LobeHub vs LLM Convergence
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
LobeHub
Access over 30 AI models, including GPT-4 and Gemini, in a single interface. Build custom AI agents tailored to your workflow for tasks like coding, writing, and research. Enjoy private, secure, and open-source interactions with multimodal intelligence.
- Access 30+ AI models
- Build custom AI agents
- Multi-model conversations
- Private and open-source
- Multimodal intelligence (text, images, files)
- Local AI support via Ollama
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LobeHub - Your AI Agent Teammates, All in One Place Switch between Claude, GPT-4, Gemini, DeepSeek, and 30+ models in a single conversation. LobeHub is the private, open-source AI platform built for people who demand more from AI. 10M+ users worldwide / 83.1K GitHub Stars AI Agents That Work For You Build and chat with custom AI Agents tailored to your workflow - writing, coding, research, and more. Your agents learn your preferences and grow smarter over time. Multi-Model in One Chat Don't settle for one AI. Compare Claude vs. Gemini, run DeepSeek alongside GPT - get the best answer every time. Supports 30+ LLMs including Ollama for fully local, offline AI. Private & Secure by Design Your conversations stay yours. LobeHub supports local model deployment via Ollama - no data sent to third parties. Open-source and fully auditable. Multimodal Intelligence Chat with text, images, files, and more. LobeHub understands context across formats for deeper, richer interactions. Built for Every Use Case Coding: Debug, generate, and review code with AI Writing: Drafts, emails, creative content in seconds Research: Summarize papers, compare sources, deep-dive topics Learning: Get personalized explanations on any subject Why LobeHub? 30+ AI models in one app Private and open-source Custom AI Agents Local AI via Ollama Free to start Connect With Us X: @lobehub Email: hello@lobehub.com Terms: lobehub.com/terms
LLM Convergence
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One AI model can be confidently wrong. LLM Convergence asks several at once and makes them reconcile. Pose a question and LLM Convergence sends it, in parallel, to a panel of leading AI models. A model you pick acts as the leader: it breaks every answer down into individual claims and reconciles them over a few rounds. What comes back is a single answer the panel converged on - plus a convergence score, and the specific points they disagreed on surfaced instead of buried. HOW IT WORKS - Ask in parallel - your prompt goes to several models at once, across OpenAI, Anthropic, Google, and fast open-model hosts. - Reconcile - a leader model decomposes each answer into claims and reconciles them round by round, so agreement is earned, not assumed. - See convergence - read one reconciled answer with a convergence score, and inspect the claims that didn't line up. TWO CONSENSUS MODES - Single judge - a leader model judges and reconciles each round. - Claim-commit voting - claims commit by panel quorum and stay committed (inspired by RAFT). GROUND ANSWERS IN THE WEB (OPTIONAL) Turn on grounding and LLM Convergence runs a web search before the panel answers, then puts the cited results in front of every model - so they reason over real sources instead of memory alone. Grounded answers come back with tappable [S1]-style citations and a Sources list, a grounding score next to the convergence score, and an honest "couldn't ground this" when a search turns up nothing. It uses a frontier key you already have (Claude, Gemini, or an OpenRouter model) - no separate search key, and it works on every platform. FACT-CHECK MODE Ask LLM Convergence to fact check something and it switches from answering to verifying. Paste a link and it opens the page - or check pasted text, a bare claim, or the answer it just gave you. It pulls out the checkable claims, runs a separate web search for each one, has the whole panel weigh the evidence, and returns a verdict per claim - supported, refuted, partly supported, or unverifiable - with citations you can tap. It reads how you phrased the question, so there is no mode to switch on. Fact-check mode needs a model that can search the web. BRING YOUR OWN KEYS Use your own provider API keys. They're stored securely in your device's keychain and used only to call the providers you choose - never sent to us. One key per provider: add more models from a vendor you've already set up without re-pasting its key, or override the key for a specific model. Mix and match models, run more than one model from the same vendor, and pin whichever one leads. PRIVATE BY DESIGN LLM Convergence is a pure client - there's no account and no server of ours. - No analytics, no telemetry, no ad SDKs. - Prompts go straight from your device to the providers you configured. - Chat history is saved locally and stays on your device. Delete any conversation anytime. YOU'RE IN CONTROL Choose which models sit on the panel, which one leads, how many rounds run, and the convergence threshold. Multi-turn chat with local history and Markdown-rendered answers. Run more than one conversation at a time - a chat keeps working in the background while you read another. Supported providers: OpenAI, Anthropic (Claude), Google (Gemini), and OpenAI-compatible hosts including Groq, Fireworks, Cerebras, and OpenRouter - the last reaching many models behind a single key - with free open models available. Note: LLM Convergence requires your own API keys from the providers you want to use. Provider usage is billed by those providers per their own pricing.
Screenshots
Verdict
The clearest difference is update cadence: LobeHub at every 10 days against LLM Convergence's every 3 weeks. LLM Convergence's advantage is device support (4 vs 2) and iOS requirement (13.0 vs 16.4). On price, ads and in-app purchases there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. LobeHub sells 6 in-app purchases, starting at $17.99 per month and LLM Convergence sells 1 one-off in-app purchase. Whichever you choose, the download price is not the number that matters.
LobeHub ships an update every 10 days, LLM Convergence every 3 weeks. The most recent releases landed on November 5, 2026 and November 10, 2026 respectively.
| Parameter | LobeHub | LLM Convergence |
|---|---|---|
| Price | Free | Free |
| Rating | 4.8 (14 ratings) — better | — |
| Positive reviews | 93.3% of reviews | — |
| Number of ratings | 14 — better | — |
| Update frequency | Every 10 days — better | Every 3 weeks |
| Ads | No | No |
| In-app purchases | Yes | Yes |
| Monetization | Free with in-app purchases | — |
| Devices | iPhone, iPad | iPhone, iPad, iPod, Mac — better |
| Requires iOS | 16.4 | 13.0 — better |
| Further details — not scored | ||
| Size | 113 MB | 25 MB |
| Age rating | 17+ | 9+ |
| Developer | Lobehub | Ilya Obshadko |
In-app purchases
LobeHub
- Starter Monthly$17.991 Month
- Premium Monthly$34.991 Month
- Ultimate Monthly$69.991 Month
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- Starter Yearly$139.991 Year
- Premium Yearly$279.991 Year
- Ultimate Yearly$549.991 Year
LLM Convergence
- LLM Convergence Pro$6.29









