
Real head-to-head · same prompt, one shot
Grok vs Opus 4.8
Snappy + real-time — the X-native model. vs The reasoning king — deepest thinking, premium price.
Head-to-head verdict: Grok wins 22–8 with 13 ties.
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 Grok and Opus 4.8, 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.
Grok · Used for real-time content workflows where the model needs current X timeline context. Standalone bench scoring pending.
Opus 4.8 · The default when the build has to ship on the first prompt — Opus is the safety net inside Agent OS for hard one-shots.
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 ↓
Grok
Opus 4.8
Game
Game
Game
Game
Game
Game
Game
Game
Game
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Page
Where Grok beat Opus 4.8
The tasks where I gave Grok a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
Webos
Page
Grok 9.0
·
Opus 4.8 5.5
(+3.5)
· winner · ambitious desktop
What I saw: Web-OS desktop with wallpaper, dock, draggable resizable windows for Notes/Paint/Terminal/Calculator. 33KB — beats Fusion's 24KB attempt on density.
Pool
Game
Grok 8.0
·
Opus 4.8 5.5
(+2.5)
What I saw: Canvas2D billiards with 16 balls, pockets, click-drag aim + power. 16KB.
Game
Game
Grok 9.0
·
Opus 4.8 7.0
(+2.0)
· winner · juicy game
What I saw: Open-ended 'make a game' — Grok shipped a juicy 28KB build with score HUD, lives, sound, polish.
Rpg
Game
Grok 9.0
·
Opus 4.8 7.0
(+2.0)
· winner · top-down RPG
What I saw: 35KB top-down RPG with tilemap, walkable terrain, NPCs, combat, HP/MP UI, inventory. Beats Fusion's lighter 26KB attempt on density.
Twilightvale
Game
Grok 9.5
·
Opus 4.8 7.5
(+2.0)
· winner · open world depth
What I saw: Twilight Vale — 3D open-world RPG with hand-crafted village, NPCs, combat, day/night, weather, inventory. 38KB — densest build of the bench, edges out Fusion's 32KB.
Where Opus 4.8 beat Grok
The tasks where I gave Opus 4.8 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
Blackhole
Sim
Opus 4.8 9.0
·
Grok 8.0
(+1.0)
· winner · hit the brief
What I saw: Opus nailed it — a pure-black event horizon, a bright photon ring, and the disk bent up and over the top exactly like the film's lensing. GLM came in strong with a clean ring and a starfield warping past the hole. Kimi's disk is fine, but the background is a soft grey blur instea…
Fractal
Sim
Opus 4.8 8.5
·
Grok 7.5
(+1.0)
What I saw: All three are genuinely good. Kimi's is the jaw-dropper — a deep rainbow plunge into a seahorse spiral, dense with self-similar detail. Opus zooms smoothly into the seahorse valley with a tasteful cycling palette. GLM frames the whole iconic set in a fire palette with a live coor…
Arcade
Game
Opus 4.8 8.5
·
Grok 8.0
(+0.5)
· winner · game-feel
What I saw: All three shipped a genuinely juicy game. Opus's breakout had the most game-feel — particle bursts and a live combo. Kimi's breakout was clean and solid. GLM went its own way with fullscreen neon asteroids. The closest of the practical five.
Galaxy
Sim
Opus 4.8 8.5
·
Grok 8.0
(+0.5)
· winner · interactive 3D
What I saw: Opus built a proper interactive 3D galaxy — drag to orbit a 7,000-star cloud around a glowing core. Kimi's is the prettiest single frame: a clean tilted spiral disk with rainbow arms. GLM's runs on a canvas with a slick NGC-style HUD and zoom, just less dramatic at a glance. Thre…
Neoncity
Game
Opus 4.8 8.5
·
Grok 8.0
(+0.5)
What I saw: GLM's is the most cinematic — neon towers, a setting sun, Japanese signage and a flight HUD, like a frame from a film. Opus's is a clean canyon of lit skyscrapers racing to a vanishing point. Kimi leaned into the synthwave sun and grid more than the city itself. GLM wins the skyline.
Strengths & weaknesses I logged
Grok
Strengths
- Real-time access to X timeline data — unique signal no other model has
- Snappy latency on shorter prompts
- 256K context window keeps pace with the open-weights field
Trade-offs
- 13 demos on the bench but zero have curated 0–10 verdicts yet — currently unranked
- API access is gated behind X Premium, awkward for backend agent loops
Opus 4.8
Strengths
- Most consistent across the Goldie Bench bench — no weak build, 8.46/10 average
- Deepest one-shot reasoning, especially on game-feel and physics
- Extended thinking mode handles up to 1M tokens of context
Trade-offs
- 5–10× the per-token cost of every other model on the bench
- Less flair on cinematic visuals than GLM-5.2 — playing it safer wins on accuracy, costs you on showpiece moments
Pricing & context — the spec sheet
| Spec | Grok | Opus 4.8 |
|---|---|---|
| Vendor | xAI | Anthropic |
| Context window | 256,000 tokens | 200,000 tokens (1M with extended thinking) |
| Price | Subscription via X Premium | $15 / $75 per M tokens |
| Pricing detail | Bundled with X (Twitter) Premium subscription — no per-token bill for end users, no individual API pricing for the chat product. | Premium pricing via the Anthropic API: $15 per million input tokens, $75 per million output tokens. Extended thinking is included but adds latency. |
| Release | 2026-04 | 2026-05 |
| Bench coverage | 43/47 scored · avg 8.09/10 | 47/47 scored · avg 7.51/10 |
The verdict — which should you pick?
Across 43 scored shared tasks, Grok averaged 8.09/10, beating Opus 4.8's 7.60/10 by 0.49 points. Pick Grok 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 Grok and Opus 4.8 both into the Agent Operating System and dispatch each from the kanban by task type — workflows that need live x / twitter context → Grok, mission-critical one-shot builds where 'has to work the first time' matters → Opus 4.8. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.
FAQ — Grok vs Opus 4.8
Which is better, Grok or Opus 4.8?
On Goldie Bench, Grok averages 8.09/10 across the shared tasks, with 5 gold, 1 silver, 1 bronze overall. Opus 4.8 averages 7.60/10, with 3 gold, 1 silver, 1 bronze. Grok wins the head-to-head 22–8.
How much does Grok cost vs Opus 4.8?
Grok: Bundled with X (Twitter) Premium subscription — no per-token bill for end users, no individual API pricing for the chat product. Opus 4.8: Premium pricing via the Anthropic API: $15 per million input tokens, $75 per million output tokens. Extended thinking is included but adds latency.
What's the context window for Grok vs Opus 4.8?
Grok has a 256,000 tokens context window. Opus 4.8 has a 200,000 tokens (1M with extended thinking) context window.
When should I pick Grok over Opus 4.8?
Pick Grok for: Workflows that need live X / Twitter context; Snappy prompts where latency matters; Researchers comparing X-native models against the rest of the field. The trade-off is the weaknesses we logged on the bench: 13 demos on the bench but zero have curated 0–10 verdicts yet — currently unranked; API access is gated behind X Premium, awkward for backend agent loops.
When should I pick Opus 4.8 over Grok?
Pick Opus 4.8 for: Mission-critical one-shot builds where 'has to work the first time' matters; Hard reasoning tasks (planning, multi-step) where you'll pay for the depth; Anything where vendor reliability beats the per-token bill. The trade-off is the weaknesses we logged on the bench: 5–10× the per-token cost of every other model on the bench; Less flair on cinematic visuals than GLM-5.2 — playing it safer wins on accuracy, costs you on showpiece moments.
How does Goldie Bench score Grok vs Opus 4.8?
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:
Grok vs Fusion Opus 4.8 vs Fusion Grok vs Claude Opus 5 Opus 4.8 vs Claude Opus 5 Grok vs Hermes MoA Opus 4.8 vs Hermes MoA Grok vs GPT-5.6 Sol Opus 4.8 vs GPT-5.6 SolFull model pages: Grok · Opus 4.8 · 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













































