Local Model Benchmarks

Local test machine: Apple M5 Pro · 64 GB unified memoryRun window 29 September — 18 October 202622 recorded runs

Local models, tested beyond tokens.

Hands-on experiments on an Apple M5 Pro with 64 GB of memory. See what local models build, which checks pass, and how the model and runtime perform during the work.

Most tasks use one prompt, without manual fixes. Exceptions are recorded on the run sheet; cloud baselines are labelled separately.

Scene 4 of the promo on the site's accent blue: the label EVERY RUN, RECORDED, the headline Every session. Every token. Every second., a run sheet in a phone frame beside the counters 76 sessions, 1,437 requests and 41.4 tok/s, and the caption

Latest run · 18 October 2026

Local Model Benchmarks Promo

Qwen 3.8 Flash Next · Sushi 1.2.4 · Pi coding agent, driven by the task-loop orchestrator, with six HyperFrames skills

The orchestrator reached COMPLETE after 6 h 45 min with no operator action and no failed session, and the final reviewer accepted all 36 requirements on its first cycle. The render follows the storyboard and the site's design system and passes all 23 hidden acceptance cases. Artistically it is modest: it reads like an animated slide deck. Its opening photograph, a generated image from the supplied pack, is visibly AI-made.

Same prompt. Different results.

All experiments →
Whiteout Protocol TensorFold scene with the weapon, snowy arena and pause prompt visible

Whiteout Protocol

2 local runs · 1 cloud baseline

Wave survival, first-person combat and a snowy arena. Two local configurations and a cloud baseline attempted the same prompt.

Digger 3D voxel maze with the player, enemies and level HUD visible

Digger 3D

1 local run · 1 cloud baseline

Deterministic grid simulation, excavation and five levels in an isometric Three.js scene.

Hardball 3D TensorFold gameplay from behind the batter, with the inning scoreboard and field visible

Hardball 3D

2 local runs · 1 cloud baseline

Batting, pitching, fielding and a full inning. Compare the generated games and their recorded checks.

Obby 3D gameplay at stage one, showing the player, floating platforms and stage HUD

Obby 3D

2 local runs

A ten-stage third-person obstacle course with desktop and touch controls, checkpoints and varied hazards.

More from the test bench

Read the result, then the numbers.

What did the model produce?

Captures and playable builds show the output. Each run sheet lists the checks and limitations recorded for that execution.

What did the runtime measure?

Decode, prefill, latency and session totals answer different questions. Every measurement keeps its statistic, unit and sample count.