Poe
Quora's multi-model AI aggregator — chat with GPT, Claude, Gemini, and thousands of bots under one subscription
One subscription that routes to 100+ frontier models plus image, video, and the DeepAgent autonomous agent
Abacus.AI's consumer product, ChatLLM Teams, bundles 100+ frontier models — GPT-5.6, Claude Opus 4.8, Gemini 3.1 Pro — plus image and video generation and the DeepAgent autonomous agent under one subscription. Basic runs $10/user/month with 20,000 credits; Pro is $20/month with unrestricted agent use. The credit system is opaque, but the bundle can undercut buying each frontier tool separately.
Abacus.AI runs two very different products under one brand. On the consumer and prosumer side is ChatLLM Teams, a single subscription that routes to 100+ frontier models — GPT-5.6, Claude Opus 4.8 and Sonnet, Gemini 3.1 Pro, Grok, DeepSeek, Kimi, and open-source options — alongside 15+ image and 15+ video generation models, custom chatbots, text-to-speech, and document and presentation generation. Paired with it is DeepAgent, an autonomous agent that takes on multi-step jobs like research synthesis, code review, app building, browser automation, and business-process automation. The pitch is bundle economics: instead of paying separately for a chat tool, an image generator, a video model, and an agent, you get all of them metered against a shared pool of compute credits.
The other half of the company is an enterprise MLOps/LLMOps platform aimed at data and engineering teams. That side covers structured machine learning — predictive modeling, personalization, forecasting, and anomaly detection — plus generative AI deployment, an API, and enterprise-grade security and permissions. Enterprise pricing is custom and quoted through a sales demo rather than the flat self-serve tiers. For most individual users, the relevant surface is ChatLLM Teams and DeepAgent; the enterprise platform is a separate, heavier commitment. Compare the multi-model routing approach against dedicated aggregators like Poe and OpenRouter, or against single-vendor assistants such as ChatGPT and Claude.
Abacus.AI’s consumer bundle suits people who want breadth — many models and media types from one login — more than the deepest single-model experience. The flat monthly seat is a strong deal if you would otherwise juggle several subscriptions, but the opaque credit system means heavy or unpredictable workloads are harder to budget than fixed per-message plans.
Starting price: $10/mo · Free tier: no · Model: paid
Price history tracked from June 2026
| Plan | Price | Includes |
|---|---|---|
| Basic | $10/mo | 20,000 compute credits per month · Access to 100+ top LLMs and image/video generators · 3 AI Agent (DeepAgent) conversations per month · Vibe Code app building and desktop/CLI assistant · First month discounted to $7 |
| Pro | $20/mo | 30,000 compute credits per month · Unrestricted AI Agent (DeepAgent) use · Unrestricted coding agent and CLI access · All frontier LLMs plus video and image generators · Most popular self-serve tier |
| Enterprise | Custom | End-to-end AI platform with structured ML and forecasting · Predictive modeling, personalization, and anomaly detection · Enterprise-grade security and permissions · Custom credit volumes and dedicated support · Quote via sales demo request |
| Pros | Cons |
|---|---|
| One flat monthly seat replaces separate subscriptions to multiple frontier chat, image, and video tools | The credit/compute-point system is opaque — Abacus does not publish how many credits a given task consumes, so costs are hard to predict |
| Access to the newest frontier models (Claude Opus 4.8, GPT-5.6, Gemini 3.1 Pro) without managing individual API keys | For pure coding it wraps third-party models rather than matching a dedicated coding tool; Claude and Claude Code rank above it on code quality |
| Starting price undercuts buying each model provider's own plan; the first month is discounted | The Basic tier caps the autonomous agent at only 3 conversations per month |
| Pro tier unlocks unrestricted DeepAgent and coding-agent use | No persistent free tier — only a discounted first month |
Quora's multi-model AI aggregator — chat with GPT, Claude, Gemini, and thousands of bots under one subscription
Unified API to 400+ LLMs from 70+ providers through one OpenAI-compatible endpoint, with automatic failover and pass-through token pricing
Conversational AI assistant by OpenAI with multimodal reasoning, voice, and agent capabilities
Google's multimodal AI assistant with real-time Search access and deep Workspace integration
Anthropic's AI assistant built for long-context analysis, coding, and safe reasoning
Autonomous general AI agent that plans and executes multi-step tasks end-to-end in the cloud
ChatLLM Teams has two self-serve tiers: Basic at $10/user/month with 20,000 monthly credits, and Pro at $20/user/month with 30,000 credits and unrestricted agent use. The first month of Basic is discounted to $7. Enterprise pricing is custom via a sales demo.
The platform routes to 100+ models under one subscription, including GPT-5.6, Claude Opus 4.8 and Sonnet, Gemini 3.1 Pro, Grok, DeepSeek, Kimi, GLM, and open-source options, plus 15+ image and 15+ video generation models.
DeepAgent is Abacus.AI's autonomous agent. It can handle multi-step tasks such as research synthesis, code review, app development, browser automation, and business-process automation. It is limited to 3 conversations per month on Basic and is unrestricted on Pro.
There is no persistent free tier for ChatLLM Teams. New users get a promotional first month of the Basic plan at a discounted rate, after which it bills at the standard monthly price.
Both plans access the same frontier models and generators. Basic includes 20,000 credits and only 3 agent conversations per month. Pro doubles down with 30,000 credits and unrestricted DeepAgent, coding-agent, and CLI use for power users.
It offers a coding agent and CLI access on the Pro tier, wrapping frontier models for code generation. It is convenient inside the bundle, but for dedicated coding work Claude and Claude Code produce higher-quality results.
Credits (compute points) meter usage across all models and tasks. Abacus states these are not tokens, and it does not publish exact credit costs per model because rates change, which makes budgeting less predictable than fixed per-message limits.