Big AGI
Big-AGI: multi-model AI workspace for beam, merge, compare up to 24 LLMs
Big-AGI's Beam and Merge are unmatched for catching hallucinations and boosting confidence, but the learning curve and API key management limit it to experts. If you need to cross-validate critical outputs with full transparency, it's worth the setup. Casual users should look to managed services like ChatGPT.
Verified 7d ago · liveness 81/100 · cite: rightaichoice.com/tools/big-agi
- AI researchers and power users cross-validating model outputs
- Physicians and medical professionals needing reliable AI for decision making
- Developers building multi-model workflows with custom personas
- Problem solvers who compare responses to catch hallucinations
- Casual users wanting a simple chatbot with no configuration
- Teams needing built-in billing or usage management
- Users who prefer a managed service without managing API keys
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Skip Big AGI if you prefer a managed service without handling your own API keys and configuration, or if you're a casual user looking for a simple chatbot.
You must supply your own API keys, so usage costs add up quickly when running multiple models in parallel.
Big-AGI's pricing is ideal for power users who already have API keys and want zero markup. At $9/mo for Pro with cloud sync, it's cheaper than many managed alternatives, but you pay for API usage on top. For casual users, ChatGPT may be simpler, though pricier at higher usage.
In short
Big AGI — Big-AGI: multi-model AI workspace for beam, merge, compare up to 24 LLMs. Best for AI researchers and power users cross-validating model outputs, Physicians and medical professionals needing reliable AI for decision making, Developers building multi-model workflows with custom personas. Free to start; paid plans from $9108/mo.
What's new in Big AGI
Checked 4 days agoAcross the latest 10 updates: 10 changelog entries.
Large model refresh including GLM 5.3, Qwen, DeepSeek August releases, MiniMax, Kimi, both native and via Fireworks, NVIDIA, OpenRouter; improved model update system; mobile screen stays on while streaming
Added GLM 5.3, Qwen, DeepSeek August releases, MiniMax, Kimi via native and Fireworks, NVIDIA, OpenRouter. Improved model update system; mobile screen stays on during streaming.
Gemini 3.7 Flash with half-price through 2026: $0.75 in and $3.75 out; SpaceXAI Grok 4.6 Modular Cloud preview with MiniMax M3, Kimi K2.7 Code, and Gemma 4
Added Gemini 3.7 Flash at half price, Grok 4.6 Modular Cloud preview, MiniMax M3, Kimi K2.7 Code, Gemma 4.
Nous Research support: Hermes models and the Portal subscription gateway; Ramble preview: voice input refinements, UI and auto-title improvements
Added support for Nous Research Hermes models and Portal subscription. Ramble preview improved voice input, UI, and auto-title.
High-quality ramble dictation in all voice inputs; rename attachments; PDF export for conversations and single messages; model and pricing updates including Sakana and Fireworks
Ramble dictation now high-quality in all voice inputs. Added attachment renaming, PDF export, updated models and pricing including Sakana and Fireworks.
Support for DeepSeek V4 Flash 0731 also via OpenRouter, and Gemini Robotics-ER 2; Ramble floating recorder bubble on mobile with recovery in-app notifications; Full-width AI responses in Beam
Added DeepSeek V4 Flash 0731 via OpenRouter and Gemini Robotics-ER 2. Ramble floating recorder on mobile; full-width AI responses in Beam (Labs option).
Documentation relaunched: new big-agi.com/docs covers features, guides, tips, troubleshooting; support for OpenAI gpt-transcribe ASR models, cross-turn reasoning, commentary channels; mobile improvements
Relaunched documentation at big-agi.com/docs. Added OpenAI gpt-transcribe ASR, cross-turn reasoning, commentary channels, mobile improvements.
New NVIDIA NIM service with FREE models, including Nemotron 3 Ultra, DeepSeek V4 Pro, Inkling; Ramble preview: custom dictionary, topics, sentiment, background mode for mobile; Helicone inspectability removed
Added free NVIDIA NIM models (Nemotron 3 Ultra, DeepSeek V4 Pro, Inkling). Ramble gained custom dictionary, topics, sentiment, background mobile mode. Removed Helicone inspectability.
Support for Claude Opus 5, Gemini 3.6 Flash and 3.5 Flash-Lite; Moonshot supported also through Kimi Code subscriptions; Sakana Fugu Ultra 1.1 and Fugu Cyber
Added Claude Opus 5, Gemini 3.6 Flash and 3.5 Flash-Lite. Moonshot via Kimi Code subscriptions. Added Sakana Fugu Ultra 1.1 and Fugu Cyber.
Ramble preview: high-quality and long-duration text-to-speech notes; faster signed-in startup with cached sessions, safer sync session refresh; OpenRouter caching and OpenAI tool-call reliability fixes
Ramble preview: high-quality long-duration TTS notes. Faster startup via cached sessions; improved sync. Fixed OpenRouter caching and OpenAI tool-call reliability.
Moonshot Kimi K3 support, with Max reasoning mode as default
Added Moonshot Kimi K3 with Max reasoning mode as default.
What people actually say about Big AGI — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
46 mentions across 4 sources (Hacker News, YouTube, GitHub, Lemmy) · researched Aug 11, 2026.
- +Beam runs 2–24 models in parallel with live streaming — a real differentiator.
- +Merge pass fuses responses, turning model disagreement into deeper questions.
- +Day-0 support for new models like GPT-5.6 and Gemini Omni.
- +Zero markup on API costs; you only pay providers directly.
- +Local-first, self-hostable, and offers full data ownership.
- −Browser cache clear can wipe all data without warning.
- −OpenRouter integration sometimes cuts off answers in long chats.
- −MCP support is missing and not on the roadmap.
- −Requires self-managing multiple API keys and rate limits.
- −No turnkey experience; setup is technical and time-consuming.
- • You pay API costs to providers directly — can add up if you beam multiple models
- • Cloud sync may require a paid subscription (details unclear)
- • Self-hosting requires server/bandwidth if you deploy on-prem
Viability Score
How well maintained and how widely used is Big AGI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Beam 2-24 models in parallel with live streaming
- Merge fuses responses with Fuse, Guided, or Compare modes
- Personas with instructions, memory, model, and voice
- Precise model controls: effort, temperature, verbosity, reasoning budget
- AI Inspector shows raw API requests and responses
- Automatic retries and provider timeout handling
- File attachments: PDF, PPT, Word, Excel, images
- Voice input/output and voice calls
- Web browsing and search
- Image generation (GPT image, DALL·E, Nano Banana)
- Code highlighting and execution
- PlantUML and Mermaid diagrams
- Branch and fork chat threads
- Keyboard-first navigation and split-pane view
- PWA mobile support with cloud sync
About Big AGI
Big-AGI is an open-source, local-first AI workspace built for AI experts who need to cross-validate outputs across many language models. Instead of locking you into one provider, it lets you bring your own API keys to connect 30+ AI services—from OpenAI, Anthropic, and Google Gemini to SpaceXAI, Groq, DeepSeek, and local models via Ollama or LM Studio. Its signature Beam feature runs 2–24 models simultaneously, streaming live answers side by side, so you can see where models agree and where they diverge. A Merge pass fuses those responses into one synthesized answer using Fuse, Guided, or Compare modes, turning disagreement into a signal to dig deeper. Big-AGI is packed with controls for power users. Precise model tuning lets you dial effort, temperature, verbosity, and reasoning budget per request or per persona. Personas carry instructions, attached docs, memory, a fixed model, parameters, and voice, making them portable experts you can reuse. The AI Inspector shows the raw API request leaving your browser—model, parameters, tokens, and cost—so nothing is hidden. It also supports file attachments (PDF, PPT, Word, Excel, images), voice calls, web browsing, image generation, and code execution. The interface is keyboard-first and works on mobile as a PWA, with cloud sync for chats and personas when you need it. Recent updates keep Big-AGI on the frontier. The changelog shows day-0 support for new models like DeepSeek V4 Flash 0731, Gemini Robotics-ER 2, Claude Opus 5, and Gemini 3.6 Flash, plus new NVIDIA NIM free models including Nemotron 3 Ultra and DeepSeek V4 Pro. There's also a new Ramble preview for high-quality voice notes with TTS, and the documentation was completely relaunched. With 800+ models, 44 controllable parameters, and 0% markup on API costs, Big-AGI is designed for professionals in high-stakes fields like medicine, law, and research who demand transparency and control. Compared to managed alternatives like ChatGPT or TypingMind, Big-AGI
Behind the Verdict
Big-AGI isn't for everyone, and that's fine. It's a tool for people who treat AI outputs like evidence, not gospel. If you're an ER doctor double-checking clinical decisions or a researcher comparing model reasoning, the Beam feature is a genuine lifesaver. Running 2–24 models in parallel, streaming live, and seeing where they agree or diverge gives you a confidence level no single chatbot can match. The Merge pass—fusing responses into one synthesized answer—turns disagreement into a useful signal to dig deeper, not just noise. When should you pick this? When being wrong is expensive. Big-AGI's site is full of testimonials from physicians and researchers who rely on it daily. The AI Inspector is a standout—it shows the exact API request leaving your browser, including model, parameters, tokens, and cost. That level of transparency is rare. For developers, the 0-day support for new models and 44 controllable parameters mean you're never stuck with an outdated model or a hidden prompt. When should you pass? If you want a simple, managed chatbot with no configuration, Big-AGI will frustrate you. You need to bring your own API keys, manage rate limits, and understand what you're paying for. There's no built-in billing or usage management—that's on you. And if you're on a tight budget, the multi-model costing can add up fast, even with zero markup, because you're paying for every model call. Compared to TypingMind, which also supports multiple models but with a more GUI-driven approach, Big-AGI feels more carefully designed and open-source. It has a steeper learning curve, but the Beam/Merge workflow and the AI Inspector give it an edge for serious cross-validation. In practice, we'd reach for Big-AGI when we need to triple-check a critical answer across models, but
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Real-world workflow fit
Concrete scenarios for the personas Big AGI actually fits — and what changes day-one when you adopt it.
Use Beam to compare responses from 5+ models on a complex clinical case, then Merge for a synthesized decision tree.
Outcome: Confident, cross-validated medical recommendations with reduced error risk.
Set up personas for different model families, each with custom instructions and attached papers, to benchmark outputs.
Outcome: Efficiently evaluate model performance and hallucination rates across providers.
Attach case documents to a persona and run Beam with models known for legal reasoning, then Merge for a comprehensive brief.
Outcome: Thorough legal analysis with citations and multiple perspectives.
Use Cases
- Cross-validate medical decision making by comparing responses from multiple LLMs in parallel.
- Detect hallucinations by running Beam with 5+ models and focusing on disagreements.
- Create expert personas for legal analysis, each with custom instructions and attached case documents.
- Fuse insights from different models into a single coherent answer using Beam Merge.
- Deploy Big-AGI on-premises for secure, air-gapped AI workflows with local models.
- Tune model hyperparameters per request to optimize output for specific tasks.
Models Under the Hood
as of 2026-08-21
Limitations
- The free tier requires you to provide your own API keys and limits Beam to 2 models with daily usage caps.
- Pro tier ($9/month) adds unlimited beam and cloud sync, but you still supply keys—costs scale with usage.
- Context windows depend on underlying models (up to 500k tokens for SpaceXAI Grok 4.5).
- Some features like web search require third-party API keys.
as of 2026-08-11
Verification history
We have re-verified Big AGI 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Big AGI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Solo power users who have their own API keys and want to explore multi-model workflows without subscription commitment.
What this tier adds
Full access to all features, but Beam limited to 2 models and daily usage caps; no cloud sync.
Pro
$9/mo (billed $108/yr)
Ideal for
Professionals who need cloud sync across devices and priority support, with unlimited Beam usage.
What this tier adds
Adds cloud sync for chats and personas, faster startup with cached sessions, and priority support at $9/mo.
Where the pricing makes sense
The company stage and team size where Big AGI's pricing actually pencils out — and where peers do it cheaper.
Big-AGI's pricing is ideal for power users who already have API keys and want zero markup. At $9/mo for Pro with cloud sync, it's cheaper than many managed alternatives, but you pay for API usage on top. For casual users, ChatGPT may be simpler, though pricier at higher usage.
Setup time & first value
How long it actually takes to get something useful out of Big AGI — broken out by persona, not the marketing-page minute.
For a power user with API keys ready, you can be up and running in about 15 minutes. Expect a few hours to fully configure personas and tune parameters to your needs.
Switching to or from Big AGI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ChatGPT: export chats and import them into Big-AGI to preserve history.
- →From TypingMind: similar power-user workflows, but Big-AGI offers more transparency and parallel model support.
- ↗To ChatGPT: export your chats from Big-AGI if you need a simpler managed solution.
- ↗To TypingMind: if you prefer a different UI, but you'll lose multi-model parallelism.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Big AGI
Common stack mates teams adopt alongside Big AGI, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Big Agi vs Spider Cloud
Choose Big AGI if your core need is cross-validating AI outputs from multiple models with fine-grained control and transparency—it's a power user's Swiss Army knife for LLM evaluation. Choose Spider Cloud if you're building AI agents or RAG pipelines that demand fast, reliable web data extraction at scale—it's purpose-built for crawling and scraping. They solve different problems and can complement each other.
Big Agi vs Temporal Ai
Big AGI and Temporal AI solve fundamentally different problems. Big AGI is the best choice for individuals who need to compare and combine outputs from dozens of AI models via its Beam feature, especially with the latest Sonnet 5 support. Temporal AI is essential for teams building production-grade, fault-tolerant AI agents or workflows where durability and recovery matter more than multi-model chat. Choose based on whether your primary need is multi-model reasoning (Big AGI) or reliable workflow orchestration (Temporal AI).
Big Agi vs Voyage Ai
Choose Voyage AI if your priority is domain-tuned retrieval accuracy for enterprise RAG on finance, legal, or code—with long-context and low-dim embeddings. Choose Big-AGI if you need a multi-model power tool to compare, merge, and inspect outputs from dozens of providers (including latest models like Sonnet 5, Gemini Omni, GPT-5.6) in a single workspace. They serve fundamentally different needs: embeddings vs. front-end orchestration.
Alternatives to Big AGI
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