Best vs Best (Versus)may the best win.

Versus is the arena for AI models. Fire one prompt at 2 to 36 frontier models at once - GPT 6.1 Sol, Claude Opus 5, Gemini 3.8 Flash, Grok 4.7 & more - watch every answer stream side by side, and let real latency & quality crown the winner. No tab-hopping. No guesswork. No API keys.

+31

36 models · <300ms first token · 11 providers

✓No API key needed✓Free to try✓Side-by-side streaming✓2–36 models at once
Versus
Best vs Best
6 of 36
Compare
Picking 6 random contenders…
GPT 6.1 SolClaude Opus 5Gemini 3.8 FlashGrok 4.7DeepSeek V4 ProKimi K2.6
Composing your prompt…
Opening 6 concurrent SSE streams
36 Models in the arena
GPT 6.1 SolGPT 6.1 Sol
GPT 6 LunaGPT 6 Luna
GPT 6 AstraGPT 6 Astra
GPT 5.4 ProGPT 5.4 Pro
GPT 5.3 CodexGPT 5.3 Codex
GPT 5.4 MiniGPT 5.4 Mini
Claude Opus 5Claude Opus 5
Claude Opus 4.8Claude Opus 4.8
Claude Opus 4.7Claude Opus 4.7
Claude Opus 4.6Claude Opus 4.6
Claude Opus 4.5Claude Opus 4.5
Claude Sonnet 4.6Claude Sonnet 4.6
Claude Haiku 5.5Claude Haiku 5.5
Claude Opus 4.1Claude Opus 4.1
Claude Sonnet 4.5Claude Sonnet 4.5
Gemini 3.8 FlashGemini 3.8 Flash
Gemini 3.6 FlashGemini 3.6 Flash
Gemini 3.1 ProGemini 3.1 Pro
Gemini 3Gemini 3
Google Gemma 3Google Gemma 3
Grok 4.7Grok 4.7
Grok 4.3Grok 4.3
Grok 4.2 ReasoningGrok 4.2 Reasoning
Grok 4.2 Non-ReasoningGrok 4.2 Non-Reasoning
DeepSeek V4 ProDeepSeek V4 Pro
DeepSeek V4 FlashDeepSeek V4 Flash
Kimi K2.6Kimi K2.6
Kimi K2.5Kimi K2.5
LLaMA 4 MaverickLLaMA 4 Maverick
Mistral 3Mistral 3
Qwen3Qwen3
MiniMax M2MiniMax M2
NVIDIA Nemotron NanoNVIDIA Nemotron Nano
GPT 6.1 SolGPT 6.1 Sol
GPT 6 LunaGPT 6 Luna
GPT 6 AstraGPT 6 Astra
GPT 5.4 ProGPT 5.4 Pro
GPT 5.3 CodexGPT 5.3 Codex
GPT 5.4 MiniGPT 5.4 Mini
Claude Opus 5Claude Opus 5
Claude Opus 4.8Claude Opus 4.8
Claude Opus 4.7Claude Opus 4.7
Claude Opus 4.6Claude Opus 4.6
Claude Opus 4.5Claude Opus 4.5
Claude Sonnet 4.6Claude Sonnet 4.6
Claude Haiku 5.5Claude Haiku 5.5
Claude Opus 4.1Claude Opus 4.1
Claude Sonnet 4.5Claude Sonnet 4.5
Gemini 3.8 FlashGemini 3.8 Flash
Gemini 3.6 FlashGemini 3.6 Flash
Gemini 3.1 ProGemini 3.1 Pro
Gemini 3Gemini 3
Google Gemma 3Google Gemma 3
Grok 4.7Grok 4.7
Grok 4.3Grok 4.3
Grok 4.2 ReasoningGrok 4.2 Reasoning
Grok 4.2 Non-ReasoningGrok 4.2 Non-Reasoning
DeepSeek V4 ProDeepSeek V4 Pro
DeepSeek V4 FlashDeepSeek V4 Flash
Kimi K2.6Kimi K2.6
Kimi K2.5Kimi K2.5
LLaMA 4 MaverickLLaMA 4 Maverick
Mistral 3Mistral 3
Qwen3Qwen3
MiniMax M2MiniMax M2
NVIDIA Nemotron NanoNVIDIA Nemotron Nano
Under the Hood · Multi-LLM · Live

One prompt, every model - one Multi-LLM pipeline.

Auth, a shared 3-layer RAG pass, parallel dispatch across dual channels, and side-by-side SSE streaming - the exact engine that runs every Versus comparison, live on infinite loop.

Dispatching request…
6 of 36 in parallel
Latency
routing
Models
-
Tokens
-
01

Your Query

One prompt → CloudFront CDN → the comparison engine.

02

Auth & Rate-Limit

6 Passport strategies + Redis rate-limit (3 AI/12h), in-memory fallback.

03

3-Layer Hybrid RAG

ChromaDB vector search · 14 chunks retrieved in <1s.

04

Parallel Dispatch

Phase 2: Promise.all fans the grounded prompt to all selected models.

05

Dual-Channel Inference

Channel 1 (Azure AI Foundry) + Channel 2 (AWS Bedrock) - zero-downtime fallback.

06

SSE Comparator

modelId-tagged chunks (2–8 chars, ±3ms jitter) stream back side by side.

Versus
6 of 36 · streaming live
live

How do you keep every model grounded in the same context?

Dispatching to 6 models...
2–36 modelsAsk all of them at once…
Benchmarked. Not Guessed.

Numbers from a stack built to run every model at once.

Versus isn't a weekend project. It's the same orchestration engine that benchmarks 36 frontier models in parallel for hundreds of thousands of users.

0
frontier models
in one arena, side by side
0+
streaming endpoints
concurrent SSE per query
<0ms
first-token latency
measured across every model
0M+
tokens benchmarked
in side-by-side comparison
0K+
daily API calls
sustained in production
0%
fewer hallucinations
via a shared 3-layer RAG pass
Core Capabilities

Not a chatbot. A model arena.

Everything you need to put frontier models head to head - and walk away knowing which one actually won.

Side-by-side Streaming

Every selected model answers the same prompt at once, each in its own column - read them form in real time, no tab-hopping.

Design a fault-tolerant multi-LLM router.8 models
GPT 6.1 Sol
streaming…
Claude Opus 5
streaming…
Gemini 3.8 Flash
streaming…
Grok 4.7
streaming…
DeepSeek V4 Pro
streaming…
Kimi K2.6
streaming…
LLaMA 4 Maverick
streaming…
Mistral 3
streaming…

2–36 Models at Once

Pick a focused pair or a full panel from 36 frontier models.

2 of 36 selectedready
GPT 6.1 Sol
Claude Opus 5
Gemini 3.8 Flash
Grok 4.7
DeepSeek V4 Pro

Latency Benchmarks

First-token and full-response timing per model - see who's fastest, live.

GPT 6.1 Sol210ms
Claude Opus 5240ms
Gemini 3.8 Flash310ms

Crown the Winner

Quality and speed surfaced together so you pick the best answer - not the loudest one.

1GPT 6.1 Sol0.21s
2Claude Opus 50.24s
3Gemini 3.8 Flash0.31s

Grounded & Fair

One shared 3-layer RAG pass over 10M+ embeddings grounds every model in identical context.

Shared context · 10M+ embeddings
identical grounding → every model

Swap & Re-run Instantly

Change contenders mid-thread and fire the same prompt again - the comparison keeps its context.

GPT 6.1 Sol
Claude Opus 5
Gemini 3.8 Flash
Grok 4.7
re-run
Under the hood

How Versus runs a model battle.

One question, every model you picked, all streaming at once. Click any step to see what runs there and where it lives in the code.

Live Demo

See Versus in action

Real-time multi-model AI orchestration. Watch Versus run one prompt across 36 frontier models, side by side, with full context awareness.

Live comparison · 36 models · 11 providers

Every top AI model. One arena.

No switching tools. No API keys. Compare any two models side by side - watch the router dispatch across all 33+ in real time.

Google
Google
5 models available
comparing
Gemini 3.8 Flash
Gemini 3.6 Flash
Gemini 3.1 Pro
Gemini 3
Google Gemma 3
versus-router ~ live dispatchlive
$versus.compare(prompt)
GPT 6.1 Sol
GPT 6 Luna
GPT 6 Astra
GPT 5.4 Pro
GPT 5.3 Codex
GPT 5.4 Mini
Claude Opus 5
Claude Opus 4.8
Claude Opus 4.7
Claude Opus 4.6
Claude Opus 4.5
Claude Sonnet 4.6
Claude Haiku 5.5
Claude Opus 4.1
Claude Sonnet 4.5
Gemini 3.8 Flash
Gemini 3.6 Flash
GPT 6.1 Sol
GPT 6 Luna
GPT 6 Astra
GPT 5.4 Pro
GPT 5.3 Codex
GPT 5.4 Mini
Claude Opus 5
Claude Opus 4.8
Claude Opus 4.7
Claude Opus 4.6
Claude Opus 4.5
Claude Sonnet 4.6
Claude Haiku 5.5
Claude Opus 4.1
Claude Sonnet 4.5
Gemini 3.8 Flash
Gemini 3.6 Flash
Gemini 3.1 Pro
Gemini 3
Google Gemma 3
Grok 4.7
Grok 4.3
Grok 4.2 Reasoning
Grok 4.2 Non-Reasoning
DeepSeek V4 Pro
DeepSeek V4 Flash
Kimi K2.6
Kimi K2.5
LLaMA 4 Maverick
Mistral 3
Qwen3
MiniMax M2
NVIDIA Nemotron Nano
Gemini 3.1 Pro
Gemini 3
Google Gemma 3
Grok 4.7
Grok 4.3
Grok 4.2 Reasoning
Grok 4.2 Non-Reasoning
DeepSeek V4 Pro
DeepSeek V4 Flash
Kimi K2.6
Kimi K2.5
LLaMA 4 Maverick
Mistral 3
Qwen3
MiniMax M2
NVIDIA Nemotron Nano

Why Versus?

A single chatbot gives you one opinion. Versus runs your prompt across 36 models from 11 providers at once - side by side, grounded in identical context, and benchmarked so the best answer wins.

Feature
Versus11 providers
ChatGPTOpenAI
ClaudeAnthropic
GeminiGoogle
Compare 2–36 models at once
Side-by-side answer columns
Same prompt → every model in parallel
Per-model latency benchmarks
Cross-provider model panel
Crown-the-winner verdict
Swap contenders & re-run instantly
RAG-grounded identical context
Real-time token streaming
Multi-model in a single thread
The Man Behind It

Tier 3 college. No network.
Founding Engineer & AI Architect.

Hey - I'm Prince Singh. I came from a Tier 3 college with no senior, no network, no roadmap. Just raw hunger to figure it out.

I cracked remote SDE roles not because I was the smartest in the room, but because I built the right systems, followed the right patterns, and never stopped shipping.

Today I architect production AI at a Founding Engineer level - Agentic pipelines, RAG retrieval, MCP, and multi-model orchestration across 36 models, powering products that reach 600K+ users.

Arx is that same engineering, turned into something you can actually talk to. And everything I learn, I teach - for free, to 40K+ engineers.

Prince Singh - AI Architect & Mentor

0K+

Users Reached

0K+

Mentored

0.0/5

Rating

AI Architect
Founding Engineer
Versus is Live Now

Ready to make every modelcompete for the win?

Fire one prompt at 36 frontier models, watch them go head to head, and crown the winner - no tab-hopping, no guesswork.

✓No API key needed✓Free to try✓Side-by-side streaming✓2–36 models at once
Versus | Best vs Best - Compare 36 AI Models Side by Side