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

Inkling vs Claude Mythos 5

A 975B open-weights frontier model — yours to own and run. vs Restricted-access flagship — vetted partners only.

Inkling · context1M tokens
Claude Mythos 5 · context200K tokens
Inkling · price$0.33 / M
Claude Mythos 5 · priceRestricted access — vetted partners only
Inkling · vendorThinking Machines
Claude Mythos 5 · vendorAnthropic

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 Inkling and Claude Mythos 5, 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.

Inkling · Benched on GoldieBench one-shot through Tinker's OpenAI-compatible endpoint at medium reasoning effort, then headless-playtested on the same rubric as the whole field. In the Agent OS it's wired into the opencode tab on your own Tinker key — the Ink Machine.

Claude Mythos 5 · Not currently dispatched from Agent OS — no public API. Tracked for news coverage only.

Side-by-side on 50 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 ↓
Inkling
Claude Mythos 5
Game
Inkling on Arcade
— not attempted —
Game
Inkling on Crypt
— not attempted —
Game
Inkling on Dogfight
— not attempted —
Game
Inkling on Doom
— not attempted —
Inkling on Dragonflight
— not attempted —
Inkling on Dragonrealm
— not attempted —
Game
Inkling on Flightsim
— not attempted —
Game
Inkling on Game
— not attempted —
Game
Inkling on Gtadrive
— not attempted —
Game
Inkling on Gtafoot
— not attempted —
Inkling on Neonblaster
— not attempted —
Game
Inkling on Neoncity
— not attempted —
Game
Inkling on Neonracer
— not attempted —
Inkling on Nordiccrypt
— not attempted —
Game
Inkling on Outrun
— not attempted —
Game
Inkling on Parachute
— not attempted —
Game
Inkling on Pool
— not attempted —
Game
Inkling on Racing
— not attempted —
Game
Inkling on Raycaster
— not attempted —
Game
Inkling on Rpg
— not attempted —
Game
Inkling on Skyrim
— not attempted —
Inkling on Twilightvale
— not attempted —
Game
Inkling on Voxelcraft
— not attempted —
Other
🥈Inkling on Matrixrain
— not attempted —

Strengths & weaknesses I logged

Inkling

Strengths

  • Genuinely open-weights — the full 975B model is public on Hugging Face; run it on your own key, no black box
  • Best one-shot builds are 2D / animation / web — a matrix-rain that topped its task (8.4), plus arcade, fractal, aurora and a mini web-OS all judged shippable (7.6–8.2)
  • Frontier-class agentic coding for an open model — 77.6% SWE-bench Verified, ahead of Nemotron 3 Ultra
  • 1M-token context, native multimodal (text/image/audio), and a controllable thinking-effort dial

Trade-offs

  • One-shot 3D games are weak — three.js dungeons/racers render a title screen but no playable scene, like most open models (crypt 2.5)
  • Physics and particle sims are hit-or-miss — black-hole, plasma and cloth one-shots often render dark or static (2.3–3.5)
  • Not the strongest overall — the closed frontier (Fable 5) still tops the raw benchmarks; Inkling trades peak for ownership

Claude Mythos 5

Strengths

  • Highest-class Anthropic model — sits above Fable 5 in the Mythos line
  • Same Mythos-class capability profile as Fable 5 (with restrictions)

Trade-offs

  • No public API access — can't be benched against the open field
  • Restricted distribution makes it effectively unavailable to most builders

Pricing & context — the spec sheet

Spec Inkling Claude Mythos 5
VendorThinking MachinesAnthropic
Context window1,000,000 tokens200,000 tokens
Price$0.33 / MRestricted access — vetted partners only
Pricing detailInkling is open-weights — a 975B-parameter (41B active) Mixture-of-Experts model whose full weights are public on Hugging Face. You run it on your own key through Tinker's OpenAI-compatible endpoint (usage-based, ~$0.33/M sampling, 50% off at launch), or via Together / Fireworks / Modal / Databricks / Baseten. Benched here one-shot at medium reasoning effort via Tinker.Mythos 5 is the un-released sibling of Fable 5. Same Mythos class, restricted to vetted partners. Made headlines mid-June 2026 when reports of a White-House-driven ban over China access dominated AI press.
Release2026-072026-06-09
Bench coverage50/50 scored · avg 6.07/100/0 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 Inkling and Claude Mythos 5 both into the Agent Operating System and dispatch each from the kanban by task type — owning a frontier model instead of renting one — on your own key, pennies per build → Inkling, vetted enterprise partners with mythos-class access → Claude Mythos 5. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Inkling vs Claude Mythos 5

Which is better, Inkling or Claude Mythos 5?

On Goldie Bench, Inkling averages no scored verdicts yet across the shared tasks, with 0 gold, 3 silver, 1 bronze overall. Claude Mythos 5 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 Inkling cost vs Claude Mythos 5?

Inkling: Inkling is open-weights — a 975B-parameter (41B active) Mixture-of-Experts model whose full weights are public on Hugging Face. You run it on your own key through Tinker's OpenAI-compatible endpoint (usage-based, ~$0.33/M sampling, 50% off at launch), or via Together / Fireworks / Modal / Databricks / Baseten. Benched here one-shot at medium reasoning effort via Tinker. Claude Mythos 5: Mythos 5 is the un-released sibling of Fable 5. Same Mythos class, restricted to vetted partners. Made headlines mid-June 2026 when reports of a White-House-driven ban over China access dominated AI press.

What's the context window for Inkling vs Claude Mythos 5?

Inkling has a 1,000,000 tokens context window. Claude Mythos 5 has a 200,000 tokens context window.

When should I pick Inkling over Claude Mythos 5?

Pick Inkling for: Owning a frontier model instead of renting one — on your own key, pennies per build; Generative visuals, data-viz and single-file web builds you want one-shot; A customizable open base you can fine-tune on Tinker for your own domain. The trade-off is the weaknesses we logged on the bench: One-shot 3D games are weak — three.js dungeons/racers render a title screen but no playable scene, like most open models (crypt 2.5); Physics and particle sims are hit-or-miss — black-hole, plasma and cloth one-shots often render dark or static (2.3–3.5); Not the strongest overall — the closed frontier (Fable 5) still tops the raw benchmarks; Inkling trades peak for ownership.

When should I pick Claude Mythos 5 over Inkling?

Pick Claude Mythos 5 for: Vetted enterprise partners with Mythos-class access; (For everyone else: read the Mythos ban coverage instead of waiting for access). The trade-off is the weaknesses we logged on the bench: No public API access — can't be benched against the open field; Restricted distribution makes it effectively unavailable to most builders.

How does Goldie Bench score Inkling vs Claude Mythos 5?

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 4,000+ founders shipping with it every day all live inside the AI Profit Boardroom.

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