LangGraph vs Scalattice
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
LangGraph Agents | Scalattice Agents | |
|---|---|---|
| Tagline | Stateful, graph-based agent orchestration from LangChain. | Pay less for AI, earn from your GPU. |
| Category | Agents | Agents |
| Pricing | Freemium· Developer: $0 / seat per month · Plus: $39 / seat per month · Enterprise: Custom pricing | 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. |
| Model | BYO (Claude / GPT / open) | Open-weight models including Qwen 2.5 Coder, Llama 3.3 70B, DeepSeek R1, Gemma |
| Editorial score | 8.8 / 10 | — |
| Use cases | stateful agentshuman-in-loopproduction | 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 |
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| Website | www.langchain.com | scalattice.com |
Pick LangGraph if
- ✅ Reliable, debuggable agent graphs
- ✅ Built-in persistence + HITL
- ✅ Production-grade
- ✅ Tight LangSmith integration
Pick Scalattice if
- ✅ 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