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

Claude Opus 5 vs MiniMax M3

The new Anthropic flagship — benched on all 45 one-shot builds the day it landed. vs 1M-context frontier model at $0.30/M tokens — cheapest big-context model on the bench.

Head-to-head verdict: Claude Opus 5 wins 30–17.

Claude Opus 5 · context1M tokens
MiniMax M3 · context1M tokens
Claude Opus 5 · price$5 / $25 per M
MiniMax M3 · price$0.30 / 1M input tokens, $1.50 / 1M output
Claude Opus 5 · vendorAnthropic
MiniMax M3 · vendorMiniMax

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 Opus 5 and MiniMax M3, side by side, on 47 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 Opus 5 · Benched on all 45 GoldieBench tasks via API on release day, incremental deploys as scores landed.

MiniMax M3 · Bench prompts dispatched via OpenRouter. Scored by Claude judge against the same 42 prompts every other model ran.

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 ↓
Claude Opus 5
MiniMax M3
Game
Claude Opus 5 on Arcade
MiniMax M3 on Arcade
Game
Claude Opus 5 on Crypt
🥉MiniMax M3 on Crypt
Game
Claude Opus 5 on Dogfight
MiniMax M3 on Dogfight
Game
Claude Opus 5 on Doom
MiniMax M3 on Doom
Claude Opus 5 on Dragonflight
🥉MiniMax M3 on Dragonflight
Claude Opus 5 on Dragonrealm
🥇MiniMax M3 on Dragonrealm
Game
🥈Claude Opus 5 on Flightsim
MiniMax M3 on Flightsim
Game
Claude Opus 5 on Game
MiniMax M3 on Game
Game
🥉Claude Opus 5 on Gtadrive
MiniMax M3 on Gtadrive
Game
🥈Claude Opus 5 on Gtafoot
MiniMax M3 on Gtafoot
Claude Opus 5 on Neonblaster
MiniMax M3 on Neonblaster
Game
Claude Opus 5 on Neoncity
MiniMax M3 on Neoncity
Game
🥇Claude Opus 5 on Neonracer
MiniMax M3 on Neonracer
Claude Opus 5 on Nordiccrypt
🥈MiniMax M3 on Nordiccrypt
Game
🥇Claude Opus 5 on Outrun
MiniMax M3 on Outrun
Game
🥈Claude Opus 5 on Parachute
MiniMax M3 on Parachute
Game
Claude Opus 5 on Pool
MiniMax M3 on Pool
Game
🥉Claude Opus 5 on Racing
🥇MiniMax M3 on Racing
Game
Claude Opus 5 on Raycaster
MiniMax M3 on Raycaster
Game
🥈Claude Opus 5 on Rpg
MiniMax M3 on Rpg
Game
Claude Opus 5 on Skyrim
MiniMax M3 on Skyrim
Claude Opus 5 on Twilightvale
🥉MiniMax M3 on Twilightvale
Game
Claude Opus 5 on Voxelcraft
MiniMax M3 on Voxelcraft
Page
🥈Claude Opus 5 on Aipbpromo
MiniMax M3 on Aipbpromo

Where Claude Opus 5 beat MiniMax M3

The tasks where I gave Claude Opus 5 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.

Plasma Visual
Claude Opus 5 8.7 · MiniMax M3 6.0 (+2.7) · Gorgeous GLSL plasma

What I saw: Stunning WebGL fragment-shader plasma with smooth flowing interference, cosine palettes, visible ripple singularity, 6 palette pills with gradient swatches, blended transitions and a 2D fallback path; polished UI, 65fps, and full brief coverage (palette switcher + click ripples) …

Blackhole Sim
Claude Opus 5 9.0 · MiniMax M3 7.0 (+2.0) · ray-traced lensing

What I saw: Stunning Schwarzschild ray-traced lensing with a convincing event horizon, warped accretion disk arcing over/under the shadow, Doppler beaming, and a rich lensed starfield — plus a polished, functional control panel with quality/inclination/distance sliders. The only faint quibbl…

Fireworks Visual
Claude Opus 5 9.0 · MiniMax M3 7.5 (+1.5) · harbour firework spectacular

What I saw: Stunning multi-type bursts (rings, peonies, chrysanthemums, willows) over a beautifully lit skyline with reflections, moon, and stars; rich UI with auto/finale/sound controls and live stats make it a clear task winner. Only minor concern is the 22fps under heavy load, but visuall…

Galaxy Sim
Claude Opus 5 8.8 · MiniMax M3 7.5 (+1.3) · Gorgeous spiral vortex

What I saw: Stunning multi-arm spiral with a glowing core, gradient star coloring (gold→pink→blue), halo, and distant starfield — visually the strongest galaxy render, backed by rich swirl/orbit/zoom/supernova interaction. Only nit is FPS at 39, but the composition clearly matches or beats t…

Wormhole Sim
Claude Opus 5 8.8 · MiniMax M3 7.5 (+1.3) · neon warp tunnel

What I saw: Stunning depth with concentric glowing rings receding to a bright core, layered wireframe mesh, colorful motes, and radiating light streaks — genuinely reads as a 3D wormhole flythrough with polished HUD; steering/warp/regenerate controls back it up. Top of the field.

Where MiniMax M3 beat Claude Opus 5

The tasks where I gave MiniMax M3 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.

MiniMax M3 8.5 · Claude Opus 5 6.8 (+1.7)

What I saw: 30KB neon space shooter — waves, bosses, power-ups, screen-shake.

MiniMax M3 9.0 · Claude Opus 5 7.3 (+1.7) · winner · biggest open world

What I saw: 47KB — densest open-world. Village, NPCs, combat, day/night, weather, inventory.

Arcade Game
MiniMax M3 8.0 · Claude Opus 5 6.5 (+1.5)

What I saw: Neon Breakout — paddle, ball, brick wall, particle trails, score HUD.

Pool Game
MiniMax M3 7.5 · Claude Opus 5 6.0 (+1.5)

What I saw: Canvas-2D billiards with 16 balls, pockets, click-drag aim.

Doom Game
MiniMax M3 8.0 · Claude Opus 5 6.8 (+1.2)

What I saw: Raycaster + sprite enemies + gun + HUD. 21KB of game logic.

Strengths & weaknesses I logged

Claude Opus 5

Strengths

  • Frontier-class coding + agentic reasoning (Claude 5 family)
  • 1M-token context — reads an entire codebase in one call
  • Benched here with skill-infused game prompts the day of release

Trade-offs

  • Premium pricing ($5/$25 per M) — route the everyday 90% to cheaper lanes
  • Reasoning-by-default eats token budgets unless tuned per call

MiniMax M3

Strengths

  • 1M token context — full repo / full deep-research corpus fits in one call
  • $0.30/M input is roughly 1/30th of Opus 4.8 — built for high-volume agent loops
  • Solid one-shot HTML output — clean structure on game and visual prompts

Trade-offs

  • Less polished than Fusion's panel-ensembled output on the toughest deep builds
  • Newer model — less community calibration vs Fable 5 / Opus 4.8

Pricing & context — the spec sheet

Spec Claude Opus 5 MiniMax M3
VendorAnthropicMiniMax
Context window1,000,000 tokens1,048,576-token context — matches GLM-5.2 and Fable 5
Price$5 / $25 per M$0.30 / 1M input tokens, $1.50 / 1M output
Pricing detailAnthropic's brand-new flagship — the first Opus of the Claude 5 family, with a 1M-token context window. Benched via API the day it dropped; game tasks use our skill-infused AAA build prompts.MiniMax M3 is the cheapest 1M-context frontier model on the bench — roughly 1/200th the per-call cost of OpenRouter Fusion and 1/30th of Claude Opus 4.8. Designed for high-volume agent workloads where context length matters but per-call budget is tight.
Release2026-072026-06-18
Bench coverage50/50 scored · avg 8.27/1047/47 scored · avg 7.97/10

The verdict — which should you pick?

Across 47 scored shared tasks, Claude Opus 5 averaged 8.29/10, beating MiniMax M3's 7.97/10 by 0.32 points. Pick Claude Opus 5 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 Claude Opus 5 and MiniMax M3 both into the Agent Operating System and dispatch each from the kanban by task type — hardest agentic builds → Claude Opus 5, high-volume agent workflows where per-call cost dominates → MiniMax M3. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Claude Opus 5 vs MiniMax M3

Which is better, Claude Opus 5 or MiniMax M3?

On Goldie Bench, Claude Opus 5 averages 8.29/10 across the shared tasks, with 13 gold, 7 silver, 5 bronze overall. MiniMax M3 averages 7.97/10, with 2 gold, 1 silver, 4 bronze. Claude Opus 5 wins the head-to-head 30–17.

How much does Claude Opus 5 cost vs MiniMax M3?

Claude Opus 5: Anthropic's brand-new flagship — the first Opus of the Claude 5 family, with a 1M-token context window. Benched via API the day it dropped; game tasks use our skill-infused AAA build prompts. MiniMax M3: MiniMax M3 is the cheapest 1M-context frontier model on the bench — roughly 1/200th the per-call cost of OpenRouter Fusion and 1/30th of Claude Opus 4.8. Designed for high-volume agent workloads where context length matters but per-call budget is tight.

What's the context window for Claude Opus 5 vs MiniMax M3?

Claude Opus 5 has a 1,000,000 tokens context window. MiniMax M3 has a 1,048,576-token context — matches GLM-5.2 and Fable 5 context window.

When should I pick Claude Opus 5 over MiniMax M3?

Pick Claude Opus 5 for: Hardest agentic builds; Whole-repo reasoning; Frontier one-shots. The trade-off is the weaknesses we logged on the bench: Premium pricing ($5/$25 per M) — route the everyday 90% to cheaper lanes; Reasoning-by-default eats token budgets unless tuned per call.

When should I pick MiniMax M3 over Claude Opus 5?

Pick MiniMax M3 for: High-volume agent workflows where per-call cost dominates; 1M-context tasks (whole-repo refactors, deep-research synthesis); Drop-in cheaper alternative to GLM-5.2 with comparable 1M context. The trade-off is the weaknesses we logged on the bench: Less polished than Fusion's panel-ensembled output on the toughest deep builds; Newer model — less community calibration vs Fable 5 / Opus 4.8.

How does Goldie Bench score Claude Opus 5 vs MiniMax M3?

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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