Mystery Game Puzzles
Lumina VerifiedLumina checked the published sources, versions, model labels, score extraction and conversion. External evaluations were run by their publishers; Lumina has not independently rerun or reproduced them.Single best move across 100 undisclosed game puzzles. Published evaluations by Epoch AI.
Mystery Game Puzzles · Lumina Score
Epoch AI · 100 game positions
Epoch AI mean accuracy and published standard error; unspecified effort remains unknown. Missing metrics are omitted from their graph; quality scores remain available.
Results table
| Rank | ||||
|---|---|---|---|---|
| 1 | GPT-6 AstraMax | 1,273 | 84% | ±3.68 pp SE |
| 2 | GPT-6.1 SolMax | 1,255 | 80% | ±4.02 pp SE |
| 3 | GPT-6.1 TerraMax | 1,228 | 74% | ±4.41 pp SE |
| 4 | Claude Opus 5.5Max | 1,215 | 71% | ±4.56 pp SE |
| 5 | Claude Sonnet 5.5Max | 1,188 | 65% | ±4.79 pp SE |
| 6 | Gemini 4 ArgonHigh | 1,183 | 64% | ±4.82 pp SE |
| 7 | Claude Opus 5Max | 1,161 | 59% | ±4.94 pp SE |
| 8 | GPT-5.6 SolMax | 1,156 | 58% | ±4.96 pp SE |
| 8 | Claude Fable 5.1Max | 1,156 | 58% | ±4.96 pp SE |
| 10 | GPT-6 SolMax | 1,147 | 56% | ±4.99 pp SE |
| 10 | GPT-5.5xHigh | 1,147 | 56% | ±4.99 pp SE |
| 12 | GPT-5.5High | 1,129 | 52% | ±5.02 pp SE |
| 12 | Claude Fable 5Max | 1,129 | 52% | ±5.02 pp SE |
| 14 | Muse WonderMax | 1,125 | 51% | ±5.02 pp SE |
| 15 | DeepSeek V4.1 Flash 1017Max | 1,116 | 49% | ±5.02 pp SE |
| 16 | Gemini 3.8 FlashHigh | 1,107 | 47% | ±5.02 pp SE |
| 17 | DeepSeek V4 Pro 0813Max | 1,089 | 43% | ±4.98 pp SE |
| 17 | DeepSeek V4.1 FlashMax | 1,089 | 43% | ±4.98 pp SE |
| 19 | qwen3.8 MaxxHigh | 1,066 | 38% | ±4.88 pp SE |
| 20 | Claude Opus 5Not specified | 1,062 | 37% | ±4.85 pp SE |
| 20 | GPT-5.4xHigh | 1,062 | 37% | ±4.85 pp SE |
| 20 | Gemini 3.7 FlashHigh | 1,062 | 37% | ±4.85 pp SE |
| 23 | Claude Opus 4.8Max | 1,057 | 36% | ±4.82 pp SE |
| 24 | GPT-5.6 TerraMax | 1,053 | 35% | ±4.79 pp SE |
| 24 | Claude Sonnet 5Max | 1,053 | 35% | ±4.79 pp SE |
| 26 | DeepSeek V4 Flash 0731Max | 1,048 | 34% | ±4.76 pp SE |
| 26 | Grok 4.6xHigh | 1,048 | 34% | ±4.76 pp SE |
| 26 | Gemini 3.1 Pro (Preview)High | 1,048 | 34% | ±4.76 pp SE |
| 29 | GPT-5.6 SolNone | 1,044 | 33% | ±4.73 pp SE |
| 29 | GLM 5.3Max | 1,044 | 33% | ±4.73 pp SE |
| 31 | qwen3.7 MaxNot specified | 1,039 | 32% | ±4.69 pp SE |
| 31 | Gemini 3.5 FlashHigh | 1,039 | 32% | ±4.69 pp SE |
| 31 | Gemini 3.1 Pro (Preview)Medium | 1,039 | 32% | ±4.69 pp SE |
| 34 | Claude Opus 4.8xHigh | 1,035 | 31% | ±4.65 pp SE |
| 35 | Claude Haiku 5.5Max | 1,030 | 30% | ±4.61 pp SE |
| 35 | Gemini 3.6 FlashHigh | 1,030 | 30% | ±4.61 pp SE |
| 37 | Gemini 3.1 Pro (Preview)Low | 1,026 | 29% | ±4.56 pp SE |
| 37 | o3High | 1,026 | 29% | ±4.56 pp SE |
| 37 | Grok 4.7xHigh | 1,026 | 29% | ±4.56 pp SE |
| 40 | GPT-5.4Medium | 1,021 | 28% | ±4.51 pp SE |
| 40 | Gemini 3.5 FlashLow | 1,021 | 28% | ±4.51 pp SE |
| 40 | GPT-5.5Low | 1,021 | 28% | ±4.51 pp SE |
| 40 | Claude 4.7Max | 1,021 | 28% | ±4.51 pp SE |
| 44 | Kimi K3Max | 1,012 | 26% | ±4.41 pp SE |
| 44 | qwen3.7 MaxNone | 1,012 | 26% | ±4.41 pp SE |
| 44 | GPT-5.6 SolLow | 1,012 | 26% | ±4.41 pp SE |
| 44 | Gemini 3 Flash PreviewLow | 1,012 | 26% | ±4.41 pp SE |
| 48 | Gemini 3.6 FlashMinimal | 1,008 | 25% | ±4.35 pp SE |
| 48 | Claude Opus 4.6Max | 1,008 | 25% | ±4.35 pp SE |
| 48 | Muse Spark 1.3Max | 1,008 | 25% | ±4.46 pp SE |
| 48 | Gemini 3 Flash PreviewMinimal | 1,008 | 25% | ±4.35 pp SE |
| 52 | GPT-5.2High | 999 | 23% | ±4.23 pp SE |
| 52 | o3Medium | 999 | 23% | ±4.23 pp SE |
| 52 | Gemini 3.6 FlashLow | 999 | 23% | ±4.23 pp SE |
| 52 | GPT-5High | 999 | 23% | ±4.23 pp SE |
| 56 | Claude Opus 4.548k | 994 | 22% | ±4.16 pp SE |
| 56 | GPT-5.2Medium | 994 | 22% | ±4.16 pp SE |
| 56 | qwen3.6 35b a3bNone | 994 | 22% | ±4.16 pp SE |
| 59 | Claude Opus 4 1 2025080524k | 990 | 21% | ±4.09 pp SE |
| 59 | GPT-5.6 LunaMax | 990 | 21% | ±4.09 pp SE |
| 61 | qwen3.5 FlashNot specified | 985 | 20% | ±4.02 pp SE |
| 61 | Gemini 3 Flash PreviewHigh | 985 | 20% | ±4.02 pp SE |
| 61 | GPT-5.6 LunaNone | 985 | 20% | ±4.02 pp SE |
| 61 | Nemotron 3 UltraNot specified | 985 | 20% | ±4.02 pp SE |
| 65 | GLM-5.2Low | 981 | 19% | ±3.94 pp SE |
| 65 | GPT-5.6 TerraLow | 981 | 19% | ±3.94 pp SE |
| 65 | GPT-5.1Low | 981 | 19% | ±3.94 pp SE |
| 65 | qwen3.6 Max PreviewNone | 981 | 19% | ±3.94 pp SE |
| 65 | Gemini 3.5 Flash-LiteLow | 981 | 19% | ±3.94 pp SE |
| 70 | qwen3.6 FlashNone | 977 | 18% | ±3.86 pp SE |
| 70 | GLM-5.2Minimal | 977 | 18% | ±3.86 pp SE |
| 70 | GLM-5.2None | 977 | 18% | ±3.86 pp SE |
| 70 | qwen3.5 397b a17bNone | 977 | 18% | ±3.86 pp SE |
| 70 | GPT-5.5None | 977 | 18% | ±3.86 pp SE |
| 70 | Kimi k2.6Not specified | 977 | 18% | ±3.86 pp SE |
| 76 | Claude Sonnet 4.548k | 972 | 17% | ±3.78 pp SE |
| 76 | qwen3.7 PlusNone | 972 | 17% | ±3.78 pp SE |
| 76 | DeepSeek V4 ProNone | 972 | 17% | ±3.78 pp SE |
| 76 | qwen3.7 PlusNot specified | 972 | 17% | ±3.78 pp SE |
| 76 | GPT-5.6 LunaLow | 972 | 17% | ±3.78 pp SE |
| 76 | GPT-5.4Low | 972 | 17% | ±3.78 pp SE |
| 76 | Mistral Large 4 0High | 972 | 17% | ±3.78 pp SE |
| 76 | Qwen3.5-122B-A10BNone | 972 | 17% | ±3.78 pp SE |
| 76 | qwen3.5 PlusNone | 972 | 17% | ±3.78 pp SE |
| 85 | GPT-5Low | 968 | 16% | ±3.68 pp SE |
| 85 | GPT-5.1Medium | 968 | 16% | ±3.68 pp SE |
| 85 | Claude Sonnet 5Not specified | 968 | 16% | ±3.68 pp SE |
| 85 | qwen3.5 FlashNone | 968 | 16% | ±3.68 pp SE |
| 85 | GPT-5.4None | 968 | 16% | ±3.68 pp SE |
| 85 | qwen3.5 PlusNot specified | 968 | 16% | ±3.68 pp SE |
| 85 | Claude Sonnet 4.6Low | 968 | 16% | ±3.68 pp SE |
| 92 | GPT-5.1None | 963 | 15% | ±3.59 pp SE |
| 92 | GPT-5Medium | 963 | 15% | ±3.59 pp SE |
| 92 | qwen3.7 FlashNot specified | 963 | 15% | ±3.59 pp SE |
| 92 | Claude Opus 4.6Not specified | 963 | 15% | ±3.59 pp SE |
| 92 | GLM-5.2Medium | 963 | 15% | ±3.59 pp SE |
| 97 | Muse Spark 1.3xHigh | 959 | 14.14% | ±3.52 pp SE |
| 97 | GPT-5.6 TerraNone | 959 | 14% | ±3.49 pp SE |
| 97 | GPT-5.2None | 959 | 14% | ±3.49 pp SE |
| 97 | GPT-5Minimal | 959 | 14% | ±3.49 pp SE |
| 97 | qwen3.7 FlashNone | 959 | 14% | ±3.49 pp SE |
| 97 | Claude Sonnet 4.6Not specified | 959 | 14% | ±3.49 pp SE |
| 103 | Claude 4.7Not specified | 954 | 13% | ±3.38 pp SE |
| 104 | qwen3.6 FlashNot specified | 950 | 12% | ±3.27 pp SE |
| 104 | Kimi k2.6None | 950 | 12% | ±3.27 pp SE |
| 104 | GPT-5.6 LunaMedium | 950 | 12% | ±3.27 pp SE |
| 104 | Kimi K3Low | 950 | 12% | ±3.27 pp SE |
| 104 | GPT-4 0613Not specified | 950 | 12% | ±3.27 pp SE |
| 104 | Gemini 3.5 Flash-LiteMinimal | 950 | 12% | ±3.27 pp SE |
| 104 | qwen3.6 PlusNone | 950 | 12% | ±3.27 pp SE |
| 104 | GPT-4o-miniNot specified | 950 | 12% | ±3.27 pp SE |
| 112 | GPT-5.4 MiniNone | 945 | 11% | ±3.14 pp SE |
| 113 | GPT-5.2Low | 941 | 10% | ±3.02 pp SE |
| 113 | GPT-5 MiniMinimal | 941 | 10% | ±3.02 pp SE |
| 113 | GPT-5.6 TerraMedium | 941 | 10% | ±3.02 pp SE |
| 116 | Qwen3 235B A22B Thinking 2507Not specified | 936 | 9% | ±2.88 pp SE |
| 116 | GPT-5.4 NanoNone | 936 | 9% | ±2.88 pp SE |
| 116 | GPT-5 NanoLow | 936 | 9% | ±2.88 pp SE |
| 116 | GPT-5 NanoMedium | 936 | 9% | ±2.88 pp SE |
| 120 | GPT-5.4 MiniLow | 932 | 8% | ±2.73 pp SE |
| 120 | GPT-5 NanoHigh | 932 | 8% | ±2.73 pp SE |
| 120 | MiniMax M3None | 932 | 8% | ±2.73 pp SE |
| 120 | GLM 5.3 FlashMax | 932 | 8% | ±2.73 pp SE |
| 124 | GPT-5.4 MiniMedium | 927 | 7% | ±2.56 pp SE |
| 124 | GPT-6 LunaMax | 927 | 7% | ±2.56 pp SE |
| 124 | qwen3.6 27bNone | 927 | 7% | ±2.56 pp SE |
| 124 | MiniMax M3Not specified | 927 | 7% | ±2.56 pp SE |
| 124 | GPT-4.1-MiniNot specified | 927 | 7% | ±2.56 pp SE |
| 124 | Claude Opus 4.6Low | 927 | 7% | ±2.56 pp SE |
| 124 | o3-miniHigh | 927 | 7% | ±2.56 pp SE |
| 131 | GPT-5.4 NanoMedium | 923 | 6% | ±2.39 pp SE |
| 131 | Inkling SmallxHigh | 923 | 6% | ±2.39 pp SE |
| 133 | GPT-5.4 NanoHigh | 918 | 5% | ±2.19 pp SE |
| 133 | o4-miniHigh | 918 | 5% | ±2.19 pp SE |
| 133 | GPT-5 NanoMinimal | 918 | 5% | ±2.19 pp SE |
| 133 | qwen3 Max 2025 09 23Not specified | 918 | 5% | ±2.19 pp SE |
| 133 | GPT-5 MiniHigh | 918 | 5% | ±2.19 pp SE |
| 138 | GPT-5 MiniMedium | 914 | 4% | ±1.97 pp SE |
| 139 | GPT-5.4 NanoLow | 909 | 3% | ±1.71 pp SE |
| 139 | GPT-3.5 Turbo 0125Not specified | 909 | 3% | ±1.71 pp SE |
| 141 | GPT-Oss 120bMedium | 905 | 2% | ±1.41 pp SE |
| 142 | GPT-Oss 120bHigh | 896 | 0% | ±0 pp SE |
1 · GPT-6 AstraMax1273
- Accuracy
- 84%
- Standard error
- ±3.68 pp SE
- Evidence
- Model profile ↗
2 · GPT-6.1 SolMax1255
- Accuracy
- 80%
- Standard error
- ±4.02 pp SE
- Evidence
- Model profile ↗
3 · GPT-6.1 TerraMax1228
- Accuracy
- 74%
- Standard error
- ±4.41 pp SE
- Evidence
- Model profile ↗
4 · Claude Opus 5.5Max1215
- Accuracy
- 71%
- Standard error
- ±4.56 pp SE
- Evidence
- Model profile ↗
5 · Claude Sonnet 5.5Max1188
- Accuracy
- 65%
- Standard error
- ±4.79 pp SE
- Evidence
- Model profile ↗
6 · Gemini 4 ArgonHigh1183
- Accuracy
- 64%
- Standard error
- ±4.82 pp SE
- Evidence
- Model profile ↗
7 · Claude Opus 5Max1161
- Accuracy
- 59%
- Standard error
- ±4.94 pp SE
- Evidence
- Model profile ↗
8 · GPT-5.6 SolMax1156
- Accuracy
- 58%
- Standard error
- ±4.96 pp SE
- Evidence
- Model profile ↗
8 · Claude Fable 5.1Max1156
- Accuracy
- 58%
- Standard error
- ±4.96 pp SE
- Evidence
- Model profile ↗
10 · GPT-6 SolMax1147
- Accuracy
- 56%
- Standard error
- ±4.99 pp SE
- Evidence
- Model profile ↗
10 · GPT-5.5xHigh1147
- Accuracy
- 56%
- Standard error
- ±4.99 pp SE
- Evidence
- Model profile ↗
12 · GPT-5.5High1129
- Accuracy
- 52%
- Standard error
- ±5.02 pp SE
- Evidence
- Model profile ↗
12 · Claude Fable 5Max1129
- Accuracy
- 52%
- Standard error
- ±5.02 pp SE
- Evidence
- Model profile ↗
14 · Muse WonderMax1125
- Accuracy
- 51%
- Standard error
- ±5.02 pp SE
- Evidence
- Model profile ↗
15 · DeepSeek V4.1 Flash 1017Max1116
- Accuracy
- 49%
- Standard error
- ±5.02 pp SE
- Evidence
- Model profile ↗
16 · Gemini 3.8 FlashHigh1107
- Accuracy
- 47%
- Standard error
- ±5.02 pp SE
- Evidence
- Model profile ↗
17 · DeepSeek V4 Pro 0813Max1089
- Accuracy
- 43%
- Standard error
- ±4.98 pp SE
- Evidence
- Model profile ↗
17 · DeepSeek V4.1 FlashMax1089
- Accuracy
- 43%
- Standard error
- ±4.98 pp SE
- Evidence
- Model profile ↗
19 · qwen3.8 MaxxHigh1066
- Accuracy
- 38%
- Standard error
- ±4.88 pp SE
- Evidence
- Model profile ↗
20 · Claude Opus 5Not specified1062
- Accuracy
- 37%
- Standard error
- ±4.85 pp SE
- Evidence
- Model profile ↗
20 · GPT-5.4xHigh1062
- Accuracy
- 37%
- Standard error
- ±4.85 pp SE
- Evidence
- Model profile ↗
20 · Gemini 3.7 FlashHigh1062
- Accuracy
- 37%
- Standard error
- ±4.85 pp SE
- Evidence
- Model profile ↗
23 · Claude Opus 4.8Max1057
- Accuracy
- 36%
- Standard error
- ±4.82 pp SE
- Evidence
- Model profile ↗
24 · GPT-5.6 TerraMax1053
- Accuracy
- 35%
- Standard error
- ±4.79 pp SE
- Evidence
- Model profile ↗
24 · Claude Sonnet 5Max1053
- Accuracy
- 35%
- Standard error
- ±4.79 pp SE
- Evidence
- Model profile ↗
26 · DeepSeek V4 Flash 0731Max1048
- Accuracy
- 34%
- Standard error
- ±4.76 pp SE
- Evidence
- Model profile ↗
26 · Grok 4.6xHigh1048
- Accuracy
- 34%
- Standard error
- ±4.76 pp SE
- Evidence
- Model profile ↗
26 · Gemini 3.1 Pro (Preview)High1048
- Accuracy
- 34%
- Standard error
- ±4.76 pp SE
- Evidence
- Model profile ↗
29 · GPT-5.6 SolNone1044
- Accuracy
- 33%
- Standard error
- ±4.73 pp SE
- Evidence
- Model profile ↗
29 · GLM 5.3Max1044
- Accuracy
- 33%
- Standard error
- ±4.73 pp SE
- Evidence
- Model profile ↗
31 · qwen3.7 MaxNot specified1039
- Accuracy
- 32%
- Standard error
- ±4.69 pp SE
- Evidence
- Model profile ↗
31 · Gemini 3.5 FlashHigh1039
- Accuracy
- 32%
- Standard error
- ±4.69 pp SE
- Evidence
- Model profile ↗
31 · Gemini 3.1 Pro (Preview)Medium1039
- Accuracy
- 32%
- Standard error
- ±4.69 pp SE
- Evidence
- Model profile ↗
34 · Claude Opus 4.8xHigh1035
- Accuracy
- 31%
- Standard error
- ±4.65 pp SE
- Evidence
- Model profile ↗
35 · Claude Haiku 5.5Max1030
- Accuracy
- 30%
- Standard error
- ±4.61 pp SE
- Evidence
- Model profile ↗
35 · Gemini 3.6 FlashHigh1030
- Accuracy
- 30%
- Standard error
- ±4.61 pp SE
- Evidence
- Model profile ↗
37 · Gemini 3.1 Pro (Preview)Low1026
- Accuracy
- 29%
- Standard error
- ±4.56 pp SE
- Evidence
- Model profile ↗
37 · o3High1026
- Accuracy
- 29%
- Standard error
- ±4.56 pp SE
- Evidence
- Model profile ↗
37 · Grok 4.7xHigh1026
- Accuracy
- 29%
- Standard error
- ±4.56 pp SE
- Evidence
- Model profile ↗
40 · GPT-5.4Medium1021
- Accuracy
- 28%
- Standard error
- ±4.51 pp SE
- Evidence
- Model profile ↗
40 · Gemini 3.5 FlashLow1021
- Accuracy
- 28%
- Standard error
- ±4.51 pp SE
- Evidence
- Model profile ↗
40 · GPT-5.5Low1021
- Accuracy
- 28%
- Standard error
- ±4.51 pp SE
- Evidence
- Model profile ↗
40 · Claude 4.7Max1021
- Accuracy
- 28%
- Standard error
- ±4.51 pp SE
- Evidence
- Model profile ↗
44 · Kimi K3Max1012
- Accuracy
- 26%
- Standard error
- ±4.41 pp SE
- Evidence
- Model profile ↗
44 · qwen3.7 MaxNone1012
- Accuracy
- 26%
- Standard error
- ±4.41 pp SE
- Evidence
- Model profile ↗
44 · GPT-5.6 SolLow1012
- Accuracy
- 26%
- Standard error
- ±4.41 pp SE
- Evidence
- Model profile ↗
44 · Gemini 3 Flash PreviewLow1012
- Accuracy
- 26%
- Standard error
- ±4.41 pp SE
- Evidence
- Model profile ↗
48 · Gemini 3.6 FlashMinimal1008
- Accuracy
- 25%
- Standard error
- ±4.35 pp SE
- Evidence
- Model profile ↗
48 · Claude Opus 4.6Max1008
- Accuracy
- 25%
- Standard error
- ±4.35 pp SE
- Evidence
- Model profile ↗
48 · Muse Spark 1.3Max1008
- Accuracy
- 25%
- Standard error
- ±4.46 pp SE
- Evidence
- Model profile ↗
48 · Gemini 3 Flash PreviewMinimal1008
- Accuracy
- 25%
- Standard error
- ±4.35 pp SE
- Evidence
- Model profile ↗
52 · GPT-5.2High999
- Accuracy
- 23%
- Standard error
- ±4.23 pp SE
- Evidence
- Model profile ↗
52 · o3Medium999
- Accuracy
- 23%
- Standard error
- ±4.23 pp SE
- Evidence
- Model profile ↗
52 · Gemini 3.6 FlashLow999
- Accuracy
- 23%
- Standard error
- ±4.23 pp SE
- Evidence
- Model profile ↗
52 · GPT-5High999
- Accuracy
- 23%
- Standard error
- ±4.23 pp SE
- Evidence
- Model profile ↗
56 · Claude Opus 4.548k994
- Accuracy
- 22%
- Standard error
- ±4.16 pp SE
- Evidence
- Model profile ↗
56 · GPT-5.2Medium994
- Accuracy
- 22%
- Standard error
- ±4.16 pp SE
- Evidence
- Model profile ↗
56 · qwen3.6 35b a3bNone994
- Accuracy
- 22%
- Standard error
- ±4.16 pp SE
- Evidence
- Model profile ↗
59 · Claude Opus 4 1 2025080524k990
- Accuracy
- 21%
- Standard error
- ±4.09 pp SE
- Evidence
- Model profile ↗
59 · GPT-5.6 LunaMax990
- Accuracy
- 21%
- Standard error
- ±4.09 pp SE
- Evidence
- Model profile ↗
61 · qwen3.5 FlashNot specified985
- Accuracy
- 20%
- Standard error
- ±4.02 pp SE
- Evidence
- Model profile ↗
61 · Gemini 3 Flash PreviewHigh985
- Accuracy
- 20%
- Standard error
- ±4.02 pp SE
- Evidence
- Model profile ↗
61 · GPT-5.6 LunaNone985
- Accuracy
- 20%
- Standard error
- ±4.02 pp SE
- Evidence
- Model profile ↗
61 · Nemotron 3 UltraNot specified985
- Accuracy
- 20%
- Standard error
- ±4.02 pp SE
- Evidence
- Model profile ↗
65 · GLM-5.2Low981
- Accuracy
- 19%
- Standard error
- ±3.94 pp SE
- Evidence
- Model profile ↗
65 · GPT-5.6 TerraLow981
- Accuracy
- 19%
- Standard error
- ±3.94 pp SE
- Evidence
- Model profile ↗
65 · GPT-5.1Low981
- Accuracy
- 19%
- Standard error
- ±3.94 pp SE
- Evidence
- Model profile ↗
65 · qwen3.6 Max PreviewNone981
- Accuracy
- 19%
- Standard error
- ±3.94 pp SE
- Evidence
- Model profile ↗
65 · Gemini 3.5 Flash-LiteLow981
- Accuracy
- 19%
- Standard error
- ±3.94 pp SE
- Evidence
- Model profile ↗
70 · qwen3.6 FlashNone977
- Accuracy
- 18%
- Standard error
- ±3.86 pp SE
- Evidence
- Model profile ↗
70 · GLM-5.2Minimal977
- Accuracy
- 18%
- Standard error
- ±3.86 pp SE
- Evidence
- Model profile ↗
70 · GLM-5.2None977
- Accuracy
- 18%
- Standard error
- ±3.86 pp SE
- Evidence
- Model profile ↗
70 · qwen3.5 397b a17bNone977
- Accuracy
- 18%
- Standard error
- ±3.86 pp SE
- Evidence
- Model profile ↗
70 · GPT-5.5None977
- Accuracy
- 18%
- Standard error
- ±3.86 pp SE
- Evidence
- Model profile ↗
70 · Kimi k2.6Not specified977
- Accuracy
- 18%
- Standard error
- ±3.86 pp SE
- Evidence
- Model profile ↗
76 · Claude Sonnet 4.548k972
- Accuracy
- 17%
- Standard error
- ±3.78 pp SE
- Evidence
- Model profile ↗
76 · qwen3.7 PlusNone972
- Accuracy
- 17%
- Standard error
- ±3.78 pp SE
- Evidence
- Model profile ↗
76 · DeepSeek V4 ProNone972
- Accuracy
- 17%
- Standard error
- ±3.78 pp SE
- Evidence
- Model profile ↗
76 · qwen3.7 PlusNot specified972
- Accuracy
- 17%
- Standard error
- ±3.78 pp SE
- Evidence
- Model profile ↗
76 · GPT-5.6 LunaLow972
- Accuracy
- 17%
- Standard error
- ±3.78 pp SE
- Evidence
- Model profile ↗
76 · GPT-5.4Low972
- Accuracy
- 17%
- Standard error
- ±3.78 pp SE
- Evidence
- Model profile ↗
76 · Mistral Large 4 0High972
- Accuracy
- 17%
- Standard error
- ±3.78 pp SE
- Evidence
- Model profile ↗
76 · Qwen3.5-122B-A10BNone972
- Accuracy
- 17%
- Standard error
- ±3.78 pp SE
- Evidence
- Model profile ↗
76 · qwen3.5 PlusNone972
- Accuracy
- 17%
- Standard error
- ±3.78 pp SE
- Evidence
- Model profile ↗
85 · GPT-5Low968
- Accuracy
- 16%
- Standard error
- ±3.68 pp SE
- Evidence
- Model profile ↗
85 · GPT-5.1Medium968
- Accuracy
- 16%
- Standard error
- ±3.68 pp SE
- Evidence
- Model profile ↗
85 · Claude Sonnet 5Not specified968
- Accuracy
- 16%
- Standard error
- ±3.68 pp SE
- Evidence
- Model profile ↗
85 · qwen3.5 FlashNone968
- Accuracy
- 16%
- Standard error
- ±3.68 pp SE
- Evidence
- Model profile ↗
85 · GPT-5.4None968
- Accuracy
- 16%
- Standard error
- ±3.68 pp SE
- Evidence
- Model profile ↗
85 · qwen3.5 PlusNot specified968
- Accuracy
- 16%
- Standard error
- ±3.68 pp SE
- Evidence
- Model profile ↗
85 · Claude Sonnet 4.6Low968
- Accuracy
- 16%
- Standard error
- ±3.68 pp SE
- Evidence
- Model profile ↗
92 · GPT-5.1None963
- Accuracy
- 15%
- Standard error
- ±3.59 pp SE
- Evidence
- Model profile ↗
92 · GPT-5Medium963
- Accuracy
- 15%
- Standard error
- ±3.59 pp SE
- Evidence
- Model profile ↗
92 · qwen3.7 FlashNot specified963
- Accuracy
- 15%
- Standard error
- ±3.59 pp SE
- Evidence
- Model profile ↗
92 · Claude Opus 4.6Not specified963
- Accuracy
- 15%
- Standard error
- ±3.59 pp SE
- Evidence
- Model profile ↗
92 · GLM-5.2Medium963
- Accuracy
- 15%
- Standard error
- ±3.59 pp SE
- Evidence
- Model profile ↗
97 · Muse Spark 1.3xHigh959
- Accuracy
- 14.14%
- Standard error
- ±3.52 pp SE
- Evidence
- Model profile ↗
97 · GPT-5.6 TerraNone959
- Accuracy
- 14%
- Standard error
- ±3.49 pp SE
- Evidence
- Model profile ↗
97 · GPT-5.2None959
- Accuracy
- 14%
- Standard error
- ±3.49 pp SE
- Evidence
- Model profile ↗
97 · GPT-5Minimal959
- Accuracy
- 14%
- Standard error
- ±3.49 pp SE
- Evidence
- Model profile ↗
97 · qwen3.7 FlashNone959
- Accuracy
- 14%
- Standard error
- ±3.49 pp SE
- Evidence
- Model profile ↗
97 · Claude Sonnet 4.6Not specified959
- Accuracy
- 14%
- Standard error
- ±3.49 pp SE
- Evidence
- Model profile ↗
103 · Claude 4.7Not specified954
- Accuracy
- 13%
- Standard error
- ±3.38 pp SE
- Evidence
- Model profile ↗
104 · qwen3.6 FlashNot specified950
- Accuracy
- 12%
- Standard error
- ±3.27 pp SE
- Evidence
- Model profile ↗
104 · Kimi k2.6None950
- Accuracy
- 12%
- Standard error
- ±3.27 pp SE
- Evidence
- Model profile ↗
104 · GPT-5.6 LunaMedium950
- Accuracy
- 12%
- Standard error
- ±3.27 pp SE
- Evidence
- Model profile ↗
104 · Kimi K3Low950
- Accuracy
- 12%
- Standard error
- ±3.27 pp SE
- Evidence
- Model profile ↗
104 · GPT-4 0613Not specified950
- Accuracy
- 12%
- Standard error
- ±3.27 pp SE
- Evidence
- Model profile ↗
104 · Gemini 3.5 Flash-LiteMinimal950
- Accuracy
- 12%
- Standard error
- ±3.27 pp SE
- Evidence
- Model profile ↗
104 · qwen3.6 PlusNone950
- Accuracy
- 12%
- Standard error
- ±3.27 pp SE
- Evidence
- Model profile ↗
104 · GPT-4o-miniNot specified950
- Accuracy
- 12%
- Standard error
- ±3.27 pp SE
- Evidence
- Model profile ↗
112 · GPT-5.4 MiniNone945
- Accuracy
- 11%
- Standard error
- ±3.14 pp SE
- Evidence
- Model profile ↗
113 · GPT-5.2Low941
- Accuracy
- 10%
- Standard error
- ±3.02 pp SE
- Evidence
- Model profile ↗
113 · GPT-5 MiniMinimal941
- Accuracy
- 10%
- Standard error
- ±3.02 pp SE
- Evidence
- Model profile ↗
113 · GPT-5.6 TerraMedium941
- Accuracy
- 10%
- Standard error
- ±3.02 pp SE
- Evidence
- Model profile ↗
116 · Qwen3 235B A22B Thinking 2507Not specified936
- Accuracy
- 9%
- Standard error
- ±2.88 pp SE
- Evidence
- Model profile ↗
116 · GPT-5.4 NanoNone936
- Accuracy
- 9%
- Standard error
- ±2.88 pp SE
- Evidence
- Model profile ↗
116 · GPT-5 NanoLow936
- Accuracy
- 9%
- Standard error
- ±2.88 pp SE
- Evidence
- Model profile ↗
116 · GPT-5 NanoMedium936
- Accuracy
- 9%
- Standard error
- ±2.88 pp SE
- Evidence
- Model profile ↗
120 · GPT-5.4 MiniLow932
- Accuracy
- 8%
- Standard error
- ±2.73 pp SE
- Evidence
- Model profile ↗
120 · GPT-5 NanoHigh932
- Accuracy
- 8%
- Standard error
- ±2.73 pp SE
- Evidence
- Model profile ↗
120 · MiniMax M3None932
- Accuracy
- 8%
- Standard error
- ±2.73 pp SE
- Evidence
- Model profile ↗
120 · GLM 5.3 FlashMax932
- Accuracy
- 8%
- Standard error
- ±2.73 pp SE
- Evidence
- Model profile ↗
124 · GPT-5.4 MiniMedium927
- Accuracy
- 7%
- Standard error
- ±2.56 pp SE
- Evidence
- Model profile ↗
124 · GPT-6 LunaMax927
- Accuracy
- 7%
- Standard error
- ±2.56 pp SE
- Evidence
- Model profile ↗
124 · qwen3.6 27bNone927
- Accuracy
- 7%
- Standard error
- ±2.56 pp SE
- Evidence
- Model profile ↗
124 · MiniMax M3Not specified927
- Accuracy
- 7%
- Standard error
- ±2.56 pp SE
- Evidence
- Model profile ↗
124 · GPT-4.1-MiniNot specified927
- Accuracy
- 7%
- Standard error
- ±2.56 pp SE
- Evidence
- Model profile ↗
124 · Claude Opus 4.6Low927
- Accuracy
- 7%
- Standard error
- ±2.56 pp SE
- Evidence
- Model profile ↗
124 · o3-miniHigh927
- Accuracy
- 7%
- Standard error
- ±2.56 pp SE
- Evidence
- Model profile ↗
131 · GPT-5.4 NanoMedium923
- Accuracy
- 6%
- Standard error
- ±2.39 pp SE
- Evidence
- Model profile ↗
131 · Inkling SmallxHigh923
- Accuracy
- 6%
- Standard error
- ±2.39 pp SE
- Evidence
- Model profile ↗
133 · GPT-5.4 NanoHigh918
- Accuracy
- 5%
- Standard error
- ±2.19 pp SE
- Evidence
- Model profile ↗
133 · o4-miniHigh918
- Accuracy
- 5%
- Standard error
- ±2.19 pp SE
- Evidence
- Model profile ↗
133 · GPT-5 NanoMinimal918
- Accuracy
- 5%
- Standard error
- ±2.19 pp SE
- Evidence
- Model profile ↗
133 · qwen3 Max 2025 09 23Not specified918
- Accuracy
- 5%
- Standard error
- ±2.19 pp SE
- Evidence
- Model profile ↗
133 · GPT-5 MiniHigh918
- Accuracy
- 5%
- Standard error
- ±2.19 pp SE
- Evidence
- Model profile ↗
138 · GPT-5 MiniMedium914
- Accuracy
- 4%
- Standard error
- ±1.97 pp SE
- Evidence
- Model profile ↗
139 · GPT-5.4 NanoLow909
- Accuracy
- 3%
- Standard error
- ±1.71 pp SE
- Evidence
- Model profile ↗
139 · GPT-3.5 Turbo 0125Not specified909
- Accuracy
- 3%
- Standard error
- ±1.71 pp SE
- Evidence
- Model profile ↗
141 · GPT-Oss 120bMedium905
- Accuracy
- 2%
- Standard error
- ±1.41 pp SE
- Evidence
- Model profile ↗
142 · GPT-Oss 120bHigh896
- Accuracy
- 0%
- Standard error
- ±0 pp SE
- Evidence
- Model profile ↗
Source & conversion
Published results by Epoch AI on 100 undisclosed game puzzles.
Mean accuracy and publisher standard error. Resource measurements are unavailable.
How the Lumina conversion works
1,000 + 75 × ((original score − 23.226347986911367) / 16.68350779624929). The result is rounded once. Scores may tie.
Frozen initial 142 official Epoch internal runs; mean accuracy, explicit effort suffixes only. Unknown historical harness versions are not imputed.
- Calibration
- mystery-game-puzzles-z75-v1 · experimental
- Reference mean
- 23.226347986911367
- Population SD
- 16.68350779624929
- Coverage
- Contributes through the Lumina Reasoning Index.
Identity, exclusions & attribution
Exact model versions and explicit settings only. Unknown settings remain unknown.
The official CSV does not identify per-run harness versions; none are inferred.
Epoch AI methodology · Data and attribution
Publisher terms. Scores and resource figures are attributed to the original publisher.