
MiMo-V2.6 Pro vs Grok 4.6
Open weights that score level with Opus 5 on agents, for cents. vs Frontier intelligence at half the frontier price.
Head-to-head verdict: Grok 4.6 wins 12–8.
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 MiMo-V2.6 Pro and Grok 4.6, side by side, on 20 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.
MiMo-V2.6 Pro · Benched on all 50 GoldieBench tasks through OpenRouter at the model's default reasoning effort: one-shot build, real rendered poster, Opus 4.8 vision judge, game tasks skill-infused. No retries, no hand fixes; the broken builds are scored as they shipped.
Grok 4.6 · Benched on 16 skill-infused game builds, every one played through its full gameplay arc before scoring, then the broken ones were handed back to Grok 4.6 to repair itself.
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 = 🥉).
Where MiMo-V2.6 Pro beat Grok 4.6
The tasks where I gave MiMo-V2.6 Pro a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
What I saw: Strong render: clean voxel terrain with proper grass/dirt/stone textures, trees, first-person hand, full hotbar with 9 block types, and a polished HUD showing vitals, day/night clock, biome, and score badges. The cohesive dark-cyan monospace UI theme plus visible day/night cycle …
What I saw: Renders a clean low-poly open world with atmospheric sunset fog, functional HUD (compass, three arc meters, kill tracker), and a Skyrim-flavored ring-of-stones landmark; strong presentation but the oversized/clipping first-person weapon model dominates the frame and looks unpolis…
What I saw: Renders a gorgeous low-poly 3D world with detailed player jet, chase cam, floating clouds, terrain props, an enemy bogey in view, and a fully realized HUD (radar, throttle, afterburner, hull). Cohesive military-flight aesthetic and rich mechanics make this a task-topper; only min…
What I saw: Strong render with a detailed 3D aircraft, textured terrain with trees, and a polished full HUD (heading tape, attitude ball, flight data, powerplant, mission strip) that clearly matches the takeoff/circuit/land brief. Slight concern that the model looks slightly odd from this re…
What I saw: Gorgeous rendered scene—gradient cyberpunk sky, dense emissive-window skyscrapers, overpass structures, neon road glow and a detailed player craft with full combat HUD, minimap, bolts and 'RAM IMPACT' feedback all working; the polished driving-shooter loop clearly beats the gener…
Where Grok 4.6 beat MiMo-V2.6 Pro
The tasks where I gave Grok 4.6 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
What I saw: Third-person street level with a real armed character model, long cast shadows, a sunset skybox, pedestrians and parked cars down the block, plus a grid minimap. Played 12s: AMMO went 11 to 09 and SCORE 000010 to 000030 on click-fire, so shooting and scoring are wired. World is b…
What I saw: Strong synthwave scene with glowing pink rails, palm/building environment, retro sun, and a clean 3D ship plus polished HUD (armor/speed/boost, score, IMPACT banner). Vapor-trail particle effects aren't clearly visible in this shot, keeping it just shy of the field's best.
What I saw: Top-down Ember Vale with broken columns, trees, scattered loot, slime enemies and a dense minimap; HUD carries vitality, stamina, elixirs, relics, gold and renown. Played 15s: VITALITY dropped 100 to 091 from enemy contact. Held back by the camera sitting so high that the hero re…
What I saw: Drivable city sandbox: multi-part orange sedan with taillights, lit tower blocks, marked roads, traffic cars, street lamps, a live minimap and a wanted-star row. Played 15s: MPH read 000 then 071 then 016 through accelerate-and-brake, so the driving model integrates properly. Lig…
What I saw: Moody twilight forest with a caped knight carrying a visible sword, purple crystal enemies that close on you, pines, rocks and a live minimap. Played 20s: SHARDS went 0/7 to 1/7, SCORE to 00310 and VIT fell 100 to 006 because the enemies deal damage. Real combat loop, just very p…
Strengths & weaknesses I logged
MiMo-V2.6 Pro
Strengths
- Simulations and visual pieces are top-tier one-shots: the black hole lensing scored 9.0 and the matrix rain, lava lamp, ocean waves, web desktop, boids and galaxy all landed 8.6 or higher
- Strong flight and driving output when the build holds together: a polished 3D dogfight (8.6), a flight sim (8.4) and the synthwave outrun (8.4)
- Big, complete files: builds ran 30 to 70 KB with full HUDs, control hints and settings panels
- The weights are MIT and on Hugging Face, so the same model can run on your own hardware
Trade-offs
- 18 of 50 builds scored under 5: long game files shipped with garbled tokens (a stray 'martin' or 'martial' identifier breaks the whole script), uninitialised references and bad canvas values, so the HUD paints but the 3D scene stays black
- Two hard crashes: the RPG threw an engine fault on load and the solar system rendered nothing at all
- It reasons for a long time at default effort: builds took 5 to 60 minutes each through OpenRouter
Grok 4.6
Strengths
- Ties GPT-5.6 Sol at 61 on the Artificial Analysis Intelligence Index, one point behind Claude Fable 5 Max
- Trained with agentic reinforcement learning for long-running agents, so it holds a spec across a 40KB single-file build
- Fixes its own broken builds: handed the exact runtime error, it repaired 4 of 4 failed games on the first retry
- Very strong arcade and shooter output - the synthwave racer and the Doom raycaster are top-tier one-shots
Trade-offs
- Flight models are its weak spot: both the flight sim and the dogfight shipped unflyable on the first pass
- Two of sixteen game builds died on a hard error (a duplicate identifier and a bad computeBoundingSphere call)
- Worlds are lit and composed but usually untextured, so terrain reads as flat coloured planes
Pricing & context — the spec sheet
| Spec | MiMo-V2.6 Pro | Grok 4.6 |
|---|---|---|
| Vendor | Xiaomi | xAI |
| Context window | 1,000,000 tokens | 500,000 tokens |
| Price | $0.435 in / $0.87 out per M tokens | $2 in / $6 out per M tokens |
| Pricing detail | Xiaomi's September 2026 open-weight flagship (MIT licence, 1.02T total / 42B active parameters). $0.435 per million input tokens and $0.87 per million output on OpenRouter, with cache hits at a fraction of a cent, which is roughly a quarter of Grok 4.7 and a twentieth of the closed frontier models it scores level with on agent benchmarks. | xAI's August 2026 flagship. $2 per million input tokens and $6 per million output tokens on the standard tier (the Fast tier is double), which is roughly half what the other frontier models charge for the same Artificial Analysis Intelligence Index score of 61. |
| Release | 2026-09 | 2026-08 |
| Bench coverage | 50/50 scored · avg 6.35/10 | 20/20 scored · avg 5.95/10 |
The verdict — which should you pick?
Across 20 scored shared tasks, Grok 4.6 averaged 5.95/10, beating MiMo-V2.6 Pro's 5.38/10 by 0.57 points. Pick Grok 4.6 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 MiMo-V2.6 Pro and Grok 4.6 both into the Agent Operating System and dispatch each from the kanban by task type — simulations, shaders and visual scenes in one shot, at a fraction of frontier prices → MiMo-V2.6 Pro, high-volume agent work where the per-token bill decides what you can afford to run → Grok 4.6. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.
FAQ — MiMo-V2.6 Pro vs Grok 4.6
Which is better, MiMo-V2.6 Pro or Grok 4.6?
On Goldie Bench, MiMo-V2.6 Pro averages 5.38/10 across the shared tasks, with 5 gold, 8 silver, 4 bronze overall. Grok 4.6 averages 5.95/10, with 1 gold, 0 silver, 0 bronze. Grok 4.6 wins the head-to-head 12–8.
How much does MiMo-V2.6 Pro cost vs Grok 4.6?
MiMo-V2.6 Pro: Xiaomi's September 2026 open-weight flagship (MIT licence, 1.02T total / 42B active parameters). $0.435 per million input tokens and $0.87 per million output on OpenRouter, with cache hits at a fraction of a cent, which is roughly a quarter of Grok 4.7 and a twentieth of the closed frontier models it scores level with on agent benchmarks. Grok 4.6: xAI's August 2026 flagship. $2 per million input tokens and $6 per million output tokens on the standard tier (the Fast tier is double), which is roughly half what the other frontier models charge for the same Artificial Analysis Intelligence Index score of 61.
What's the context window for MiMo-V2.6 Pro vs Grok 4.6?
MiMo-V2.6 Pro has a 1,000,000 tokens context window. Grok 4.6 has a 500,000 tokens context window.
When should I pick MiMo-V2.6 Pro over Grok 4.6?
Pick MiMo-V2.6 Pro for: Simulations, shaders and visual scenes in one shot, at a fraction of frontier prices; High-volume agent work where an open, MIT-licensed model matters; Pair it with a self-fix loop for games: the failures are single broken tokens, not missing ideas. The trade-off is the weaknesses we logged on the bench: 18 of 50 builds scored under 5: long game files shipped with garbled tokens (a stray 'martin' or 'martial' identifier breaks the whole script), uninitialised references and bad canvas values, so the HUD paints but the 3D scene stays black; Two hard crashes: the RPG threw an engine fault on load and the solar system rendered nothing at all; It reasons for a long time at default effort: builds took 5 to 60 minutes each through OpenRouter.
When should I pick Grok 4.6 over MiMo-V2.6 Pro?
Pick Grok 4.6 for: High-volume agent work where the per-token bill decides what you can afford to run; Arcade, shooter and driving builds in one shot; Self-repair loops - it is unusually good at fixing a build when you hand it the real error. The trade-off is the weaknesses we logged on the bench: Flight models are its weak spot: both the flight sim and the dogfight shipped unflyable on the first pass; Two of sixteen game builds died on a hard error (a duplicate identifier and a bad computeBoundingSphere call); Worlds are lit and composed but usually untextured, so terrain reads as flat coloured planes.
How does Goldie Bench score MiMo-V2.6 Pro vs Grok 4.6?
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:
MiMo-V2.6 Pro vs Fusion Grok 4.6 vs Fusion MiMo-V2.6 Pro vs Claude Opus 5 Grok 4.6 vs Claude Opus 5 MiMo-V2.6 Pro vs Hermes MoA Grok 4.6 vs Hermes MoA MiMo-V2.6 Pro vs GPT-5.6 Sol Grok 4.6 vs GPT-5.6 SolFull model pages: MiMo-V2.6 Pro · Grok 4.6 · back to the leaderboard
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.










































