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

Claude Fable 5 vs Kimi K2.7 · No-Think

The newest Anthropic model — first Mythos-class made generally available. vs Pure execution mode — no chain of thought.

Claude Fable 5 · context200K tokens
Kimi K2.7 · No-Think · context256K tokens
Claude Fable 5 · price$10 / $50 per M tokens
Kimi K2.7 · No-Think · priceFlat plan (no per-token bill)
Claude Fable 5 · vendorAnthropic
Kimi K2.7 · No-Think · vendorMoonshot AI

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 Kimi K2.7 · No-Think, side by side, on 42 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 — it replaced Opus 4.8 as the safety net on hard prompts, and the full 42-task bench run now backs that call.

Kimi K2.7 · No-Think · Reserved for templated transforms where the plan is already in the prompt — the model just executes.

Side-by-side on 42 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
Kimi K2.7 · No-Think
Game
Claude Fable 5 on Arcade
Kimi K2.7 · No-Think on Arcade
Game
Claude Fable 5 on Crypt
Kimi K2.7 · No-Think on Crypt
Game
Claude Fable 5 on Dogfight
Kimi K2.7 · No-Think on Dogfight
Game
Claude Fable 5 on Doom
Kimi K2.7 · No-Think on Doom
Claude Fable 5 on Dragonflight
Kimi K2.7 · No-Think on Dragonflight
Claude Fable 5 on Dragonrealm
Kimi K2.7 · No-Think on Dragonrealm
Game
Claude Fable 5 on Game
Kimi K2.7 · No-Think on Game
Claude Fable 5 on Neonblaster
Kimi K2.7 · No-Think on Neonblaster
Game
Claude Fable 5 on Neoncity
Kimi K2.7 · No-Think on Neoncity
Game
🥉Claude Fable 5 on Neonracer
Kimi K2.7 · No-Think on Neonracer
Claude Fable 5 on Nordiccrypt
Kimi K2.7 · No-Think on Nordiccrypt
Game
🥇Claude Fable 5 on Outrun
Kimi K2.7 · No-Think on Outrun
Game
🥉Claude Fable 5 on Pool
Kimi K2.7 · No-Think on Pool
Game
Claude Fable 5 on Racing
Kimi K2.7 · No-Think on Racing
Game
Claude Fable 5 on Raycaster
Kimi K2.7 · No-Think on Raycaster
Game
Claude Fable 5 on Rpg
Kimi K2.7 · No-Think on Rpg
Game
Claude Fable 5 on Skyrim
Kimi K2.7 · No-Think on Skyrim
Claude Fable 5 on Twilightvale
Kimi K2.7 · No-Think on Twilightvale
Game
Claude Fable 5 on Voxelcraft
Kimi K2.7 · No-Think on Voxelcraft
Page
Claude Fable 5 on Landing
Kimi K2.7 · No-Think on Landing
Page
Claude Fable 5 on Webos
Kimi K2.7 · No-Think on Webos
Sim
🥉Claude Fable 5 on Blackhole
Kimi K2.7 · No-Think on Blackhole
Sim
🥉Claude Fable 5 on Boids
Kimi K2.7 · No-Think on Boids
Sim
🥉Claude Fable 5 on Cloth
Kimi K2.7 · No-Think on Cloth

Strengths & weaknesses I logged

Claude Fable 5

Strengths

  • Best solo Anthropic model on this bench — 7.72 avg beats Opus 4.8 (7.49) and Sonnet 5 (7.18)
  • Wins most head-to-heads vs every solo rival: beats Opus 4.8 on 26/42 tasks and GLM-5.2 on 27/42 — two one-shot crashes, not the craft, cost it the average
  • 10 task-winner tags in a single one-shot run — shader/GPU physics is its superpower (Cornell-box path tracer 8.7, black-hole lensing 8.7, synthwave outrun 8.7)
  • Tops external SWE-bench Verified at 95.0% in Julian's three-dragons writeup

Trade-offs

  • Two one-shot black-screens (crypt, twilightvale) from three.js r128 API drift — called THREE.Geometry / CapsuleGeometry, which the pinned CDN doesn't have
  • Free GLM-5.2 still edges it on creative one-shots (7.77 vs 7.72) at $0 — the $10/$50 premium buys agentic depth, not one-shot visuals

Kimi K2.7 · No-Think

Strengths

  • Skips planning to ship straight to code
  • Useful when you've already done the reasoning in the prompt
  • Predictable latency for batched jobs

Trade-offs

  • Loses ground on multi-step tasks that benefit from planning
  • Not scored on the standalone bench — see methodology

Pricing & context — the spec sheet

Spec Claude Fable 5 Kimi K2.7 · No-Think
VendorAnthropicMoonshot AI
Context window200,000 tokens (1M with extended thinking)256,000 tokens
Price$10 / $50 per M tokensFlat plan (no per-token bill)
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.Same flat-rate plan as standard Kimi K2.7 — No-Think disables the chain-of-thought layer at runtime. Vendor: Moonshot AI (moonshot.ai).
Release2026-06-092026-06
Bench coverage42/42 scored · avg 7.72/100/42 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 Kimi K2.7 · No-Think 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, templated transforms where the plan is in the prompt → Kimi K2.7 · No-Think. That's the same setup I run for the 3,600+ founders inside the AI Profit Boardroom.

FAQ — Claude Fable 5 vs Kimi K2.7 · No-Think

Which is better, Claude Fable 5 or Kimi K2.7 · No-Think?

On Goldie Bench, Claude Fable 5 averages no scored verdicts yet across the shared tasks, with 3 gold, 1 silver, 7 bronze overall. Kimi K2.7 · No-Think 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 Kimi K2.7 · No-Think?

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. Kimi K2.7 · No-Think: Same flat-rate plan as standard Kimi K2.7 — No-Think disables the chain-of-thought layer at runtime. Vendor: Moonshot AI (moonshot.ai).

What's the context window for Claude Fable 5 vs Kimi K2.7 · No-Think?

Claude Fable 5 has a 200,000 tokens (1M with extended thinking) context window. Kimi K2.7 · No-Think has a 256,000 tokens context window.

When should I pick Claude Fable 5 over Kimi K2.7 · No-Think?

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: Two one-shot black-screens (crypt, twilightvale) from three.js r128 API drift — called THREE.Geometry / CapsuleGeometry, which the pinned CDN doesn't have; Free GLM-5.2 still edges it on creative one-shots (7.77 vs 7.72) at $0 — the $10/$50 premium buys agentic depth, not one-shot visuals.

When should I pick Kimi K2.7 · No-Think over Claude Fable 5?

Pick Kimi K2.7 · No-Think for: Templated transforms where the plan is in the prompt; Batched code generation jobs; Workflows where you want the model to stop second-guessing. The trade-off is the weaknesses we logged on the bench: Loses ground on multi-step tasks that benefit from planning; Not scored on the standalone bench — see methodology.

How does Goldie Bench score Claude Fable 5 vs Kimi K2.7 · No-Think?

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
$59/momonthly