
GLM-5.2 vs N2 (Nex-N2-Pro)
The never-forgets agent — 1M context, open weights. vs Free local frontier model — runs in Hermes for $0.
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 GLM-5.2 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.
GLM-5.2 · Default model inside Agent OS for any task that touches a long context — codebase Q&A, multi-file refactors, agent memory replay.
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 21 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 = 🥉).
Strengths & weaknesses I logged
GLM-5.2
Strengths
- 1M-token context window — best-in-class long-document and large-codebase work
- Open weights — runs locally, no vendor lock-in, no token meter
- Top of the bench for cinematic visuals (neon city, synthwave, voxel runner)
Trade-offs
- Faceplanted on the Goldie Bench raycaster — the engine was great but it spawned the player inside a wall
- First-shot reliability lags Opus by a hair on consistency
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 | GLM-5.2 | N2 (Nex-N2-Pro) |
|---|---|---|
| Vendor | Zhipu / Z.ai | Nex AGI |
| Context window | 1,000,000 tokens | Specs not yet public |
| Price | Open weights · free for individuals | Free — runs locally inside Hermes |
| Pricing detail | Open-weights release: weights downloadable from Hugging Face for self-hosting, or runnable for free on z.ai for individuals (commercial use has separate licensing). | 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). |
| Release | 2026-06-14 | 2026-06-12 |
| Bench coverage | 13/21 scored · avg 8.23/10 | 0/0 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 GLM-5.2 and N2 (Nex-N2-Pro) both into the Agent Operating System and dispatch each from the kanban by task type — long-context agent loops — pasting a whole codebase into one prompt → GLM-5.2, 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 — GLM-5.2 vs N2 (Nex-N2-Pro)
Which is better, GLM-5.2 or N2 (Nex-N2-Pro)?
On Goldie Bench, GLM-5.2 averages no scored verdicts yet across the shared tasks, with 6 gold, 3 silver, 4 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 GLM-5.2 cost vs N2 (Nex-N2-Pro)?
GLM-5.2: Open-weights release: weights downloadable from Hugging Face for self-hosting, or runnable for free on z.ai for individuals (commercial use has separate licensing). 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 GLM-5.2 vs N2 (Nex-N2-Pro)?
GLM-5.2 has a 1,000,000 tokens context window. N2 (Nex-N2-Pro) has a Specs not yet public context window.
When should I pick GLM-5.2 over N2 (Nex-N2-Pro)?
Pick GLM-5.2 for: Long-context agent loops — pasting a whole codebase into one prompt; Cinematic visual builds — landing pages, voxel scenes, synthwave runners; Anyone who needs to run a frontier coder locally for $0. The trade-off is the weaknesses we logged on the bench: Faceplanted on the {{SITE_NAME}} raycaster — the engine was great but it spawned the player inside a wall; First-shot reliability lags Opus by a hair on consistency.
When should I pick N2 (Nex-N2-Pro) over GLM-5.2?
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 GLM-5.2 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.
Related comparisons
Other head-to-heads using the same scoring system:
GLM-5.2 vs Opus 4.8 N2 (Nex-N2-Pro) vs Opus 4.8 GLM-5.2 vs Grok N2 (Nex-N2-Pro) vs Grok GLM-5.2 vs Qwen 3.7 N2 (Nex-N2-Pro) vs Qwen 3.7 GLM-5.2 vs Kimi K2.7 N2 (Nex-N2-Pro) vs Kimi K2.7Full model pages: GLM-5.2 · N2 (Nex-N2-Pro) · back to the leaderboard
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.
















