Local Model Benchmarks

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

3 October 2026 · Agentic game · browser FPS

Whiteout Protocol · GPT-6 Luna

Session completed Cloud baseline

Codex completed the one-shot task and produced a static Whiteout Protocol browser FPS build. No independent gameplay acceptance score is assigned.

GPT-6 Luna Whiteout Protocol gameplay from the first-person view
Whiteout Protocol · GPT-6 Luna build · gameplay capture

What was checked

  • The Codex session log records a successful Vite production build; its emitted bundle filenames match the archived static artifact.

Limits of this evidence

The public record excludes the original prompt, Codex transcript, session log, session identifier, local source paths, and tool arguments/results. Cached input is a subset of cumulative input; reasoning output is a subset of output.

Configuration

The model, serving engine and agent used for this execution.

Recorded configuration and setup details
FieldValueDetail
Model · cloud_baselineGPT-6 Luna · cloud_baseline · reasoning xhigh—
RuntimeOpenAI hosted inference Provider-managed service; exact build not exposedinference engine and exact build
HarnessOpenAI Codexthe agent or client that drove the run
HardwareProvider-managed cloud inference; physical host not disclosedhardware recorded for this execution
WorkloadWhiteout Protocol · revision 1One-shot coding challenge. The prompt file was byte-identical to the local Sushi Whiteout run; the original prompt is excluded from this archive.
Repetitions1executions recorded for this workload; one means an indicative result, not an estimate

Agent session counters

Agent-wide usage totals. These include reasoning, tool calls and waiting, and are not model decode speed.

Agent session counters: recorded value and measurement definition
MetricValueDefinition
Task elapsed59.1 minuser request received to first task completion; includes reasoning, tools, and waiting · n=1
End-to-end output rate42.14 tok/soutput_tokens divided by task_wall_time; includes reasoning, tool calls, and waiting; not model decode speed · n=1

Context and token counters

Token totals as reported by the harness or engine. Cached and cumulative figures are not additive with fresh input.

Context and token counters: recorded value and measurement definition
MetricValueDefinition
Cumulative input23,556,664 tokenscumulative across model calls; repeated conversation context can be counted again · n=1 · Taken from the cumulative Codex usage snapshot immediately before task completion.
Cached input23,088,768 tokenscumulative cached input; included in cumulative_input_tokens · n=1
Output tokens149,405 tokenscumulative across model calls; includes reasoning and tool output · n=1
of which reasoning output77,698 tokenssubset of output_tokens · n=1
Request records & provenance

The retained metrics do not provide token emission timestamps or reliable time-to-first-token latency. The aggregate end-to-end output rate is not comparable to local per-request engine decode or prefill measurements.

Run ID: 2026-10-03-gpt-6-luna-codex-whiteout-protocol-baseline

One execution, with checks transcribed from the retained record. A completed session is not a quality score. Measurement method · All runs