
Real head-to-head · same prompt, one shot
Claude Sonnet 5 vs MiMo-V2.6 Pro
The agentic SWE frontier — 82% SWE-bench Verified, Dev Team mode. vs Open weights that score level with Opus 5 on agents, for cents.
Head-to-head verdict: MiMo-V2.6 Pro wins 24–19 with 4 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 Claude Sonnet 5 and MiMo-V2.6 Pro, 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 Sonnet 5 · Reach for it in Agent OS when the job is iterative, tool-using software engineering. For one-shot visual builds, GLM 5.2 (free) beat it 4-1 here.
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.
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 Sonnet 5
MiMo-V2.6 Pro
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Where Claude Sonnet 5 beat MiMo-V2.6 Pro
The tasks where I gave Claude Sonnet 5 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
Rpg
Game
Claude Sonnet 5 7.4
·
MiMo-V2.6 Pro 1.5
(+5.9)
What I saw: Clean render with a readable 3D top-down world—billboard player/slime sprites, HP bar, XP, inventory slots and clear controls all present and on-brief; but the scene feels sparse/empty with sprawling green fields, few obstacles and no visible combat action, keeping it solid-shipp…
Fluid
Sim
Claude Sonnet 5 8.6
·
MiMo-V2.6 Pro 3.0
(+5.6)
· gorgeous flow field
What I saw: Stunning rendered flow-field with rich swirling particle streaks, a clear vortex focal point, and vivid rainbow color mapping over additive-blended trails — genuinely beautiful and clearly on-brief. Only knock is the low 22fps and it's a flow-field trail sim rather than true flui…
Pathtracer
Sim
Claude Sonnet 5 8.6
·
MiMo-V2.6 Pro 3.0
(+5.6)
· Converged Cornell box
What I saw: Renders a genuine progressively-converged Cornell box with correct red/green colored-wall bleed, a diffuse yellow sphere, and convincing glass and metal spheres showing refraction/reflection at 163 samples — physically-plausible and clearly on-brief. Minor grain and the truncated…
Synthwave
Visual
Claude Sonnet 5 8.4
·
MiMo-V2.6 Pro 3.0
(+5.4)
What I saw: Gorgeous, on-brief synthwave scene with striped sun, layered mountains, glowing neon title and a warm-to-purple gradient grid that reads beautifully; only knock is a visible rectangular artifact around the sun (the sky plane/glow seam) that slightly breaks the polish.
Racing
Game
Claude Sonnet 5 8.2
·
MiMo-V2.6 Pro 3.0
(+5.2)
What I saw: Strong, clean third-person render with proper checkered finish line, striped curbs, low-poly trees, HUD, and a functioning minimap showing scattered obstacles; polished and shippable but the ring track and generic box-car keep it just short of the field's best.
Where MiMo-V2.6 Pro beat Claude Sonnet 5
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.
Wormhole
Sim
MiMo-V2.6 Pro 8.6
·
Claude Sonnet 5 3.0
(+5.6)
· Neon curved tunnel
What I saw: Strong render: gorgeous magenta/cyan gradient tunnel with visible curvature, glowing energy rings, floating shards, and a bright portal, backed by a polished glassmorphic HUD with live velocity/distance/curvature readouts. Only minor nit is the grid rings read slightly wireframe …
Orbit
Sim
MiMo-V2.6 Pro 8.6
·
Claude Sonnet 5 3.5
(+5.1)
· polished 3D N-body
What I saw: Beautifully rendered 3D scene with a glowing star, ringed planet, colored bodies with trails, plus a rich telemetry panel (67 bodies, total energy, sim rate, FPS) and full control bar — clearly on-brief and highly polished. Minor nit: selection radius reads 0.0, but overall it ma…
Blackhole
Sim
MiMo-V2.6 Pro 9.0
·
Claude Sonnet 5 5.0
(+4.0)
· physically-accurate lensing
What I saw: Stunning null-geodesic ray-traced render with convincing photon ring, Doppler-beamed disk warping over/under the shadow, and a swirling lensed starfield — the physics HUD (photon sphere, ISCO, critical curve) is grounded and the whole thing reads at 60fps. Ties the field best; on…
Lavalamp
Visual
MiMo-V2.6 Pro 8.7
·
Claude Sonnet 5 5.5
(+3.2)
· raymarched lava lamp
What I saw: Gorgeous raymarched metaball lava lamp with a proper glass vessel, cap, base, warm bulb glow and molten blobs at varied heights — clearly reads as an authentic lava lamp; the classic silhouette, glass refraction and polished typography make this a top-tier entry.
Flightsim
Game
MiMo-V2.6 Pro 8.4
·
Claude Sonnet 5 5.5
(+2.9)
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…
Strengths & weaknesses I logged
Claude Sonnet 5
Strengths
- 82.1% SWE-bench Verified — first model past 80% on real GitHub-issue repair
- Dev Team multi-agent mode + 1M context for repo-level agentic work
- Precision on hard logic — won the raycaster the open-weight field kept botching
Trade-offs
- One-shot creative-visual builds trail GLM 5.2 here (lost 4 of 5) — no iteration to catch its own bugs
- A temporal-dead-zone bug blanked its N-body orbit sim on the first shot
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
Pricing & context — the spec sheet
| Spec | Claude Sonnet 5 | MiMo-V2.6 Pro |
|---|---|---|
| Vendor | Anthropic | Xiaomi |
| Context window | 1,000,000 tokens | 1,000,000 tokens |
| Price | $3 / $15 per M ($2/$10 intro) | $0.435 in / $0.87 out per M tokens |
| Pricing detail | $3.00 input / $15.00 output per million tokens; introductory $2.00/$10.00 through 2026-08-31. | 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. |
| Release | 2026-06-30 | 2026-09 |
| Bench coverage | 47/47 scored · avg 7.01/10 | 50/50 scored · avg 6.35/10 |
The verdict — which should you pick?
Across 47 scored shared tasks, Claude Sonnet 5 averaged 7.01/10, beating MiMo-V2.6 Pro's 6.33/10 by 0.69 points. Pick Claude Sonnet 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 Sonnet 5 and MiMo-V2.6 Pro both into the Agent Operating System and dispatch each from the kanban by task type — agentic software engineering — write / run / test / fix loops on real repos → Claude Sonnet 5, simulations, shaders and visual scenes in one shot, at a fraction of frontier prices → MiMo-V2.6 Pro. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.
FAQ — Claude Sonnet 5 vs MiMo-V2.6 Pro
Which is better, Claude Sonnet 5 or MiMo-V2.6 Pro?
On Goldie Bench, Claude Sonnet 5 averages 7.01/10 across the shared tasks, with 0 gold, 0 silver, 4 bronze overall. MiMo-V2.6 Pro averages 6.33/10, with 5 gold, 8 silver, 4 bronze. MiMo-V2.6 Pro wins the head-to-head 24–19.
How much does Claude Sonnet 5 cost vs MiMo-V2.6 Pro?
Claude Sonnet 5: $3.00 input / $15.00 output per million tokens; introductory $2.00/$10.00 through 2026-08-31. 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.
What's the context window for Claude Sonnet 5 vs MiMo-V2.6 Pro?
Claude Sonnet 5 has a 1,000,000 tokens context window. MiMo-V2.6 Pro has a 1,000,000 tokens context window.
When should I pick Claude Sonnet 5 over MiMo-V2.6 Pro?
Pick Claude Sonnet 5 for: Agentic software engineering — write / run / test / fix loops on real repos; Repo-level reasoning across a 1M-token context (Dev Team multi-agent mode); Precise logic — raycasters, physics — where one-shot open models slip. The trade-off is the weaknesses we logged on the bench: One-shot creative-visual builds trail GLM 5.2 here (lost 4 of 5) — no iteration to catch its own bugs; A temporal-dead-zone bug blanked its N-body orbit sim on the first shot.
When should I pick MiMo-V2.6 Pro over Claude Sonnet 5?
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.
How does Goldie Bench score Claude Sonnet 5 vs MiMo-V2.6 Pro?
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:
Claude Sonnet 5 vs Fusion MiMo-V2.6 Pro vs Fusion Claude Sonnet 5 vs Claude Opus 5 MiMo-V2.6 Pro vs Claude Opus 5 Claude Sonnet 5 vs Hermes MoA MiMo-V2.6 Pro vs Hermes MoA Claude Sonnet 5 vs GPT-5.6 Sol MiMo-V2.6 Pro vs GPT-5.6 SolFull model pages: Claude Sonnet 5 · MiMo-V2.6 Pro · 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














































