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.
Fireworks AIVercel AI SDKAnthropic API / Claude Platform
Quick read
- Free with no card: Vercel AI SDK.
| Field | Fireworks AIfireworks.ai | Vercel AI SDKai-sdk.dev | Anthropic API / Claude Platformplatform.claude.com |
|---|---|---|---|
| What it is | A speed-focused inference host for open-weight models, offering serverless token endpoints, per-second on-demand GPU deployments and managed fine-tuning. It competes with Together and Groq on throughput and cold-start behaviour rather than on proprietary models. | 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 | Per token serverless across Standard/Priority/Fast tiers; embeddings $0.008-$0.10/M. On-demand GPUs billed per second: H100/H200 ~$7-8/hr, B200 ~$10-13/hr. Fine-tuning $0.50-$40 per M training tokens. $1 free credit. | 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 | Good when you need a specific open model served reliably with tunable speed and price tiers, or want LoRA fine-tunes deployed without managing GPUs. Serverless has no cold starts, which suits bursty consumer traffic. | 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 | Only $1 in free credit, on-demand GPU rates are scheduled to rise on 1 September, and region-restricted deployments carry a 1.5x premium. Dedicated deployments bill while idle. | 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 | pip install fireworks-ai | npm i ai | npm i @anthropic-ai/sdk (or pip install anthropic) |
| Editor's pick | No | No | No |
Which one did you ship?
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# Tool comparison — Fireworks AI 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. ## Fireworks AI (fireworks-ai) - URL: https://fireworks.ai - Category: Model APIs, routers & observability - Cost: mixed — Per token serverless across Standard/Priority/Fast tiers; embeddings $0.008-$0.10/M. On-demand GPUs billed per second: H100/H200 ~$7-8/hr, B200 ~$10-13/hr. Fine-tuning $0.50-$40 per M training tokens. $1 free credit. - What it is: A speed-focused inference host for open-weight models, offering serverless token endpoints, per-second on-demand GPU deployments and managed fine-tuning. It competes with Together and Groq on throughput and cold-start behaviour rather than on proprietary models. - Why builders pick it: Good when you need a specific open model served reliably with tunable speed and price tiers, or want LoRA fine-tunes deployed without managing GPUs. Serverless has no cold starts, which suits bursty consumer traffic. - Trap: Only $1 in free credit, on-demand GPU rates are scheduled to rise on 1 September, and region-restricted deployments carry a 1.5x premium. Dedicated deployments bill while idle. - Wiring: pip install fireworks-ai - Full dossier: /api/public/tools/fireworks-ai ## 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=fireworks-ai,vercel-ai-sdk,anthropic-api-claude-platform