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

Opus 4.8 vs Claude Fable 5

The reasoning king — deepest thinking, premium price. vs The newest Anthropic model — first Mythos-class made generally available.

Opus 4.8 · context200K tokens
Claude Fable 5 · context200K tokens
Opus 4.8 · price$15 / $75 per M tokens
Claude Fable 5 · priceAnthropic API pricing
Opus 4.8 · vendorAnthropic
Claude Fable 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 Opus 4.8 and Claude Fable 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.

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.

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.

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
Claude Fable 5
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

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

Pricing & context — the spec sheet

Spec Opus 4.8 Claude Fable 5
VendorAnthropicAnthropic
Context window200,000 tokens (1M with extended thinking)200,000 tokens (1M with extended thinking)
Price$15 / $75 per M tokensAnthropic API pricing
Pricing detailPremium pricing via the Anthropic API: $15 per million input tokens, $75 per million output tokens. Extended thinking is included but adds latency.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.
Release2026-052026-06-09
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 Claude Fable 5 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, mission-critical one-shot builds where you want anthropic's newest reasoning → Claude Fable 5. That's the same setup I run for the 3,600+ founders inside the AI Profit Boardroom.

FAQ — Opus 4.8 vs Claude Fable 5

Which is better, Opus 4.8 or Claude Fable 5?

On Goldie Bench, Opus 4.8 averages no scored verdicts yet across the shared tasks, with 8 gold, 4 silver, 1 bronze overall. Claude Fable 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 Opus 4.8 cost vs Claude Fable 5?

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. 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.

What's the context window for Opus 4.8 vs Claude Fable 5?

Opus 4.8 has a 200,000 tokens (1M with extended thinking) context window. Claude Fable 5 has a 200,000 tokens (1M with extended thinking) context window.

When should I pick Opus 4.8 over Claude Fable 5?

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 Claude Fable 5 over Opus 4.8?

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.

How does Goldie Bench score Opus 4.8 vs Claude Fable 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 3,600+ founders shipping with it every day all live inside the AI Profit Boardroom.

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