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

Kimi K2.7 · Quality vs Claude Fable 5

Quality mode — deepest thinking, best output. vs The newest Anthropic model — first Mythos-class made generally available.

Kimi K2.7 · Quality · context256K tokens
Claude Fable 5 · context200K tokens
Kimi K2.7 · Quality · priceFlat plan (no per-token bill)
Claude Fable 5 · priceAnthropic API pricing
Kimi K2.7 · Quality · vendorMoonshot AI
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 Kimi K2.7 · Quality 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.

Kimi K2.7 · Quality · Reserved for one-shot builds where the output is the deliverable — polish over speed.

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 3 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 ↓
Kimi K2.7 · Quality
Claude Fable 5
Game
Kimi K2.7 · Quality on Game
— not attempted —
Sim
Kimi K2.7 · Quality on Galaxy
— not attempted —
Sim
Kimi K2.7 · Quality on Solar
— not attempted —

Strengths & weaknesses I logged

Kimi K2.7 · Quality

Strengths

  • Highest-effort reasoning path of the three Kimi modes
  • Hand-tuned output polish on creative tasks
  • Same flat-rate plan as Fast and No-Think — no premium

Trade-offs

  • Slower than Fast and No-Think — not for snappy loops
  • Not scored on the standalone bench — see methodology

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 Kimi K2.7 · Quality Claude Fable 5
VendorMoonshot AIAnthropic
Context window256,000 tokens200,000 tokens (1M with extended thinking)
PriceFlat plan (no per-token bill)Anthropic API pricing
Pricing detailSame flat-rate plan as standard Kimi K2.7 — Quality mode runs the deepest reasoning path.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.
Release2026-062026-06-09
Bench coverage0/3 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 Kimi K2.7 · Quality and Claude Fable 5 both into the Agent Operating System and dispatch each from the kanban by task type — one-shot games and sims where polish matters → Kimi K2.7 · Quality, 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 — Kimi K2.7 · Quality vs Claude Fable 5

Which is better, Kimi K2.7 · Quality or Claude Fable 5?

On Goldie Bench, Kimi K2.7 · Quality averages no scored verdicts yet across the shared tasks, with 0 gold, 0 silver, 0 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 Kimi K2.7 · Quality cost vs Claude Fable 5?

Kimi K2.7 · Quality: Same flat-rate plan as standard Kimi K2.7 — Quality mode runs the deepest reasoning path. 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 Kimi K2.7 · Quality vs Claude Fable 5?

Kimi K2.7 · Quality has a 256,000 tokens context window. Claude Fable 5 has a 200,000 tokens (1M with extended thinking) context window.

When should I pick Kimi K2.7 · Quality over Claude Fable 5?

Pick Kimi K2.7 · Quality for: One-shot games and sims where polish matters; Creative writing where you want the model to slow down; Final-pass refinement of an earlier draft. The trade-off is the weaknesses we logged on the bench: Slower than Fast and No-Think — not for snappy loops; Not scored on the standalone bench — see methodology.

When should I pick Claude Fable 5 over Kimi K2.7 · Quality?

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 Kimi K2.7 · Quality 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