Hyperresearch vs Llama App
Hyperresearch and Llama App are both AI assistants tools. Hyperresearch is aimed at developers and enterprise, while Llama App is aimed at developers and freelancers. Both have a free plan.
Deep research reports with every citation checked against source
Free tray app that runs llama.cpp models as one local AI server
| Pricing | Open source | Open source |
| Starting price | Not published | Not published |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Built for | Developers, Enterprise, Small businesses | Developers, Freelancers, Small businesses |
| Platforms | web | windows, macos, linux |
| Country | — | — |
| Rating | — | — |
Choose Hyperresearch if
Analysts, researchers and agent builders who need long reports or short answers where every citation can be verified.
- Every cited claim is checked against its source text
- Pay per run with no monthly subscription
- Open-source CLI for teams that want to self-run the pipeline
Look elsewhere if: People who want instant conversational answers or a general AI agent workspace (Perplexity, Genspark).
Choose Llama App if
Windows and Mac developers who want a free, private local LLM server that their editors, agents and scripts can share.
- Completely free and open source with no API keys or usage bills
- Built by the llama.cpp maintainers and Hugging Face
- No terminal, build step or admin rights needed to install
Look elsewhere if: Teams that need managed cloud models, admin controls or vendor support (Ollama, LM Studio).
Hyperresearch vs Llama App pricing
Hyperresearch
- Open-source CLI$0MIT license, runs inside your own Claude Code or Codex
- Light run$9About 30-40 minutes, 2,500-4,000 word report
- Deep run$493-5 hours, 150-200 sources; first run free with a card
- Answers MCP/APIFrom $0.05Per call; $5 one-time free credit, no card
- EnterpriseCustomContact sales
Llama App
- Open Source$0MIT-licensed Windows app; free download, no API keys or usage bills
Hyperresearch · Key features
- Deep research runs across roughly 150-200 sources with cited reports
- Per-citation verdicts, quote checks and retraction sweeps
- Searchable source vault with semantic search and tar.gz export
- Direct calls to 40+ data APIs such as SEC EDGAR, BLS and PubMed
- Answers MCP with ask and search tools for AI agents
- REST API with scoped keys, async runs and webhooks
Cons
- Deep runs take 3 to 5 hours to finish
- $49 per Deep run adds up for frequent research
- Benchmark results are run and reported by the vendor
Llama App · Key features
- Windows 11 tray app for x64 and ARM64 with native Windows on Arm support
- One-click model downloads from the Hugging Face Hub
- Model recommendations and memory estimates based on your PC
- Alt+Space chat overlay plus a browser chat at localhost:9931
- OpenAI-compatible and Anthropic-compatible local API
- Streaming, tool calling, structured output and vision support
Cons
- New project with a smaller ecosystem than Ollama or LM Studio
- Performance depends entirely on local RAM and GPU
- Windows app is still pre-1.0 (v0.13.0) and changing fast
Hyperresearch vs Llama App: FAQ
Do Hyperresearch and Llama App have a free plan?
Yes, both Hyperresearch and Llama App have a free plan; paid plans add more usage and features.