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

Muse Spark 1.2 vs LongCat-2.0

Meta's coding reasoning model — co-trained with its own agent, 1M-token window. vs The open 1.6T MoE that builds — a frontier coder trained on non-Nvidia ASIC superpods.

Head-to-head verdict: LongCat-2.0 wins 4–0.

Muse Spark 1.2 · context1M tokens
LongCat-2.0 · context1M tokens
Muse Spark 1.2 · price$1.25 in / $4.25 out per 1M
LongCat-2.0 · priceOpen weights · free web chat · API
Muse Spark 1.2 · vendorMeta
LongCat-2.0 · vendorMeituan

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 Muse Spark 1.2 and LongCat-2.0, side by side, on 4 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.

Muse Spark 1.2 · Cloud coder via OpenRouter; the Muse Code agent (one-command install) is its native harness.

LongCat-2.0 · Run through the free longcat.chat web chat (the API key had no token quota), driven with the local-model-tester GoldieBench prompts; every build render-verified + playtested (verify-move.js: walks + looks + zero errors) before scoring. Slots into the Agent OS as an open frontier coder via its OpenAI-compatible API or the Claude Code / OpenClaw / Hermes harnesses.

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 ↓
Muse Spark 1.2
LongCat-2.0
Game
Muse Spark 1.2 on Crypt
LongCat-2.0 on Crypt
Muse Spark 1.2 on Dragonrealm
LongCat-2.0 on Dragonrealm
Game
Muse Spark 1.2 on Skyrim
LongCat-2.0 on Skyrim
Game
Muse Spark 1.2 on Voxelcraft
LongCat-2.0 on Voxelcraft
Game
Muse Spark 1.2 on Arcade
— not attempted —
Game
Muse Spark 1.2 on Dogfight
— not attempted —
Game
Muse Spark 1.2 on Doom
— not attempted —
Muse Spark 1.2 on Dragonflight
— not attempted —
Game
🥉Muse Spark 1.2 on Flightsim
— not attempted —
Game
Muse Spark 1.2 on Game
— not attempted —
Game
Muse Spark 1.2 on Gtadrive
— not attempted —
Game
Muse Spark 1.2 on Gtafoot
— not attempted —
Muse Spark 1.2 on Neonblaster
— not attempted —
Game
Muse Spark 1.2 on Neoncity
— not attempted —
Game
Muse Spark 1.2 on Neonracer
— not attempted —
Muse Spark 1.2 on Nordiccrypt
— not attempted —
Game
Muse Spark 1.2 on Outrun
— not attempted —
Game
Muse Spark 1.2 on Parachute
— not attempted —
Game
Muse Spark 1.2 on Pool
— not attempted —
Game
Muse Spark 1.2 on Racing
— not attempted —
Game
Muse Spark 1.2 on Raycaster
— not attempted —
Game
Muse Spark 1.2 on Rpg
— not attempted —
Muse Spark 1.2 on Twilightvale
— not attempted —
Other
Muse Spark 1.2 on Matrixrain
— not attempted —

Where LongCat-2.0 beat Muse Spark 1.2

The tasks where I gave LongCat-2.0 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.

Skyrim Game
LongCat-2.0 8.5 · Muse Spark 1.2 4.2 (+4.3)

What I saw: One-shot 23KB open-world explorer (the richest of the four) — rolling displaced terrain, snow mountains, a stone watchtower, 20+ conifers, boulders, grass, clouds, and terrain-height following. Real WASD+mouse. verify-move: walks+looks, 0 errors.

Crypt Game
LongCat-2.0 8.0 · Muse Spark 1.2 4.5 (+3.5)

What I saw: One-shot 9KB torch-lit stone dungeon corridor — pillars, barrels, a chest, 6+ flickering torch PointLights, fog. Real WASD+mouse controls. verify-move: walks+looks, 0 errors. Lit + atmospheric (a touch over-bright orange).

Voxelcraft Game
LongCat-2.0 7.5 · Muse Spark 1.2 6.8 (+0.7)

What I saw: One-shot 9KB Minecraft-style voxel world — 16x16 grass/dirt/stone cubes, voxel trees, day/night sky, raycast break+place, real WASD+mouse. verify-move: walks+looks, 0 errors. Built the full world one-shot but the initial camera yaw faced away (sky-only) — a one-line framing patch…

LongCat-2.0 8.5 · Muse Spark 1.2 8.3 (+0.2)

What I saw: One-shot 15KB three.js snow open-world — snow-capped mountains + 30 low-poly pines, 3000-particle falling snow, first-person glowing sword, fog. Real WASD+mouse+sprint controls, terrain-follow. verify-move: walks+looks, canvas 1440x810, 0 errors. Flawless first try — no patch.

Strengths & weaknesses I logged

Muse Spark 1.2

Strengths

  • Generative art & shader-feel scenes (fractal 8.7, aurora/galaxy/matrix/synthwave 8.6)
  • Full app chrome one-shot (macOS-clone desktop 8.6)
  • Fast one-shots — most builds landed in 45-80s
  • 1M context for whole-repo work

Trade-offs

  • 3D game worlds often render black/empty (dragonrealm 2.5, dogfight 3.0, doom 3.5)
  • Open-world briefs collapse to HUD-only shells
  • Reasoning tokens billed as output

LongCat-2.0

Strengths

  • One-shot GoldieBench: 3 of 4 flawless playable 3D builds (Dragon Realm 8.5, Skyrim 8.5, Crypt 8.0); Voxel Craft built one-shot but needed a 1-line camera fix (7.5) — avg 8.1
  • 1.6T-param MoE (~48B active/token) with LongCat Sparse Attention + a 1M-token window — built for long-horizon agentic + coding tasks
  • Open weights, deeply integrated with Claude Code, OpenClaw and Hermes — a free frontier-class coder to slot into the Agent OS

Trade-offs

  • The direct API key we were given had near-zero token quota, so we ran it through the free web chat rather than the API
  • One camera-framing miss: Voxel Craft loaded facing away from the world (sky-only) until a one-line yaw/pitch patch pointed it at the terrain

Pricing & context — the spec sheet

Spec Muse Spark 1.2 LongCat-2.0
VendorMetaMeituan
Context window1,000,000 tokens1,000,000 tokens (LongCat Sparse Attention)
Price$1.25 in / $4.25 out per 1MOpen weights · free web chat · API
Pricing detailMeta's coding-optimized reasoning model, released 2026-08-05 beside the Muse Code agent. $0.15/1M cached input. Contributor tier is token-rate-limited in a rolling 5-hour window. Benched release-day via OpenRouter (meta/muse-spark-1.2, first-party listing); Opus 4.8 judged every real rendered poster, same rubric as the whole field.LongCat-2.0 is open-sourced (weights on Hugging Face + GitHub) and served via the longcat.chat web chat plus an OpenAI-compatible API (model id 'LongCat-2.0' at api.longcat.chat/openai/v1). It's a 1.6T-parameter MoE with ~48B activated per token, trained entirely on AI ASIC superpods (>50K accelerators, 35T+ tokens, no rollbacks). Note: the direct API key we were handed shipped with zero token quota ('Token 额度不足'), so every build here was run through the free web chat. Vendor: Meituan.
Release2026-08-052026-06
Bench coverage50/50 scored · avg 7.47/104/4 scored · avg 8.12/10

The verdict — which should you pick?

Across 4 scored shared tasks, LongCat-2.0 averaged 8.12/10, beating Muse Spark 1.2's 5.95/10 by 2.17 points. Pick LongCat-2.0 when the build has to ship on the first prompt and you can afford the trade-offs in the comparison below.

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 Muse Spark 1.2 and LongCat-2.0 both into the Agent Operating System and dispatch each from the kanban by task type — generative-art visuals → Muse Spark 1.2, one-shot single-file 3d / html / game builds inside the agent os → LongCat-2.0. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Muse Spark 1.2 vs LongCat-2.0

Which is better, Muse Spark 1.2 or LongCat-2.0?

On Goldie Bench, Muse Spark 1.2 averages 5.95/10 across the shared tasks, with 0 gold, 3 silver, 4 bronze overall. LongCat-2.0 averages 8.12/10, with 0 gold, 0 silver, 0 bronze. LongCat-2.0 wins the head-to-head 4–0.

How much does Muse Spark 1.2 cost vs LongCat-2.0?

Muse Spark 1.2: Meta's coding-optimized reasoning model, released 2026-08-05 beside the Muse Code agent. $0.15/1M cached input. Contributor tier is token-rate-limited in a rolling 5-hour window. Benched release-day via OpenRouter (meta/muse-spark-1.2, first-party listing); Opus 4.8 judged every real rendered poster, same rubric as the whole field. LongCat-2.0: LongCat-2.0 is open-sourced (weights on Hugging Face + GitHub) and served via the longcat.chat web chat plus an OpenAI-compatible API (model id 'LongCat-2.0' at api.longcat.chat/openai/v1). It's a 1.6T-parameter MoE with ~48B activated per token, trained entirely on AI ASIC superpods (>50K accelerators, 35T+ tokens, no rollbacks). Note: the direct API key we were handed shipped with zero token quota ('Token 额度不足'), so every build here was run through the free web chat. Vendor: Meituan.

What's the context window for Muse Spark 1.2 vs LongCat-2.0?

Muse Spark 1.2 has a 1,000,000 tokens context window. LongCat-2.0 has a 1,000,000 tokens (LongCat Sparse Attention) context window.

When should I pick Muse Spark 1.2 over LongCat-2.0?

Pick Muse Spark 1.2 for: Generative-art visuals; Dashboard & app-shell one-shots; Long-context refactors (1M window). The trade-off is the weaknesses we logged on the bench: 3D game worlds often render black/empty (dragonrealm 2.5, dogfight 3.0, doom 3.5); Open-world briefs collapse to HUD-only shells; Reasoning tokens billed as output.

When should I pick LongCat-2.0 over Muse Spark 1.2?

Pick LongCat-2.0 for: One-shot single-file 3D / HTML / game builds inside the Agent OS; Long-context, repo-level edits + automated agentic task execution; A free, open, frontier-class coder to drop into the Model-Proof System. The trade-off is the weaknesses we logged on the bench: The direct API key we were given had near-zero token quota, so we ran it through the free web chat rather than the API; One camera-framing miss: Voxel Craft loaded facing away from the world (sky-only) until a one-line yaw/pitch patch pointed it at the terrain.

How does Goldie Bench score Muse Spark 1.2 vs LongCat-2.0?

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.

4,000+founders
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