Season 1 in preparation.Rankings will be published after measured runs are complete. The pilot snapshot is available with its caveats.Pilot results
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PCBBench

Season 0 pilot · public tasks · 1 attempt

Pilot results snapshot

The pilot protocol runs each model once through the 120 public tasks to shake out broken tasks, graders and transports. 1 of 13 models were recorded as complete in this snapshot. The numbers below are real, generated from the run records (2026-10-03 21:25 UTC), but they are not a leaderboard: models have finished different suites, so their averages are not comparable yet.

Recorded progress by model

ModelStatusPublic tasks donePassedMeanCost so farOut tok
GPT-6.1 Sol
via Codex CLI · effort max
Complete
Full public pass finished.
120/120
88/1200.81$30.009k
GPT-6 Astra
via Codex CLI · effort max
Running
Public pass in progress.
104/120
2 interrupted
87/1040.90$67.145k
Claude Sonnet 5.5
via Claude Code · effort max
Paused
Provider usage limit; resumes after the weekly reset.
77/120
1 interrupted
65/770.89$85.4353k
Gemini 3.8 Flash
via Cursor CLI · effort high
Paused
Provider usage limit until Oct 26; a submit-format issue is being fixed.
20/120
7 to rerun (task changed) · 81 interrupted
11/200.56$30.2772k
Grok 4.7
via Grok CLI · effort xhigh
Paused
Provider usage limit.
9/120
4 interrupted
8/90.89$1.9115k
Claude Opus 5.5
via Claude Code
Queued
Next on Claude Code after Sonnet 5.5.
0/120
––––
Gemini 3.1 Pro
via Cursor CLI
Queued
Provider usage limit until Oct 26.
0/120
––––
GPT-5.3 Codex
via Cursor CLI
Queued
Provider usage limit until Oct 26.
0/120
––––
Muse Spark 1.3
via Cursor CLI
Queued
Provider usage limit until Oct 26.
0/120
––––
Kimi K2.7 Code
via Cursor CLI
Queued
Provider usage limit until Oct 26.
0/120
––––
Claude Haiku 4.5
via Claude Code
Queued
After Opus 5.5.
0/120
––––
GPT-6 Luna
via Codex CLI
Queued
Starts after GPT-6 Astra.
0/120
––––
Claude Fable 5.1
via Claude Code
Not scheduled
Not scheduled for the pilot.
0/120
––––

Interrupted attempts (network outages, provider usage limits) never count as failures; they are rerun. Attempts on a task that changed after the model saw it are rerun too. Cost is the list-price equivalent of the tokens each CLI reported.

Pilot results by suite

Tasks passed out of valid attempts, shaded by mean score. Empty cells have not run yet.

ModelReason
24 public
Datasheet
12 public
Select
12 public
Library
12 public
Schematic
12 public
Review
16 public
ECO
8 public
Layout
12 public
Board
6 public
Debug
6 public
GPT-6.1 Sol23/2411/1212/1212/1212/123/167/82/121/65/6
GPT-6 Astra23/2411/1212/1212/1212/124/168/8–0/25/6
Claude Sonnet 5.518/2412/1212/1212/12–11/160/1–––
Gemini 3.8 Flash11/110/9––––––––
Grok 4.78/9–––––––––
  • Gemini 3.8 Flash's 0/9 on datasheets is a transport failure: its CLI could not submit nested answers. Those attempts will be rerun once the submit format is fixed.
  • GPT-6.1 Sol's layout and board results include attempts zeroed by a layout integrity false positive and by prompts that did not say which existing DRC findings are ignored; both are being fixed and rerun.

What the pilot has shown so far

Board-level work is where models fail
GPT-6.1 Sol, the first model through every public task, passed 23 of 24 reasoning tasks and all 12 schematics, but only 1 of 6 end-to-end boards and 2 of 12 placement-and-routing tasks.
Two suites are close to saturated
Every model passed every component-selection task it attempted, and most reasoning tasks fall in one calculation. Season 1 makes both harder (constraints the catalog does not index, datasheet-only parameters) or weights them down.
The pilot found real task bugs, so it did its job
Five task or grader problems mis-scored correct work: a unit written as mA/LSB that the parser rejected, a solder jumper dropped from a netlist, layout prompts that did not say which pre-existing DRC findings are ignored, a review prompt that invited findings the key did not count, and a BOM check that failed equivalent part numbers. Each is being fixed and the affected attempts rerun before anything is ranked.
Isolation held under pressure
One model spent most of its tokens searching the sandbox for the grader. No grader file, reference answer or hidden marker ever appeared in any trace.
The same task can cost 15× more on one model
List-price equivalent of the measured tokens: a footprint task cost $2.17 on Claude Sonnet 5.5 at max effort and $0.15 on GPT-6.1 Sol; a design review $2.68 against $0.22, though Sonnet scored higher on review (0.87 vs 0.58). Averaged over the public tasks each model finished: $1.07 against $0.25.

What happens next

  1. Fix the task and grader bugs the pilot found, freeze every task by content hash, and rerun the affected attempts.
  2. Finish one public pass for every model, then add the second and third attempts.
  3. Run the held-out tasks only through providers that do not retain or train on the data.
  4. Replace the preview leaderboard with measured results and log it in the changelog.

Models are reached through their vendors' agent CLIs with PCBBench's prompt and tools; see methodology. Claude Fable 5.1 is not part of the pilot.