Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
16.4k
Stars
1.7k
Forks
269
Open issues
30
Contributors
AI Analysis
ChatALL is a desktop application that lets users query multiple large language models (ChatGPT, Claude, Bard, ChatGLM, and others) concurrently and compare their responses side-by-side. It serves researchers, LLM developers, and power users who want to evaluate model strengths across different tasks rather than testing them sequentially. This tool is specialized for LLM comparison workflows and is not a general-purpose chat application.
Inferred from signals mentioned in the README (tests, CI, type safety) — not a review of the actual code.
AI's overall editorial judgment — not an average of the bars above, can weigh other factors too.
ChatALL lets users query a dozen AI models simultaneously and compare responses side-by-side
ChatALL is a desktop application (Electron/JavaScript) that sends a single prompt to multiple LLM services concurrently — including ChatGPT, Claude, Gemini, Copilot, and several Chinese-market models — and displays all responses side-by-side. Its primary audience is LLM researchers, prompt engineers, and power users who want to evaluate model quality across providers without manually switching tabs. It is particularly relevant in the Chinese AI ecosystem, given its breadth of Chinese model integrations. With 16,400+ stars and multilingual documentation across nine languages, it has meaningful but plateauing visibility in the AI tooling space.
Created in April 2023, shortly after ChatGPT's mass adoption wave, when comparing multiple AI models required tedious manual effort. It grew rapidly in its first months as model proliferation made comparison increasingly valuable.
Growth was driven by the 2023 LLM boom and early-mover positioning as a multi-model comparison tool. Stars accumulated quickly in mid-2023 but have slowed substantially — only 1 star gained in the past 7 days as of the evaluation date, indicating the viral phase has passed and the project has settled into a niche utility role.
16,400+ GitHub stars and availability in nine languages suggest meaningful global downloads, particularly in Chinese-speaking markets. No verifiable data on active install counts, daily active users, or organizational adoption is available in the README. Adoption not verified at production/enterprise scale.
Appears to be an Electron desktop application built in JavaScript, likely using Vue.js or a similar frontend framework based on the 'src/assets' path structure in the README. Bot integrations appear to use a mix of official APIs and web scraping/browser automation for services without public APIs, which is a fragile but pragmatic design choice.
not documented in README
Last push was February 11, 2026 — approximately 4.5 months before the evaluation date. This suggests reduced but not fully abandoned activity. The project does not appear to be receiving weekly updates, but it is not stale either. The gap may reflect feature completeness or reduced contributor energy.
ADOPT IF: you regularly need to compare answers across 5+ LLMs in a single workflow, especially if you work with Chinese-market models not easily accessible through Western multi-model tools. AVOID IF: you need enterprise reliability — web-scraping-based integrations will break as providers update their interfaces, and there is no documented SLA or organizational support structure. MONITOR IF: you are tracking the multi-model evaluation tooling space and want to see whether the project regains update velocity or stagnates further in late 2026.
Independent dimensions
Mainstream potential
3/10
Technical importance
6/10
Adoption evidence
4/10
- Web-scraping integrations for bots without official APIs are inherently brittle and break whenever providers update their frontends, creating ongoing maintenance burden.
- Growth has effectively stalled (1 star in 7 days), suggesting the project may be in long-term decline or maintenance-only mode rather than active development.
- The LLM aggregator category is increasingly addressed by hosted services (e.g., Nat.dev, TypingMind, etc.) that may offer more stable integrations than a desktop app relying on browser sessions.
- Several listed integrations are marked 'Coming soon' or rely on login sessions, which may degrade user experience unpredictably as providers tighten bot access.
- No organizational or commercial backing is evident, making long-term maintenance dependent on volunteer contributor energy.
ChatALL will likely remain a useful niche tool for LLM researchers and power users but is unlikely to regain viral growth. Maintenance will probably continue sporadically, with integrations occasionally breaking and being fixed by community contributors.
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Languages
Information
- Website
- https://chatall.ai
- Language
- JavaScript
- License
- Apache-2.0
- Last updated
- 5mo ago
- Created
- 40mo ago
- Analyzed with
- anthropic/claude-haiku-4-5
Stars over time
Contributors over time
Top 100 contributors only — repos with more will plateau at 100.
Open issues
Top contributors
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NextChat (88k stars) focuses on a polished single-model chat UI with self-hosting support. It does not natively compare multiple models simultaneously. Different use case: interface quality vs. multi-model comparison.
LibreChat (39k stars) supports multiple providers but presents them sequentially in conversations, not concurrently in parallel. More focused on being a unified ChatGPT-compatible interface than a side-by-side evaluator.
Chatbox (40k stars) is also a desktop AI client but focused on a single conversation thread with provider switching. Does not offer concurrent multi-model querying.
aichat (10k stars) is a CLI tool supporting multiple backends but targets developers comfortable in terminal environments. ChatALL targets a broader, GUI-preferring audience.
ChuanhuChatGPT (15k stars) is a Gradio web UI for single-model chat, primarily targeting Chinese users. Overlaps in audience but not in the multi-model concurrent comparison feature.
