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

Opus 4.8 vs North Mini Code

The reasoning king — deepest thinking, premium price. vs Cohere's free coder that beats models 4× its size, runs on your own Mac.

Opus 4.8 · context200K tokens
North Mini Code · contextTBD
Opus 4.8 · price$15 / $75 per M tokens
North Mini Code · priceFree — local
Opus 4.8 · vendorAnthropic
North Mini Code · vendorCohere

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 Opus 4.8 and North Mini Code, 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.

Opus 4.8 · The default when the build has to ship on the first prompt — Opus is the safety net inside Agent OS for hard one-shots.

North Mini Code · Wired into the Agent OS as the local-first coder for offline workflows. Bench scoring pending.

Side-by-side on 17 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 ↓
Opus 4.8
North Mini Code
Game
🥇Opus 4.8 on Arcade
— not attempted —
Game
🥇Opus 4.8 on Doom
— not attempted —
Game
🥈Opus 4.8 on Neoncity
— not attempted —
Game
🥇Opus 4.8 on Outrun
— not attempted —
Game
🥈Opus 4.8 on Raycaster
— not attempted —
Page
🥇Opus 4.8 on Landing
— not attempted —
Sim
🥇Opus 4.8 on Blackhole
— not attempted —
Sim
Opus 4.8 on Cloth
— not attempted —
Sim
🥉Opus 4.8 on Fluid
— not attempted —
Sim
🥈Opus 4.8 on Fractal
— not attempted —
Sim
🥇Opus 4.8 on Galaxy
— not attempted —
Sim
🥇Opus 4.8 on Orbit
— not attempted —
Opus 4.8 on Pathtracer
— not attempted —
Opus 4.8 on Reactiondiff
— not attempted —
Sim
🥇Opus 4.8 on Solar
— not attempted —
Visual
Opus 4.8 on Terrain
— not attempted —
Visual
🥈Opus 4.8 on Voxel
— not attempted —

Strengths & weaknesses I logged

Opus 4.8

Strengths

  • Most consistent across the Goldie Bench bench — no weak build, 8.46/10 average
  • Deepest one-shot reasoning, especially on game-feel and physics
  • Extended thinking mode handles up to 1M tokens of context

Trade-offs

  • 5–10× the per-token cost of every other model on the bench
  • Less flair on cinematic visuals than GLM-5.2 — playing it safer wins on accuracy, costs you on showpiece moments

North Mini Code

Strengths

  • Tiny + fast — runs locally with no GPU farm required
  • Out-scores models 4× its parameter count on agent-coding benchmarks (Cohere's own number)
  • Zero cost — free for individuals, runs offline

Trade-offs

  • Cohere's own number, not independently verified
  • No goldiebench per-task scores yet

Pricing & context — the spec sheet

Spec Opus 4.8 North Mini Code
VendorAnthropicCohere
Context window200,000 tokens (1M with extended thinking)Specs not yet public
Price$15 / $75 per M tokensFree — local
Pricing detailPremium pricing via the Anthropic API: $15 per million input tokens, $75 per million output tokens. Extended thinking is included but adds latency.Cohere's free coding model — small parameter count, runs locally, designed to out-punch models four times its size on agent-coding benchmarks. No token bill, no API key required.
Release2026-052026-06-19
Bench coverage13/17 scored · avg 8.46/100/0 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 Opus 4.8 and North Mini Code both into the Agent Operating System and dispatch each from the kanban by task type — mission-critical one-shot builds where 'has to work the first time' matters → Opus 4.8, local coding loops on a mac where you don't want a token meter → North Mini Code. That's the same setup I run for the 3,600+ founders inside the AI Profit Boardroom.

FAQ — Opus 4.8 vs North Mini Code

Which is better, Opus 4.8 or North Mini Code?

On Goldie Bench, Opus 4.8 averages no scored verdicts yet across the shared tasks, with 8 gold, 4 silver, 1 bronze overall. North Mini Code 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 Opus 4.8 cost vs North Mini Code?

Opus 4.8: Premium pricing via the Anthropic API: $15 per million input tokens, $75 per million output tokens. Extended thinking is included but adds latency. North Mini Code: Cohere's free coding model — small parameter count, runs locally, designed to out-punch models four times its size on agent-coding benchmarks. No token bill, no API key required.

What's the context window for Opus 4.8 vs North Mini Code?

Opus 4.8 has a 200,000 tokens (1M with extended thinking) context window. North Mini Code has a Specs not yet public context window.

When should I pick Opus 4.8 over North Mini Code?

Pick Opus 4.8 for: Mission-critical one-shot builds where 'has to work the first time' matters; Hard reasoning tasks (planning, multi-step) where you'll pay for the depth; Anything where vendor reliability beats the per-token bill. The trade-off is the weaknesses we logged on the bench: 5–10× the per-token cost of every other model on the bench; Less flair on cinematic visuals than GLM-5.2 — playing it safer wins on accuracy, costs you on showpiece moments.

When should I pick North Mini Code over Opus 4.8?

Pick North Mini Code for: Local coding loops on a Mac where you don't want a token meter; Offline / air-gapped agent workflows; Operators who want to compare a small-but-mighty model against the larger field. The trade-off is the weaknesses we logged on the bench: Cohere's own number, not independently verified; No goldiebench per-task scores yet.

How does Goldie Bench score Opus 4.8 vs North Mini Code?

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