Real head-to-head · same prompt, one shot

Grok vs N2 (Nex-N2-Pro)

Snappy + real-time — the X-native model. vs Free local frontier model — runs in Hermes for $0.

Grok · context256K tokens
N2 (Nex-N2-Pro) · contextTBD
Grok · priceSubscription via X Premium
N2 (Nex-N2-Pro) · priceFree — runs locally inside Hermes
Grok · vendorxAI
N2 (Nex-N2-Pro) · vendorNex AGI

What I tested — same prompt, two models

I run the same fixed prompt set through every new model the day it drops — same string, one shot, single HTML file out — and I score the result 0–10 on whether it ran, how close it hit the brief, and how good it looked. Below is what came out when I gave the exact same prompts to Grok and N2 (Nex-N2-Pro), side by side, on 0 shared tasks inside the Agent Operating System.

Both models were given identical prompts inside the Agent Operating System — no help, no iteration, no "best of N" tricks. I run each prompt once, save the HTML file the model produces, and score it 0–10 on whether it ran, how close it hit the brief, and how good it looked. The scoring is mine. The verdicts below are pulled from my source comparison guides at agentos.guide where I publish every score and the reasoning behind it.

Grok · Used for real-time content workflows where the model needs current X timeline context. Standalone bench scoring pending.

N2 (Nex-N2-Pro) · Wired into Hermes as the free local frontier coder. Dispatched from Agent OS for any task where the per-token bill would dominate.

Side-by-side on 13 shared tasks

Click any cell to play that model's actual one-shot attempt. Medals are derived from my 0–10 scores per task (highest = 🥇, second = 🥈, third = 🥉).

Task ↓
Grok
N2 (Nex-N2-Pro)
Game
🥈Grok on Arcade
— not attempted —
Game
Grok on Crypt
— not attempted —
Game
Grok on Skyrim
— not attempted —
Page
🥇Grok on Landing
— not attempted —
Sim
🥈Grok on Blackhole
— not attempted —
Sim
🥇Grok on Boids
— not attempted —
Sim
🥈Grok on Fluid
— not attempted —
Sim
Grok on Fractal
— not attempted —
Sim
🥈Grok on Galaxy
— not attempted —
Sim
🥈Grok on Orbit
— not attempted —
Visual
🥇Grok on Lavalamp
— not attempted —
Visual
🥈Grok on Synthwave
— not attempted —
Visual
🥈Grok on Voxel
— not attempted —

Strengths & weaknesses I logged

Grok

Strengths

  • Real-time access to X timeline data — unique signal no other model has
  • Snappy latency on shorter prompts
  • 256K context window keeps pace with the open-weights field

Trade-offs

  • 13 demos on the bench but zero have curated 0–10 verdicts yet — currently unranked
  • API access is gated behind X Premium, awkward for backend agent loops

N2 (Nex-N2-Pro)

Strengths

  • Vendor-reported 80.8% on SWE-bench Verified — top of the free open-weights field
  • Runs locally inside Hermes — no token meter, no rate limits
  • Builds two playable 3D games in one-shot per Julian's three-dragons writeup

Trade-offs

  • Vendor-reported benchmark (not independently verified yet)
  • No goldiebench per-task scores yet

Pricing & context — the spec sheet

Spec Grok N2 (Nex-N2-Pro)
VendorxAINex AGI
Context window256,000 tokensSpecs not yet public
PriceSubscription via X PremiumFree — runs locally inside Hermes
Pricing detailBundled with X (Twitter) Premium subscription — no per-token bill for end users, no individual API pricing for the chat product.Nex AGI's flagship N2 (full name Nex-N2-Pro) runs free for individuals inside Hermes on your own Mac. Vendor-reported SWE-bench Verified: 80.8% — the highest published coding score among the free dragons (Kimi K2.6 / GLM / N2).
Release2026-042026-06-12
Bench coverage11/13 scored · avg 8.00/100/0 scored · avg —

The verdict — which should you pick?

Not enough scored shared tasks yet for a head-to-head average. The live demos for both are on the matrix above — play them and form your own opinion.

If you only run one of these inside your stack, the head-to-head average above is the call. If you can run both, my honest play is to wire Grok and N2 (Nex-N2-Pro) both into the Agent Operating System and dispatch each from the kanban by task type — workflows that need live x / twitter context → Grok, local agent loops that need a free frontier-class coder → N2 (Nex-N2-Pro). That's the same setup I run for the 3,600+ founders inside the AI Profit Boardroom.

FAQ — Grok vs N2 (Nex-N2-Pro)

Which is better, Grok or N2 (Nex-N2-Pro)?

On Goldie Bench, Grok averages no scored verdicts yet across the shared tasks, with 3 gold, 7 silver, 0 bronze overall. N2 (Nex-N2-Pro) averages no scored verdicts yet, with 0 gold, 0 silver, 0 bronze. Not enough scored shared tasks yet to call a winner.

How much does Grok cost vs N2 (Nex-N2-Pro)?

Grok: Bundled with X (Twitter) Premium subscription — no per-token bill for end users, no individual API pricing for the chat product. N2 (Nex-N2-Pro): Nex AGI's flagship N2 (full name Nex-N2-Pro) runs free for individuals inside Hermes on your own Mac. Vendor-reported SWE-bench Verified: 80.8% — the highest published coding score among the free dragons (Kimi K2.6 / GLM / N2).

What's the context window for Grok vs N2 (Nex-N2-Pro)?

Grok has a 256,000 tokens context window. N2 (Nex-N2-Pro) has a Specs not yet public context window.

When should I pick Grok over N2 (Nex-N2-Pro)?

Pick Grok for: Workflows that need live X / Twitter context; Snappy prompts where latency matters; Researchers comparing X-native models against the rest of the field. The trade-off is the weaknesses we logged on the bench: 13 demos on the bench but zero have curated 0–10 verdicts yet — currently unranked; API access is gated behind X Premium, awkward for backend agent loops.

When should I pick N2 (Nex-N2-Pro) over Grok?

Pick N2 (Nex-N2-Pro) for: Local agent loops that need a free frontier-class coder; Privacy-sensitive workflows (no cloud round-trip); Operators experimenting with Hermes who want to compare local models against the cloud field. The trade-off is the weaknesses we logged on the bench: Vendor-reported benchmark (not independently verified yet); No goldiebench per-task scores yet.

How does Goldie Bench score Grok vs N2 (Nex-N2-Pro)?

Every demo on this page was built by Julian Goldie inside the Agent Operating System — same fixed prompt for both models, one shot, single HTML file out. Each result gets a 0–10 score on whether it ran, how close it hit the brief, and how good it looked. The highest score on each task gets gold; second gets silver; third gets bronze. See methodology for full provenance.

The same stack Julian uses

Run this stack yourself.

Every demo on this bench was built inside the Agent Operating System — one prompt, one shot, single HTML file out. The Agent OS, the prompts, the templates, the weekly walkthroughs and 3,600+ founders shipping with it every day all live inside the AI Profit Boardroom.

3,600+founders
258documented wins
38countries
$100k+/mocommunity MRR