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Benchmarks · coding

DuelLab GameBench 2

Models write game-playing programs from a rules description; the programs are compiled and play head-to-head tournaments on hidden abstract strategy games. 0-100 score, penalised for programs that fail to run.

71 models · 173 results · updated 20261026 · benchmarks.duellab.org ↗

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71 of 71 selected
Opus 5.5 xhigh

More from this benchmark

5 published measures

Breakdown

darker is better within each column · click a column to sort

All results

173 rows
#ModelEffortDuelLab GameBench 2
1Opus 5.5xhigh95.1 ±7.6
2GPT-6 Astraxhigh94.4 ±6.0
3Fable 5.1xhigh94.4 ±5.1
4Opus 5.5medium93.0 ±4.3
5GPT-6.1 Solxhigh92.7 ±11.1
6Sonnet 5.5xhigh91.8 ±9.3
7Gemini 4 Argonhigh90.1 ±13.1
8GPT-6 Astramedium89.6 ±9.9
9GPT-6.1 Solmedium87.5 ±10.6
10Fable 5.1low86.6 ±9.5
11Opus 5xhigh86.1 ±12.9
12Kimi K3.1max85.7 ±9.3
13GPT-6 Astralow85.1 ±11.0
14Fable 5.1medium84.8 ±14.6
15GPT-5.6 Solxhigh81.1 ±6.8
16Gemini 4 Argonlow81.0 ±16.5
17Kimi K3.1low80.8 ±26.0
18GPT-6 Solxhigh80.6 ±42.0
19Muse Wonder (Max)xhigh78.8 ±15.5
20Gemini 4 Argonmedium78.7 ±14.6
21Opus 5.5low78.2 ±19.6
22GPT-6.1 Sollow77.8 ±21.5
23Fable 5xhigh76.9 ±15.4
24Opus 5medium76.5 ±22.3
25GPT-6 Solmedium76.4 ±27.1
26GLM 5.3max73.5 ±46.5
27Grok 4.7medium73.4 ±46.5
28Grok 4.7xhigh73.2 ±46.7
29MiMo V2.6 Prohigh73.2 ±22.2
30GLM 5.3high72.0 ±20.4