Python version is in beta. | Anthropic's first-party API for the Claude models, plus the Agent SDK, tool use, MCP connectors, files and batch endpoints. This is a model provider, not a gateway — you get the models Anthropic trains and nothing else, with prompt caching and batch as the main cost levers. |
| Category | Model APIs, routers & observability | Model APIs, routers & observability | Model APIs, routers & observability |
| Cost tier | mixed | free | paid |
| Pricing | Desktop app free for local use. Optional pay-as-you-go cloud credits for frontier open models, e.g. DeepSeek V4 Flash $0.13/M input, Kimi K3 $3.00/M. Enterprise pricing on request. | Free and open source. No cost beyond the model provider you call; Vercel AI Gateway usage is billed separately if you opt into it. | Per token. Opus 5 $5/$25 per M in/out; Sonnet 5 $2/$10; Haiku 4.5 $1/$5; Fable 5 and Mythos 5 $10/$50. Batch API 50% off; cache reads 0.1x input. |
| Why builders pick it | The friendly version of local inference — it tells you which quantisation fits your RAM before you download 40GB. Good for comparing open models side by side, then serving the winner to your app on localhost. | Swapping providers is a one-line change, and streaming chat UI that would take a day of SSE plumbing takes about ten lines. It is the default choice for anything Next.js shaped. | Best-in-class coding and agentic tool use, and the only place to get Claude with full feature support. Prompt caching at 0.1x read cost makes long system prompts and big codebase context genuinely affordable. |
| Watch out for | GUI-first design makes it awkward to run headless on a server — use Ollama or vLLM for that. Commercial use inside a company may require the separate enterprise licence. | Major versions have shipped breaking API changes, so older tutorials and AI-generated snippets often will not compile — check which version an example targets before copying it. | Output tokens cost 5x input, and extended thinking bills as output — a reasoning-heavy agent loop can 10x your bill versus the naive estimate. Tier-based rate limits throttle new accounts hard. |
| How to wire it up | not logged | npm i ai | npm i @anthropic-ai/sdk (or pip install anthropic) |
| Editor's pick | No | No | No |
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# Tool comparison — LM Studio vs Vercel AI SDK vs Anthropic API / Claude Platform Source: Kbaise, a directory of tools that work with Lovable projects. Pick one and tell me why before writing any integration code. ## LM Studio (lm-studio) - URL: https://lmstudio.ai - Category: Model APIs, routers & observability - Cost: mixed — Desktop app free for local use. Optional pay-as-you-go cloud credits for frontier open models, e.g. DeepSeek V4 Flash $0.13/M input, Kimi K3 $3.00/M. Enterprise pricing on request. - What it is: A desktop GUI for running open models locally on Mac, Windows and Linux, built on llama.cpp and MLX. It includes a model browser, chat UI and a local OpenAI-compatible server, plus an lms CLI and Python and TypeScript SDKs for wiring apps to it. - Why builders pick it: The friendly version of local inference — it tells you which quantisation fits your RAM before you download 40GB. Good for comparing open models side by side, then serving the winner to your app on localhost. - Trap: GUI-first design makes it awkward to run headless on a server — use Ollama or vLLM for that. Commercial use inside a company may require the separate enterprise licence. - Full dossier: /api/public/tools/lm-studio ## Vercel AI SDK (vercel-ai-sdk) - URL: https://ai-sdk.dev - Category: Model APIs, routers & observability - Cost: free — Free and open source. No cost beyond the model provider you call; Vercel AI Gateway usage is billed separately if you opt into it. - What it is: A TypeScript toolkit that gives every model provider one interface — generateText, streamText, structured object generation, tool calling — plus React, Svelte and Vue hooks for streaming UI. It supports 100+ models across 20+ providers; a Python version is in beta. - Why builders pick it: Swapping providers is a one-line change, and streaming chat UI that would take a day of SSE plumbing takes about ten lines. It is the default choice for anything Next.js shaped. - Trap: Major versions have shipped breaking API changes, so older tutorials and AI-generated snippets often will not compile — check which version an example targets before copying it. - Wiring: npm i ai - Full dossier: /api/public/tools/vercel-ai-sdk ## Anthropic API / Claude Platform (anthropic-api-claude-platform) - URL: https://platform.claude.com - Category: Model APIs, routers & observability - Cost: paid — Per token. Opus 5 $5/$25 per M in/out; Sonnet 5 $2/$10; Haiku 4.5 $1/$5; Fable 5 and Mythos 5 $10/$50. Batch API 50% off; cache reads 0.1x input. - What it is: Anthropic's first-party API for the Claude models, plus the Agent SDK, tool use, MCP connectors, files and batch endpoints. This is a model provider, not a gateway — you get the models Anthropic trains and nothing else, with prompt caching and batch as the main cost levers. - Why builders pick it: Best-in-class coding and agentic tool use, and the only place to get Claude with full feature support. Prompt caching at 0.1x read cost makes long system prompts and big codebase context genuinely affordable. - Trap: Output tokens cost 5x input, and extended thinking bills as output — a reasoning-heavy agent loop can 10x your bill versus the naive estimate. Tier-based rate limits throttle new accounts hard. - Wiring: npm i @anthropic-ai/sdk (or pip install anthropic) - Full dossier: /api/public/tools/anthropic-api-claude-platform ## Quick read - Free with no card: Vercel AI SDK. ## Rules 1. Prefer the free tier when no budget was stated, and say what the ceiling is. 2. Read the full dossier before integrating. 3. Fetch /api/public/models before writing any AI model ID.
Agents can fetch the same thing: GET /api/public/compare?slugs=lm-studio,vercel-ai-sdk,anthropic-api-claude-platform