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

Claude Fable 5 vs North Mini Code

The newest Anthropic model — first Mythos-class made generally available. vs Cohere's free coder that beats models 4× its size, runs on your own Mac.

Claude Fable 5 · context200K tokens
North Mini Code · contextTBD
Claude Fable 5 · priceAnthropic API pricing
North Mini Code · priceFree — local
Claude Fable 5 · 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 Claude Fable 5 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.

Claude Fable 5 · Selected from Agent OS for the highest-stakes one-shot work — replacing Opus 4.8 as the safety net on hard prompts. Bench scoring pending.

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

Side-by-side on 0 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 ↓
Claude Fable 5
North Mini Code

Strengths & weaknesses I logged

Claude Fable 5

Strengths

  • Anthropic's most capable publicly-available model — vendor claim: 'capabilities exceed those of any model we've ever made generally available'
  • Tops external SWE-bench Verified at 95.0% in Julian's three-dragons writeup
  • Top-tier plan quality (9.1/10) on Kilo's plan-vs-build rubric

Trade-offs

  • No goldiebench per-task scores yet — bench rank pending a published head-to-head guide
  • Premium pricing; Fusion premium panel reportedly out-scores it at half the API cost

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 Claude Fable 5 North Mini Code
VendorAnthropicCohere
Context window200,000 tokens (1M with extended thinking)Specs not yet public
PriceAnthropic API pricingFree — local
Pricing detailReleased alongside Mythos 5 on June 9, 2026 as the publicly-available member of the new Mythos class. Premium per-token pricing on the Anthropic API; available everywhere Opus 4.8 ships.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.
Release2026-06-092026-06-19
Bench coverage0/0 scored · avg —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 Claude Fable 5 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 you want anthropic's newest reasoning → Claude Fable 5, 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 — Claude Fable 5 vs North Mini Code

Which is better, Claude Fable 5 or North Mini Code?

On Goldie Bench, Claude Fable 5 averages no scored verdicts yet across the shared tasks, with 0 gold, 0 silver, 0 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 Claude Fable 5 cost vs North Mini Code?

Claude Fable 5: Released alongside Mythos 5 on June 9, 2026 as the publicly-available member of the new Mythos class. Premium per-token pricing on the Anthropic API; available everywhere Opus 4.8 ships. 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 Claude Fable 5 vs North Mini Code?

Claude Fable 5 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 Claude Fable 5 over North Mini Code?

Pick Claude Fable 5 for: Mission-critical one-shot builds where you want Anthropic's newest reasoning; Long-context work using extended thinking up to 1M tokens; Plan-heavy multi-step tasks where intelligence in the plan matters more than the build. The trade-off is the weaknesses we logged on the bench: No goldiebench per-task scores yet — bench rank pending a published head-to-head guide; Premium pricing; Fusion premium panel reportedly out-scores it at half the API cost.

When should I pick North Mini Code over Claude Fable 5?

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 Claude Fable 5 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