leaderboardeconomy-v1 · 6 game-hours · 3 seeds per model · updated 18 Oct 2026

Which AI can build the biggest farm?

Each model plays The Farmer Was Replaced from a fresh save, inside its own agent, with six hours of game time.

It’s a programming game: the only way to act is to write code. The language, the manual and the economy unlock as it plays, so it tests learning, planning and debugging over a long game, and every run can be replayed. Why this game

Leaderboard: mean score over valid seeds, mean points per resource (log₁₀(1 + produced), adding up to the score), and cost per run
Rank#ModelAgent
1Claude Opus 5.5Claude Code · $5.35Claude Code75.54Hay: 8.5Wood: 9.3 (most of any model)Carrot: 8.5 (most of any model)Pumpkin: 7.9 (most of any model)Cactus: 8.2 (most of any model)Power: 4.3Bone: 6.7 (most of any model)Weird substance: 6.0Gold: 6.7 (most of any model)Water: 5.5 (most of any model)Fertilizer: 4.1 (most of any model)$5.35
2GPT-6.1 SolCodex · $0.47Codex74.08Hay: 8.5 (most of any model)Wood: 9.1Carrot: 8.3Pumpkin: 7.2Cactus: 7.3Power: 5.1 (most of any model)Bone: 6.0Weird substance: 7.9 (most of any model)Gold: 5.5Water: 5.2Fertilizer: 4.0$0.47
3Claude Fable 5.1Claude Code · $14.68Claude Code69.17Hay: 7.6Wood: 8.2Carrot: 7.7Pumpkin: 6.5Cactus: 6.4Power: 4.3Bone: 6.6Weird substance: 7.1Gold: 5.5Water: 5.1Fertilizer: 4.1$14.68
4GPT-6 AstraCodex · $1.79Codex66.65Hay: 7.5Wood: 7.7Carrot: 7.1Pumpkin: 6.3Cactus: 6.4Power: 4.5Bone: 6.1Weird substance: 7.1Gold: 5.2Water: 4.6Fertilizer: 4.1$1.79
5Grok 4.7Cursor · $11.41Cursor58.38Hay: 6.5Wood: 7.4Carrot: 6.3Pumpkin: 4.7Cactus: 5.0Power: 4.5Bone: 5.0Weird substance: 5.7Gold: 4.6Water: 4.6Fertilizer: 4.0$11.41
6Claude Sonnet 5.5Claude Code · $3.12Claude Code55.09Hay: 6.2Wood: 6.3Carrot: 6.2Pumpkin: 6.0Cactus: 5.5Power: 3.8Bone: 3.5Weird substance: 4.5Gold: 4.8Water: 4.5Fertilizer: 3.9$3.12
7Claude Haiku 5.5Claude Code · $0.81Claude Code36.23Hay: 5.5Wood: 5.6Carrot: 5.3Pumpkin: 5.4Cactus: 4.2Power: 3.6Bone: noneWeird substance: noneGold: noneWater: 4.3Fertilizer: 2.4$0.81
8GPT-6 LunaCodex · $0.08Codex15.74Hay: 4.0Wood: 2.9Carrot: 2.1Pumpkin: 2.1Cactus: 1.2Power: noneBone: 1.5Weird substance: noneGold: noneWater: 1.9Fertilizer: none$0.08
points per resource, one per tenfold producedAll at medium effort · Cost is an estimate, not a charge · What is comparable
efficiencyscore against what it took

Score against cost, tokens and real time

Up and to the left: more score for less

Horizontal axis
Score and cost per model: means over valid seeds, with the min–max across seeds (API-equivalent estimate, log scale)
#ModelScoreCostSeeds
1Claude Opus 5.5 (Claude Code, medium)75.5 (75.4–75.7)$5.35 ($4.73–$6.19)3 of 3
2GPT-6.1 Sol (Codex, medium)74.1 (71.8–75.9)$0.47 ($0.32–$0.65)3 of 3
3Claude Fable 5.1 (Claude Code, medium)69.2 (63.7–72.5)$14.68 ($8.28–$21.62)3 of 3
4GPT-6 Astra (Codex, medium)66.6 (63.2–69.9)$1.79 ($1.73–$1.88)3 of 3
5Grok 4.7 (Cursor, medium)58.4 (57.4–59.8)$11.41 ($9.31–$13.92)3 of 3
6Claude Sonnet 5.5 (Claude Code, medium)55.1 (49.2–60.8)$3.12 ($2.25–$4.38)3 of 3
7Claude Haiku 5.5 (Claude Code, medium)36.2 (34.4–37.2)$0.81 ($0.61–$1.11)3 of 3
8GPT-6 Luna (Codex, medium)15.7 (4.7–27.5)$0.08 ($0.02–$0.18)3 of 3
Score and tokens per model: means over valid seeds, with the min–max across seeds (as each agent reports them, not like-for-like across vendors; log scale)
#ModelScoreTokensSeeds
1Claude Opus 5.5 (Claude Code, medium)75.5 (75.4–75.7)12.9m (11.7m–14.3m)3 of 3
2GPT-6.1 Sol (Codex, medium)74.1 (71.8–75.9)1.94m (1.26m–3.25m)3 of 3
3Claude Fable 5.1 (Claude Code, medium)69.2 (63.7–72.5)16.1m (8.3m–24m)3 of 3
4GPT-6 Astra (Codex, medium)66.6 (63.2–69.9)965k (924k–997k)3 of 3
5Grok 4.7 (Cursor, medium)58.4 (57.4–59.8)20.4m (16.4m–26m)3 of 3
6Claude Sonnet 5.5 (Claude Code, medium)55.1 (49.2–60.8)10.1m (7.36m–13.8m)3 of 3
7Claude Haiku 5.5 (Claude Code, medium)36.2 (34.4–37.2)15.6m (11.2m–21.2m)3 of 3
8GPT-6 Luna (Codex, medium)15.7 (4.7–27.5)5.65m (1.21m–12.5m)3 of 3
Score and real time per model: means over valid seeds, with the min–max across seeds (wall clock, reported but never scored; log scale)
#ModelScoreReal timeSeeds
1Claude Opus 5.5 (Claude Code, medium)75.5 (75.4–75.7)17m 47s (12m 32s–26m 38s)3 of 3
2GPT-6.1 Sol (Codex, medium)74.1 (71.8–75.9)7m 35s (6m 34s–8m 15s)3 of 3
3Claude Fable 5.1 (Claude Code, medium)69.2 (63.7–72.5)33m 18s (13m 52s–58m 17s)3 of 3
4GPT-6 Astra (Codex, medium)66.6 (63.2–69.9)5m 22s (5m 01s–5m 52s)3 of 3
5Grok 4.7 (Cursor, medium)58.4 (57.4–59.8)57m 34s (48m 41s–1h 10m)3 of 3
6Claude Sonnet 5.5 (Claude Code, medium)55.1 (49.2–60.8)13m 02s (8m 25s–18m 02s)3 of 3
7Claude Haiku 5.5 (Claude Code, medium)36.2 (34.4–37.2)11m 40s (10m 37s–13m 10s)3 of 3
8GPT-6 Luna (Codex, medium)15.7 (4.7–27.5)9m 59s (3m 55s–20m 23s)3 of 3
Points are means over valid seeds; bars span their min–maxWhat is comparable
rules

How a run works

Model + its own agent
Claude in Claude Code, GPT in Codex, Grok in Cursor. Built-in tools are off; the only way to act is FarmerBench’s game tools.
A paused clock
The game waits while the model thinks. Each action costs 10 game-seconds; running a program costs the time it runs.
Same farm, same seeds
Seeded and deterministic, so every run can be replayed exactly and every model faces the same fields.
Orders of magnitude
Ten times more of anything is one more point: one more pip in the counter.
# economy-v1, over eleven resources
score = 0
for r in Resources:
    score += log10(1 + produced[r])
Full methodology