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Sup AI alternative · Updated June 2026

Suprmind, the Sup AI alternative

// Most verification tools stop at the answer. Suprmind keeps going.

Whether you are switching from Sup AI or just comparing your options, here is what sets the two apart. Sup AI has frontier models cross-check your question in parallel, with grounded answers, citations and project memory.

Suprmind takes the same models and makes them debate, challenge and build on each other – then hands you a board-ready decision, not just a verified answer. The multi-AI chat you know is the baseline. Six orchestration modes, a validation verdict and a one-click report are what you get on top.

No credit card required · Plans start at $19/mo
Suprmind orchestrates five frontier models
ChatGPT
Claude
Gemini
Grok
Perplexity

// The quick verdict

Frontier models

0

ChatGPT, Claude, Gemini, Grok, Perplexity, curated and all in. Sup AI lists a 348-model library, up to 9 per query.

Curated frontier

Modes

0

Sequential, Super Mind, Debate, Red Team, First Principles, Research Symphony.

Built for decisions

Entry price

$0/mo

Suprmind Spark is $19/mo. Sup AI Plus is $20/mo, so you pay about the same and get six orchestration modes and the decision layer on top.

About the same price

Decision tooling

Built in

Decision Validation Engine, Adjudicator, Red Team and a full risk register.

Suprmind only

// See it for yourself

Watch five AIs work one question. Press play.

A 90-second run with all five models in one conversation. It opens like the multi-AI chat you know, then Sequential, Debate and Red Team push the question past a single answer.


// What overlaps, what doesn’t

The overlap is real. The difference is the point.

If you already run multi-model chats, the shared column will look familiar. Treat it as the starting line, not the finish. What should decide your choice is the middle column – the part only Suprmind adds.

Both do this

  • Multiple frontier models verify each query
  • Cross-model checking before an answer ships
  • Document upload with grounded answers
  • Native web search
  • Inline citations you can verify
  • Project workspaces with persistent memory
  • Mobile and desktop access

Only Suprmind

  • Sequential mode that builds on prior answers
  • Red Team, 4 attack vectors plus mitigation
  • First Principles reframing
  • Decision Validation Engine and risk register
  • Adjudicator decision briefs
  • Master Document Generator, 25+ templates
  • Knowledge Graph and Master Project
  • @mention orchestration and mode chaining

Only Sup AI

  • 348-model library across 50+ providers
  • Up to 9 models in a parallel ensemble
  • Chunk-level confidence scoring with retry
  • Published HLE benchmark and an OpenAI-compatible API

If raw catalog breadth, chunk-level accuracy scoring or API access are central to your day, Sup AI earns its place. Keep both – they sit side by side.

// The full comparison

Feature by feature

Filter to what matters instead of scrolling. Everything here is verifiable in both products. This is the detail that decides whether Suprmind is the right alternative to Sup AI for you.





Feature
Sup AI
Suprmind

// Shared capabilities
Multi-model architecture
348 models, up to 9 parallel
5 frontier models, all together

Cross-model verification
Chunk-level logprob scoring
DCI tracking and Adjudicator

Document upload
Up to 10 GB
5 to 150 files per project by tier

Web search
Yes
Native on every model

Inline citations
With page numbers
Source-attributed synthesis

Project workspaces and memory
Perfect Memory, persistent files
Projects plus auto Knowledge Graph

// Suprmind adds
Sequential mode
None
Each model reads prior and builds

Debate mode
Confidence thresholds only
Oxford, Parliamentary, Lincoln-Douglas

Red Team mode
None
4 attack vectors plus mitigation

First Principles mode
None
Strip assumptions, rebuild

Decision Validation Engine
None
6-stage GO / NO-GO, risk register

Adjudicator decision briefs
None
Independent synthesis of full thread

Master Document Generator
Chat output and citations
25+ templates, PDF / DOCX / MD

Smart Visualizations
None
Interactive charts auto-embedded

@mention orchestration and chaining
None
Direct conductor control across modes

// Sup AI advantages
Model library size
348 models, 50+ providers
5 frontier models, curated

Published benchmark
HLE 52.15%, self-evaluated
No public benchmark published

Chunk-level confidence scoring
Logprob retry on low confidence
Different approach, DCI plus Adjudicator

Document upload volume
10 GB
5 to 150 files, max 9 MB per file

OpenAI-compatible API
api.sup.ai
Web and PWA only currently

// Pricing
Free tier
$10 starter credits, 32 free models
7-day free trial

Entry tier
$20/mo Plus, $26 credits
$19/mo Spark

Mid tier
$100/mo Pro, $130 credits
$45/mo Pro

Top consumer tier
$200/mo Super, $260 credits
$95/mo Frontier

Enterprise
Not publicly disclosed
Custom per-seat

// Beyond the verified answer

Six ways five AIs can work your question

Different problems need different orchestration. Switch modes mid-conversation without losing context. This is what makes Suprmind a multi-AI orchestration platform rather than a model switcher.

// The price question

Different math at different volumes

Sup AI sells credit packs that you burn per query. Suprmind ships four flat tiers, so you pay for exactly the depth you need with no per-query math.

Sup AIcredit packs
Plus$26 in credits$20/mo
Pro$130 in credits$100/mo
Super$260 in credits$200/mo

Suprmind4 tiers, start at $19
Spark
$19
2 AI Teams with 4 models each, Sequential, Super Mind
Pro
$45
All 6 modes, DCI, Master Doc
Frontier
$95
Master Project, max tokens
Enterprise
Custom
Teams, SSO, audit logs

Light multi-model use. Spark is $19/mo, about the price of Sup AI’s $20 Plus, but with five frontier models and the decision layer instead of credit packs. Analytical work like memos, briefs and decision validation – Suprmind Pro at $45 sits well under Sup AI’s $100 Pro and adds the entire decision layer credit packs do not offer. Sporadic factual lookups? Sup AI’s free tier, with 32 free models and $10 starter credits, is genuinely useful.

// The right fit

Who should choose which

Suprmind is not the right alternative to Sup AI for everyone. Here is the honest split.

Choose Sup AI if

  • Pure single-question accuracy on discrete factual lookups is your primary requirement
  • You integrate multi-model accuracy via the OpenAI-compatible API rather than a UI
  • Your usage is sporadic, so credit-pack pricing beats a flat subscription
  • A published benchmark like HLE matters as a procurement signal for your stakeholders
  • You need non-frontier specialty models from a 348-model library
  • Your work product is a verified answer, not a deliverable document

Choose Suprmind if

  • Your work produces deliverables, memos, briefs, reports and recommendations
  • Decisions carry consequences and need Red Team, First Principles and a validation verdict
  • You want cross-thread project memory and a Knowledge Graph that accelerate research
  • Mode chaining matters, like Sequential to Red Team to Adjudicator on one question
  • Spark at $19/mo gives you five frontier models and the decision layer for about what Sup AI’s $20 Plus costs, with no per-query credit math

// Frequently asked

Sup AI vs Suprmind

Is Suprmind a good alternative to Sup AI?
Yes, for most multi-AI work. Suprmind runs the same frontier models, then adds six orchestration modes, a decision validation verdict and one-click deliverables that a side-by-side chat tool does not. If your work ends in a decision or a document, it is built for exactly that.
Does Suprmind do everything Sup AI does on accuracy?
On the shared ground, yes – Suprmind’s five frontier models (ChatGPT, Claude, Gemini, Grok, Perplexity Sonar) cross-check the same way Sup AI’s parallel ensemble does. Sup AI uses chunk-level logprob scoring, Suprmind uses DCI tracking plus Adjudicator review. The one place Sup AI leads is raw catalog and a published HLE benchmark, which Suprmind has not published. The differences come after the verified answer, not before it.
Does Suprmind have more models than Sup AI?
No, and that is deliberate. Sup AI advertises a 348-model library from 50+ providers, with up to 9 running in parallel. Suprmind runs five frontier models and invests in orchestrating them rather than maximising the count. The trade-off is breadth versus sustained collaboration, where each frontier model reads what the others said and builds on it.
Is Suprmind cheaper than Sup AI?
At the entry level the two are about the same price. Spark is $19/mo against Sup AI’s $20 Plus, so for similar money you get five frontier models plus the decision layer instead of credit packs. Sup AI is credit-based, $20 gets $26 in credits, $100 gets $130, $200 gets $260, and credits are consumed per query. Suprmind is flat, $19, $45 and $95. For sporadic use Sup AI’s free tier is hard to beat. For steady work producing several deliverables a week, Suprmind’s flat rate usually wins.
What can Suprmind do that Sup AI cannot?
Sequential mode, Debate, Red Team and First Principles, plus the Decision Validation Engine, the Adjudicator, the Master Document Generator with 25+ templates, Smart Visualizations, Project Knowledge Graph, Master Project and @mention mode chaining. Sup AI does single-pass ensemble accuracy and keeps the surface focused on that.
What does Sup AI do better than Suprmind?
Three things. Catalog size, Sup AI lists 348 models against Suprmind’s curated five. A published benchmark, its self-conducted HLE result of 52.15% on roughly 55% of the question set, with caveats. And an OpenAI-compatible API at api.sup.ai, where Suprmind is web and PWA only for now. If those are your priorities, Sup AI is a strong pick.
Can I move my Sup AI workflow to Suprmind?
Yes. Anything you do in Sup AI, multi-model verification, document upload with citations, web search and Q and A, maps onto Suprmind without changes to your workflow. Re-upload your documents into Suprmind’s Project workspaces and your usage pattern carries over. The orchestration modes are optional additions, not required steps, and most users start with Super Mind, which is closest to Sup AI’s ensemble.
Can I use both Sup AI and Suprmind together?
Yes, they can complement each other. A workflow might use Sup AI’s API for high-accuracy fact retrieval on specific lookups, then run the findings through Suprmind for structured deliberation, document generation and decision validation. Most people find Suprmind’s web search and citation grounding cover their factual needs natively, but for cases where benchmark-grade accuracy on a discrete question matters most, Sup AI is a defensible second tool in the stack.

The Sup AI alternative that doesn’t stop at the answer

Five frontier AIs in the same conversation. They debate, challenge and build on each other, then you export the verdict as a deliverable.

Disagreement is the feature.

No credit card required · Plans start at $19/mo