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

Grok 4.7 vs Inkling

Grok 4.6's price, a bigger base model, and it builds games that hold together. vs A 975B open-weights frontier model — yours to own and run.

Head-to-head verdict: Grok 4.7 wins 8–3.

Grok 4.7 · context500K tokens
Inkling · context1M tokens
Grok 4.7 · price$2 in / $6 out per M tokens
Inkling · price$0.33 / M
Grok 4.7 · vendorxAI
Inkling · vendorThinking Machines

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 4.7 and Inkling, side by side, on 11 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 4.7 · Wired into the Agent OS Grok Build tab (4.7 / 4.6 / 4.5 picker, OpenRouter fallback when the CLI is signed out) and benched on twenty skill-infused game builds, each played through its full gameplay arc on a Metal GPU before the vision judge scored the played frame.

Inkling · Benched on GoldieBench one-shot through Tinker's OpenAI-compatible endpoint at medium reasoning effort, then headless-playtested on the same rubric as the whole field. In the Agent OS it's wired into the opencode tab on your own Tinker key — the Ink Machine.

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 ↓
Grok 4.7
Inkling
Game
🥈Grok 4.7 on Arcade
Inkling on Arcade
Game
Grok 4.7 on Crypt
Inkling on Crypt
Game
Grok 4.7 on Dogfight
Inkling on Dogfight
Game
Grok 4.7 on Doom
Inkling on Doom
🥉Grok 4.7 on Dragonrealm
Inkling on Dragonrealm
Game
🥉Grok 4.7 on Flightsim
Inkling on Flightsim
Game
Grok 4.7 on Gtadrive
Inkling on Gtadrive
Game
Grok 4.7 on Rpg
Inkling on Rpg
Game
Grok 4.7 on Skyrim
Inkling on Skyrim
Grok 4.7 on Twilightvale
Inkling on Twilightvale
Game
Grok 4.7 on Voxelcraft
Inkling on Voxelcraft
— not attempted —
Inkling on Dragonflight
Game
— not attempted —
Inkling on Game
Game
— not attempted —
Inkling on Gtafoot
— not attempted —
Inkling on Neonblaster
Game
— not attempted —
Inkling on Neoncity
Game
— not attempted —
Inkling on Neonracer
— not attempted —
Inkling on Nordiccrypt
Game
— not attempted —
Inkling on Outrun
Game
— not attempted —
Inkling on Parachute
Game
— not attempted —
Inkling on Pool
Game
— not attempted —
Inkling on Racing
Game
— not attempted —
Inkling on Raycaster
Other
— not attempted —
Inkling on Matrixrain

Where Grok 4.7 beat Inkling

The tasks where I gave Grok 4.7 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.

Flightsim Game
Grok 4.7 8.5 · Inkling 3.5 (+5.0) · polished flight HUD

What I saw: Strong render with a detailed 3D airport (runway, hangar, apron truck), clean chase-cam plane, and a rich professional HUD (heading tape, artificial horizon, IAS/ALT/VS gauges); playtest confirms real takeoff physics — throttle to 100, IAS ramping 55→146kt, ALT climbing 1→236m wi…

Rpg Game
Grok 4.7 8.2 · Inkling 4.0 (+4.2)

What I saw: Strong, atmospheric top-down RPG with a polished themed HUD (vit/dash/relics/inventory/minimap), 3D low-poly world, enemies and interactive seals — HUD evidence shows gold/score/vit all progressing and combat context living. Loses some points because VIT dropped steadily toward d…

Grok 4.7 8.3 · Inkling 4.5 (+3.8)

What I saw: Renders a polished twilight open-world with terrain, water pool, scattered trees/monoliths, relics, minimap, and a functional combat loop — HUD shows score climbing, a relic collected, VITAL dropping from a WARDEN fight, all confirming real progression. Strong and shippable, but …

Grok 4.7 8.6 · Inkling 6.3 (+2.3) · Frozen realm winner

What I saw: Gorgeous polished frozen scene — aurora sky, snowy hills, low-poly pines, standing stones, a caped character with sheathed sword, and a working HUD with compass/dragon counter; playtest shows real movement (walkPx 0.58), dragon-dive events, and a STRUCK combat state, hitting the …

Skyrim Game
Grok 4.7 8.4 · Inkling 6.3 (+2.1) · snowy shrine explorer

What I saw: Renders a polished, atmospheric first-person Skyrim-lite with soft-shadowed low-poly pines, standing stones, held sword+shield, a working minimap, and a rich RPG HUD (health/stamina/shards/shrines/altitude). Playtest confirms real movement, altitude climbing, and HP dropping from…

Where Inkling beat Grok 4.7

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

Voxelcraft Game
Inkling 7.2 · Grok 4.7 2.2 (+5.0)

What I saw: Renders a clean, colorful voxel terrain with nice shadows, gradient title, and polished HUD; but the flat pastel palette looks more candy than Minecraft, placement only works on y=0 ground plane, and the pointermove-based 'orbit' fights every click since dragging is never gated —…

Dogfight Game
Inkling 6.8 · Grok 4.7 6.3 (+0.5)

What I saw: Clean neon HUD, functional core loop (mouse-follow, shooting, spawns, collisions/lives), but visually thin — the player 'plane' reads as a flat pink block and clouds are drab boxes with no dogfight drama or enemies visible in frame. Works and is polished at the UI level but gener…

Crypt Game
Inkling 2.5 · Grok 4.7 2.3 (+0.2)

What I saw: The 3D scene fails to render — the canvas is entirely black with only the UI overlay (title, hint, controls) visible, because the code calls `wallGeo(w,h,d)` as a function when `wallGeo` is a BoxGeometry instance, throwing an error that halts scene setup. Nice atmospheric typogra…

Strengths & weaknesses I logged

Grok 4.7

Strengths

  • Averaged 6.86/10 on the same twenty skill-infused game briefs where Grok 4.6 averaged 5.63, winning 8 of the 11 head-to-heads
  • Best one-shots on this run: arcade (8.6), dragonrealm (8.6), flightsim (8.5), every one played on a real GPU before scoring
  • Longer reinforcement learning shows: it holds a 40-50KB single-file spec and wires the controls it advertises
  • xAI's own coding numbers moved: CursorBench 4.0 46.3% (from 40.4%) and DeepSWE v1.1 71.0% (from 65.2%)

Trade-offs

  • 2 of 20 builds died on load or never moved when played — crypt: hud is not a function; voxelcraft: mesh.computeBoundingSphere is not a function file:///Users/j
  • Independent Artificial Analysis Intelligence Index v4.3.2 puts it at 46, seven points behind Claude Fable 5.1 and GPT-6 at 53
  • Terminal-Bench 4.0 is the weak spot xAI reports itself: 38.0% at launch

Inkling

Strengths

  • Genuinely open-weights — the full 975B model is public on Hugging Face; run it on your own key, no black box
  • Best one-shot builds are 2D / animation / web — a matrix-rain that topped its task (8.4), plus arcade, fractal, aurora and a mini web-OS all judged shippable (7.6–8.2)
  • Frontier-class agentic coding for an open model — 77.6% SWE-bench Verified, ahead of Nemotron 3 Ultra
  • 1M-token context, native multimodal (text/image/audio), and a controllable thinking-effort dial

Trade-offs

  • One-shot 3D games are weak — three.js dungeons/racers render a title screen but no playable scene, like most open models (crypt 2.5)
  • Physics and particle sims are hit-or-miss — black-hole, plasma and cloth one-shots often render dark or static (2.3–3.5)
  • Not the strongest overall — the closed frontier (Fable 5) still tops the raw benchmarks; Inkling trades peak for ownership

Pricing & context — the spec sheet

Spec Grok 4.7 Inkling
VendorxAIThinking Machines
Context window500,000 tokens1,000,000 tokens
Price$2 in / $6 out per M tokens$0.33 / M
Pricing detailxAI's September 2026 release, priced exactly like Grok 4.6: $2 per million input tokens and $6 per million output on the standard tier, $4 / $12 on the Fast tier (double the output speed). OpenRouter lists the same model at $1.60 / $4.80.Inkling is open-weights — a 975B-parameter (41B active) Mixture-of-Experts model whose full weights are public on Hugging Face. You run it on your own key through Tinker's OpenAI-compatible endpoint (usage-based, ~$0.33/M sampling, 50% off at launch), or via Together / Fireworks / Modal / Databricks / Baseten. Benched here one-shot at medium reasoning effort via Tinker.
Release2026-092026-07
Bench coverage11/11 scored · avg 6.86/1050/50 scored · avg 6.07/10

The verdict — which should you pick?

Across 11 scored shared tasks, Grok 4.7 averaged 6.86/10, beating Inkling's 5.48/10 by 1.38 points. Pick Grok 4.7 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 4.7 and Inkling both into the Agent Operating System and dispatch each from the kanban by task type — one-shot arcade, driving and shooter builds where the whole game has to arrive in a single file → Grok 4.7, owning a frontier model instead of renting one — on your own key, pennies per build → Inkling. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Grok 4.7 vs Inkling

Which is better, Grok 4.7 or Inkling?

On Goldie Bench, Grok 4.7 averages 6.86/10 across the shared tasks, with 0 gold, 1 silver, 2 bronze overall. Inkling averages 5.48/10, with 0 gold, 0 silver, 0 bronze. Grok 4.7 wins the head-to-head 8–3.

How much does Grok 4.7 cost vs Inkling?

Grok 4.7: xAI's September 2026 release, priced exactly like Grok 4.6: $2 per million input tokens and $6 per million output on the standard tier, $4 / $12 on the Fast tier (double the output speed). OpenRouter lists the same model at $1.60 / $4.80. Inkling: Inkling is open-weights — a 975B-parameter (41B active) Mixture-of-Experts model whose full weights are public on Hugging Face. You run it on your own key through Tinker's OpenAI-compatible endpoint (usage-based, ~$0.33/M sampling, 50% off at launch), or via Together / Fireworks / Modal / Databricks / Baseten. Benched here one-shot at medium reasoning effort via Tinker.

What's the context window for Grok 4.7 vs Inkling?

Grok 4.7 has a 500,000 tokens context window. Inkling has a 1,000,000 tokens context window.

When should I pick Grok 4.7 over Inkling?

Pick Grok 4.7 for: One-shot arcade, driving and shooter builds where the whole game has to arrive in a single file; High-volume agent work priced at half what the other frontier models charge; Grok Build inside the Agent OS: pick 4.7 in the tab and everything it writes lands in the workspace. The trade-off is the weaknesses we logged on the bench: 2 of 20 builds died on load or never moved when played — crypt: hud is not a function; voxelcraft: mesh.computeBoundingSphere is not a function file:///Users/j; Independent Artificial Analysis Intelligence Index v4.3.2 puts it at 46, seven points behind Claude Fable 5.1 and GPT-6 at 53; Terminal-Bench 4.0 is the weak spot xAI reports itself: 38.0% at launch.

When should I pick Inkling over Grok 4.7?

Pick Inkling for: Owning a frontier model instead of renting one — on your own key, pennies per build; Generative visuals, data-viz and single-file web builds you want one-shot; A customizable open base you can fine-tune on Tinker for your own domain. The trade-off is the weaknesses we logged on the bench: One-shot 3D games are weak — three.js dungeons/racers render a title screen but no playable scene, like most open models (crypt 2.5); Physics and particle sims are hit-or-miss — black-hole, plasma and cloth one-shots often render dark or static (2.3–3.5); Not the strongest overall — the closed frontier (Fable 5) still tops the raw benchmarks; Inkling trades peak for ownership.

How does Goldie Bench score Grok 4.7 vs Inkling?

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
258documented wins
38countries
$59/momonthly