
Real head-to-head · same prompt, one shot
MiniMax M3 vs Claude Opus 5
1M-context frontier model at $0.30/M tokens — cheapest big-context model on the bench. vs The new Anthropic flagship — benched on all 45 one-shot builds the day it landed.
Head-to-head verdict: MiniMax M3 wins 12–1.
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 MiniMax M3 and Claude Opus 5, side by side, on 22 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.
MiniMax M3 · Bench prompts dispatched via OpenRouter. Scored by Claude judge against the same 42 prompts every other model ran.
Claude Opus 5 · Benched on all 45 GoldieBench tasks via API on release day, incremental deploys as scores landed.
Side-by-side on 47 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 ↓
MiniMax M3
Claude Opus 5
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— not attempted —
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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.
Crypt
Game
MiniMax M3 8.5
·
Claude Opus 5 2.0
(+6.5)
What I saw: Nordic dungeon crawler on three.js — torch-lit corridors, skeletons.
Neonracer
Game
MiniMax M3 8.0
·
Claude Opus 5 2.0
(+6.0)
What I saw: Top-down neon racer with vapor trails + drift physics + lap timer.
Game
Game
MiniMax M3 8.0
·
Claude Opus 5 2.5
(+5.5)
What I saw: M3 chose an arcade build with HUD + score + lives + sound effects.
Gtafoot
Game
MiniMax M3 8.0
·
Claude Opus 5 2.5
(+5.5)
What I saw: 30KB · plays clean · three, webgl (re-rolled)
Flightsim
Game
MiniMax M3 8.0
·
Claude Opus 5 3.0
(+5.0)
What I saw: 28KB · plays clean · three, webgl
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.
Gtadrive
Game
Claude Opus 5 8.4
·
MiniMax M3 8.0
(+0.4)
· polished neon driving
What I saw: Gorgeous cohesive art direction — detailed low-poly car with wheels/shadow, layered cityscape, refined HUD with integrity/velocity/wanted stars and a live minimap showing cop (red) and player markers plus traffic (purple car visible). Pursuit=2 and full control set (fire/steal/bo…
Strengths & weaknesses I logged
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
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
Pricing & context — the spec sheet
| Spec | MiniMax M3 | Claude Opus 5 |
|---|---|---|
| Vendor | MiniMax | Anthropic |
| Context window | 1,048,576-token context — matches GLM-5.2 and Fable 5 | 1,000,000 tokens |
| Price | $0.30 / 1M input tokens, $1.50 / 1M output | $5 / $25 per M |
| Pricing detail | 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. | 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. |
| Release | 2026-06-18 | 2026-07 |
| Bench coverage | 47/47 scored · avg 7.97/10 | 13/22 scored · avg 5.60/10 |
The verdict — which should you pick?
Across 13 scored shared tasks, MiniMax M3 averaged 8.19/10, beating Claude Opus 5's 5.60/10 by 2.59 points. Pick MiniMax M3 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 MiniMax M3 and Claude Opus 5 both into the Agent Operating System and dispatch each from the kanban by task type — high-volume agent workflows where per-call cost dominates → MiniMax M3, hardest agentic builds → Claude Opus 5. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.
FAQ — MiniMax M3 vs Claude Opus 5
Which is better, MiniMax M3 or Claude Opus 5?
On Goldie Bench, MiniMax M3 averages 8.19/10 across the shared tasks, with 2 gold, 1 silver, 5 bronze overall. Claude Opus 5 averages 5.60/10, with 0 gold, 0 silver, 1 bronze. MiniMax M3 wins the head-to-head 12–1.
How much does MiniMax M3 cost vs Claude Opus 5?
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. 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.
What's the context window for MiniMax M3 vs Claude Opus 5?
MiniMax M3 has a 1,048,576-token context — matches GLM-5.2 and Fable 5 context window. Claude Opus 5 has a 1,000,000 tokens context window.
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.
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.
How does Goldie Bench score MiniMax M3 vs Claude Opus 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.
Related comparisons
Other head-to-heads using the same scoring system:
MiniMax M3 vs Fusion Claude Opus 5 vs Fusion MiniMax M3 vs Hermes MoA Claude Opus 5 vs Hermes MoA MiniMax M3 vs GPT-5.6 Sol Claude Opus 5 vs GPT-5.6 Sol MiniMax M3 vs Claude Fable 5 Claude Opus 5 vs Claude Fable 5Full model pages: MiniMax M3 · Claude Opus 5 · back to the leaderboard
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
258documented wins
38countries
$59/momonthly



































