Skip to main content
📖 The AI Tool Bible

Scalattice

Pay less for AI, earn from your GPU.

Paid· Per-token pay-as-you-go on prepaid credits. Example rates per 1M tokens: Qwen-2.5-Coder-7B $0.029 in / $0.077 out; Llama-3.3-70B $0.098 in / $0.306 out. No platform fee for GPU providers to connect.AgentsOpen-weight models including Qwen 2.5 Coder, Llama 3.3 70B, DeepSeek R1, Gemma
Visit website →
Best for

Cost-sensitive developers and indie AI teams building agents, RAG apps or coding copilots on open-weight models who want an OpenAI-compatible API without paying frontier-lab prices, plus GPU owners looking to monetise idle capacity.

Skip if

Teams that need frontier closed models (GPT-4o, Claude, Gemini), enterprises with strict single-tenant inference SLAs, or anyone whose workflow depends on fine-tuning rather than plain inference.

Scalattice is a distributed GPU inference marketplace that exposes a curated catalog of open-weight LLMs (Qwen, Llama 3.3, DeepSeek R1, Gemma and a handful of others) behind an OpenAI-compatible API. It sits in the same competitive space as OpenRouter, Together AI and Fireworks, but its distinguishing bet is a two-sided network: on one side, developers get cheap per-token inference; on the other, GPU owners (individual rigs, small clusters, homelab operators) run an open-source agent to sell idle capacity and get paid per token served. The platform handles routing, health checks, security tiering and regional policy enforcement so that requests can be constrained to specific residency zones, which matters for teams that cannot ship prompts to arbitrary anonymous hardware. Because the API surface mimics OpenAI, integration is usually a base_url swap in an existing SDK — LangChain, LlamaIndex, LiteLLM, Vercel AI SDK and anything that speaks the OpenAI schema work with no code changes. Typical workflows include powering agent loops on cheaper open models, running background summarisation and classification at scale, prototyping RAG stacks without committing to a frontier-lab bill, and giving coding copilots a cheap Qwen-Coder backend. For hardware providers, the agent is designed to be idle-friendly: it accepts work when the GPU is free and steps aside for local jobs. Prepaid credits and live usage dashboards give developers a hard spend ceiling, and payout tracking gives providers a transparent view of earnings. The trade-off is model breadth (a small curated list rather than everything on Hugging Face) and the operational reality that distributed marketplaces tend to have more variable latency than a single-provider inference API.

Editor's take

Scalattice is the interesting kind of infra play — cheap inference for devs on one side, a way for GPU owners to earn on the other, tied together by an OpenAI-shaped API. Worth a slot in your model router next to OpenRouter or Together, especially for background jobs on Qwen and Llama where latency variance is acceptable. Do not stake production-critical low-latency paths on it until you have benchmarked your specific route.

— The AI Tool Bible editorial team

Pros

  • OpenAI-compatible endpoints make migration a base_url change for most SDKs
  • Genuinely cheap per-token rates on popular open models like Llama 3.3 70B and Qwen-2.5-Coder
  • Regional and security-tier routing lets teams keep prompts inside chosen jurisdictions
  • Two-sided model means idle GPU owners can offset hardware costs at zero platform fee
  • Prepaid credits give a hard ceiling on spend without needing budget alerts
  • Curated model list avoids the maintenance burden of self-hosting Llama or DeepSeek

Cons

  • ⚠️ Small curated catalog compared to OpenRouter or Hugging Face Inference Endpoints
  • ⚠️ Distributed provider pool can mean more variable latency than single-tenant APIs
  • ⚠️ No frontier closed models (GPT-4o, Claude, Gemini) — open weights only
  • ⚠️ Younger platform without the multi-year uptime history of established inference providers
  • ⚠️ Provider-side earnings depend on request flow the network can actually route to your hardware

Use cases

Cheap open-model inference behind an OpenAI-compatible SDKAgent loops on Llama 3.3 70B or DeepSeek R1Coding copilot backend on Qwen-2.5-CoderBackground summarisation and classification at scaleRAG chatbot prototyping without frontier-lab billsRegion-pinned inference for data residencyMonetising idle homelab or personal GPU capacityMulti-provider model router fallback tier

Explore related

Compare with similar tools

All in Agents

LangGraph

Featured
Agents · BYO (Claude / GPT / open)
8.8

Stateful, graph-based agent orchestration from LangChain.

Freemium· Developer: $0 / seat per month · Plus: $39 / seat per month · Enterprise: Custom pricingstateful agentshuman-in-loop

CrewAI

Featured
Agents · BYO (Claude / GPT / open)
8.4

Python framework for multi-agent orchestration.

Freemium· Basic: Free · Enterprise: Custommulti-agentorchestration

Ernie Bot

Agents · Baidu ERNIE 4.0 / ERNIE X1 / ERNIE Turbo (in-house)
8.7

Baidu's Mandarin-first ChatGPT rival, powered by the ERNIE model family

Freemium· Free tier for Ernie 3.5 access; Ernie 4.0 and premium features require a paid subscription (approximately CNY 59.9/month for individual plans); enterprise API pricing via Baidu AI Cloud Qianfan platform is metered per 1K tokens.Mandarin content writing and marketing copyChinese-language document Q&A and summarisation

Moveworks

Agents · Orchestrates multiple enterprise-ready LLMs (undisclosed mix, historically including OpenAI GPT and in-house models via its Reasoning Engine)
8.7

The enterprise AI assistant that searches, answers, and takes action across your business systems

Enterprise· Enterprise-only pricing; no public tiers. Quoted per organization based on employee count, integrations, and agent scope. Contact sales for a quote.IT service desk ticket deflectionHR policy Q&A and self-service

AWS Bedrock

Agents · Multi-model: Anthropic Claude, Meta Llama, Mistral, Cohere, AI21, Amazon Nova/Titan, DeepSeek, Stability, OpenAI GPT
8.6

Build and scale generative AI applications with foundation models

Paid· Pay-as-you-go per 1K input/output tokens per model; on-demand, batch, and provisioned throughput tiers. New AWS accounts get up to $200 in credits. Enterprise agreements via AWS.Enterprise RAG chatbot over private documentsMulti-step tool-using agents via AgentCore

Claude Agent SDK

Agents · Claude Opus / Sonnet
8.6

Anthropic's official SDK for building autonomous Claude agents.

Free· Free SDK; API usage billed at Claude ratesClaude agentstool use