Reading · topic 6
Details that support a paragraph’s main point
97 scored questions. Accuracy by topic compares this topic with the others.
Every setup's result
Accuracy on this topic's questions, with its 95% interval. Few questions make wide intervals.
| Setup | Accuracy | Right |
|---|---|---|
| Gemini 3.8 Flashhigh reasoning · 16 questions per request · Chat model | 99.0%94.4% to 99.8% | 96 of 97 |
| GPT-6 Astrahigh reasoning · 16 questions per request · Chat model | 99.0%94.4% to 99.8% | 96 of 97 |
| GPT-6.1 Sollow reasoning · 1 question per request · Chat model | 99.0%94.4% to 99.8% | 96 of 97 |
| Claude Opus 5.5low reasoning · 1 question per request · Chat model | 99.0%94.4% to 99.8% | 96 of 97 |
| GPT-6.1 Terralow reasoning · 16 questions per request · Chat model | 99.0%94.4% to 99.8% | 96 of 97 |
| Mammoth-11 question per request · Decision model | 99.0%94.4% to 99.8% | 96 of 97 |
| GPT-6.1 Solhigh reasoning · 16 questions per request · Chat model | 97.9%92.8% to 99.4% | 95 of 97 |
| GPT-6 Astralow reasoning · 16 questions per request · Chat model | 97.9%92.8% to 99.4% | 95 of 97 |
| GPT-6 Astralow reasoning · 1 question per request · Chat model | 97.9%92.8% to 99.4% | 95 of 97 |
| Gemini 3.8 Flashlow reasoning · 1 question per request · Chat model | 97.9%92.8% to 99.4% | 95 of 97 |
| GPT-6.1 Sollow reasoning · 16 questions per request · Chat model | 97.9%92.8% to 99.4% | 95 of 97 |
| Claude Fable 5.1high reasoning · 16 questions per request · Chat model | 97.9%92.8% to 99.4% | 95 of 97 |
| Gemini 3.8 Flashlow reasoning · 16 questions per request · Chat model | 97.9%92.8% to 99.4% | 95 of 97 |
| Kimi K3.1 Proreasoning none · 16 questions per request · Chat model | 97.9%92.8% to 99.4% | 95 of 97 |
| Claude Opus 5.5high reasoning · 16 questions per request · Chat model | 96.9%91.3% to 98.9% | 94 of 97 |
| GPT-6.1 Terrahigh reasoning · 16 questions per request · Chat model | 96.9%91.3% to 98.9% | 94 of 97 |
| Grok 4.7high reasoning · 16 questions per request · Chat model | 96.9%91.3% to 98.9% | 94 of 97 |
| Kimi K3.1 Prolow reasoning · 16 questions per request · Chat model | 96.9%91.3% to 98.9% | 94 of 97 |
| Gemini 4 Argonlow reasoning · 16 questions per request · Chat model | 95.9%89.9% to 98.4% | 93 of 97 |
| DeepSeek-V4.1-Flash, first releasereasoning on · 16 questions per request · Chat model | 95.9%89.9% to 98.4% | 93 of 97 |
| Claude Sonnet 5.5high reasoning · 1 question per request · Chat model | 95.9%89.9% to 98.4% | 93 of 97 |
| Gemma 4 31Breasoning off · 16 questions per request · Chat model | 95.9%89.9% to 98.4% | 93 of 97 |
| Fastino GLiDE v1.2local · 1 question per request · Decision model | 95.9%89.9% to 98.4% | 93 of 97 |
| Drex Max v11 question per request · Decision model | 95.9%89.9% to 98.4% | 93 of 97 |
| SubQ Snap Preview1 question per request · Decision model | 95.9%89.9% to 98.4% | 93 of 97 |
| Perplexity Decider 27B v11 question per request · Decision model | 95.9%89.9% to 98.4% | 93 of 97 |
| GLM-5.3-Flashreasoning on · 16 questions per request · Chat model | 94.8%88.5% to 97.8% | 92 of 97 |
| vLLM-SR d3-ultratransformers, rev 52ba9e7 · 1 question per request · Decision model | 94.8%88.5% to 97.8% | 92 of 97 |
| Claude Opus 5.5low reasoning · 16 questions per request · Chat model | 93.8%87.2% to 97.1% | 91 of 97 |
| GPT-6 Lunalow reasoning · 16 questions per request · Chat model | 93.8%87.2% to 97.1% | 91 of 97 |
| vLLM-SR d31 question per request · Decision model | 93.8%87.2% to 97.1% | 91 of 97 |
| Perplexity Decider 27B v1.2local · 1 question per request · Decision model | 93.8%87.2% to 97.1% | 91 of 97 |
| Perplexity Decider 27B v1.11 question per request · Decision model | 93.8%87.2% to 97.1% | 91 of 97 |
| Gemma 4 31Breasoning off · 1 question per request · Chat model | 93.8%87.2% to 97.1% | 91 of 97 |
| SubQ Snap 1.11 question per request · Decision model | 93.8%87.2% to 97.1% | 91 of 97 |
| GLM-5.3-Flashreasoning off · 16 questions per request · Chat model | 93.8%87.2% to 97.1% | 91 of 97 |
| Claude Sonnet 5.5high reasoning · 16 questions per request · Chat model | 92.8%85.8% to 96.5% | 90 of 97 |
| Liquid d1-ultra1 question per request · Decision model | 92.8%85.8% to 96.5% | 90 of 97 |
| Qwen3.8-27Blow reasoning · 16 questions per request · Chat model | 92.8%85.8% to 96.5% | 90 of 97 |
| DeepSeek-V4.1-Flash, first releasereasoning off · 16 questions per request · Chat model | 92.8%85.8% to 96.5% | 90 of 97 |
| OneJev 27B1 question per request · Decision model | 92.8%85.8% to 96.5% | 90 of 97 |
| Open-Jev 27B v1.11 question per request · Decision model | 92.8%85.8% to 96.5% | 90 of 97 |
| Qwen3.8-27Bstated confidence · reasoning off · 1 question per request · Chat model | 92.8%85.8% to 96.5% | 90 of 97 |
| Fastino GLiDE1 question per request · Decision model | 91.8%84.6% to 95.8% | 89 of 97 |
| Drex Max 1.11 question per request · Decision model | 91.8%84.6% to 95.8% | 89 of 97 |
| Jev 1.14.01 question per request · Decision model | 91.8%84.6% to 95.8% | 89 of 97 |
| Inception Mercury Decidevia OpenRouter · 1 question per request · Decision model | 91.8%84.6% to 95.8% | 89 of 97 |
| GLM-5.3low reasoning · 16 questions per request · Chat model | 90.7%83.3% to 95.0% | 88 of 97 |
| GPT-6 LunaDecisions API, beta · 1 question per request · Decision model | 90.7%83.3% to 95.0% | 88 of 97 |
| Celeris-1 Decision1 question per request · Decision model | 90.7%83.3% to 95.0% | 88 of 97 |
| Clef1 question per request · Decision model | 90.7%83.3% to 95.0% | 88 of 97 |
| Liquid d1.11 question per request · Decision model | 89.7%82.1% to 94.3% | 87 of 97 |
| Claude Sonnet 5.5low reasoning · 16 questions per request · Chat model | 89.7%82.1% to 94.3% | 87 of 97 |
| Qwen3.8-27Bvote share · reasoning off · 1 question per request · Chat model | 89.7%82.1% to 94.3% | 87 of 97 |
| Jev 1.13.01 question per request · Decision model | 88.7%80.8% to 93.5% | 86 of 97 |
| Liquid d11 question per request · Decision model | 87.6%79.6% to 92.8% | 85 of 97 |
| Cygnet1 question per request · Decision model | 87.6%79.6% to 92.8% | 85 of 97 |
| Drex 2.01 question per request · Decision model | 86.6%78.4% to 92.0% | 84 of 97 |
| Winnow-12B1 question per request · Decision model | 86.6%78.4% to 92.0% | 84 of 97 |
| Elephant-11 question per request · Decision model | 85.6%77.2% to 91.2% | 83 of 97 |
| Qwen3.8-27Byes/no scoring · 1 question per request · Chat model | 85.6%77.2% to 91.2% | 83 of 97 |
| Perplexity Decider Flash v1.2local · 1 question per request · Decision model | 80.4%71.4% to 87.1% | 78 of 97 |
| Clef-flash1 question per request · Decision model | 79.4%70.3% to 86.2% | 77 of 97 |
| Erk-14Breasoning off · 16 questions per request · Chat model | 79.4%70.3% to 86.2% | 77 of 97 |
| Qwen3-14Breasoning off · 16 questions per request · Chat model | 78.4%69.2% to 85.4% | 76 of 97 |
| Microsoft-Decision-1via OpenRouter · 1 question per request · Decision model | 75.3%65.8% to 82.8% | 73 of 97 |
| Metask-Jev 4B1 question per request · Decision model | 68.0%58.2% to 76.5% | 66 of 97 |
| Liquid d1-2B (open weights)1 question per request · Decision model | 41.2%32.0% to 51.2% | 40 of 97 |
| meraGPT Decider 11 question per request · Decision model | 37.1%28.2% to 47.0% | 36 of 97 |
| GLiNER2.5-multi-Decide1 question per request · Decision model | 24.7%17.2% to 34.2% | 24 of 97 |
| Laya multilingual1 question per request · Decision model | 16.5%10.4% to 25.1% | 16 of 97 |
| Laya1 question per request · Decision model | 15.5%9.6% to 24.0% | 15 of 97 |
| GLiNER2.5 Multi (base)1 question per request · Chat model | 14.4%8.8% to 22.8% | 14 of 97 |
| Strands Decider 2B1 question per request · Decision model | 12.4%7.2% to 20.4% | 12 of 97 |
Its questions
| ID | Page | Number | Answer key | Setups right | Decision models right |
|---|---|---|---|---|---|
| 569 | 139 | 1 | E | 68 of 74 | 32 of 37 |
| 570 | 139 | 2 | B | 59 of 74 | 29 of 37 |
| 571 | 140 | 3 | C | 69 of 74 | 33 of 37 |
| 572 | 140 | 5 | C | 62 of 74 | 26 of 37 |
| 573 | 140 | 6 | E | 63 of 74 | 29 of 37 |
| 574 | 140 | 4 | D | 68 of 74 | 32 of 37 |
| 575 | 141 | 1 | E | 66 of 74 | 32 of 37 |
| 576 | 141 | 3 | D | 66 of 74 | 31 of 37 |
| 577 | 141 | 4 | E | 68 of 74 | 31 of 37 |
| 578 | 141 | 2 | B | 66 of 74 | 31 of 37 |
| 579 | 142 | 5 | E | 69 of 74 | 33 of 37 |
| 580 | 142 | 7 | A | 60 of 74 | 23 of 37 |
| 581 | 142 | 6 | E | 69 of 74 | 33 of 37 |
| 582 | 142 | 8 | E | 68 of 74 | 32 of 37 |
| 596 | 146 | 5 | D | 67 of 74 | 31 of 37 |
| 597 | 146 | 7 | E | 33 of 74 | 21 of 37 |
| 598 | 146 | 6 | A | 66 of 74 | 30 of 37 |
| 599 | 146 | 8 | A | 69 of 74 | 32 of 37 |
| 600 | 147 | 1 | A | 69 of 74 | 33 of 37 |
| 601 | 147 | 3 | E | 69 of 74 | 33 of 37 |
| 602 | 147 | 2 | D | 69 of 74 | 33 of 37 |
| 603 | 147 | 4 | C | 66 of 74 | 30 of 37 |
| 604 | 148 | 5 | D | 61 of 74 | 26 of 37 |
| 605 | 148 | 7 | A | 60 of 74 | 29 of 37 |
| 606 | 148 | 6 | E | 69 of 74 | 33 of 37 |
| 607 | 148 | 8 | D | 45 of 74 | 16 of 37 |
| 620 | 152 | 5 | B | 66 of 74 | 30 of 37 |
| 621 | 152 | 7 | D | 69 of 74 | 33 of 37 |
| 622 | 152 | 6 | C | 69 of 74 | 33 of 37 |
| 623 | 152 | 8 | B | 61 of 74 | 27 of 37 |
| 628 | 154 | 7 | C | 61 of 74 | 26 of 37 |
| 629 | 154 | 5 | E | 68 of 74 | 32 of 37 |
| 630 | 154 | 8 | E | 68 of 74 | 33 of 37 |
| 631 | 154 | 6 | E | 71 of 74 | 34 of 37 |
| 632 | 155 | 1 | B | 65 of 74 | 31 of 37 |
| 633 | 155 | 3 | A | 69 of 74 | 32 of 37 |
| 634 | 155 | 2 | E | 69 of 74 | 33 of 37 |
| 635 | 155 | 4 | B | 64 of 74 | 31 of 37 |
| 640 | 157 | 1 | E | 45 of 74 | 24 of 37 |
| 641 | 157 | 2 | B | 67 of 74 | 31 of 37 |
| 642 | 158 | 3 | C | 63 of 74 | 30 of 37 |
| 643 | 158 | 5 | A | 65 of 74 | 29 of 37 |
| 644 | 158 | 4 | D | 68 of 74 | 32 of 37 |
| 645 | 158 | 6 | D | 69 of 74 | 33 of 37 |
| 646 | 159 | 1 | D | 69 of 74 | 34 of 37 |
| 647 | 159 | 3 | B | 69 of 74 | 33 of 37 |
| 648 | 159 | 2 | D | 48 of 74 | 18 of 37 |
| 649 | 159 | 4 | A | 68 of 74 | 32 of 37 |
| 650 | 160 | 5 | C | 65 of 74 | 28 of 37 |
| 651 | 160 | 7 | E | 65 of 74 | 29 of 37 |
| 653 | 160 | 8 | E | 68 of 74 | 32 of 37 |
| 654 | 161 | 1 | C | 41 of 74 | 14 of 37 |
| 655 | 161 | 2 | E | 62 of 74 | 28 of 37 |
| 656 | 161 | 3 | C | 32 of 74 | 8 of 37 |
| 661 | 163 | 2 | C | 70 of 74 | 34 of 37 |
| 662 | 163 | 1 | E | 69 of 74 | 33 of 37 |
| 663 | 163 | 3 | D | 69 of 74 | 33 of 37 |
| 3249 | 143 | 3 | D | 66 of 74 | 32 of 37 |
| 3250 | 143 | 1 | D | 67 of 74 | 31 of 37 |
| 3251 | 143 | 4 | B | 66 of 74 | 30 of 37 |
| 3252 | 143 | 2 | B | 68 of 74 | 32 of 37 |
| 3253 | 144 | 5 | D | 67 of 74 | 31 of 37 |
| 3254 | 144 | 7 | B | 71 of 74 | 35 of 37 |
| 3255 | 144 | 6 | D | 70 of 74 | 34 of 37 |
| 3256 | 144 | 8 | C | 19 of 74 | 10 of 37 |
| 3257 | 145 | 1 | D | 67 of 74 | 31 of 37 |
| 3258 | 145 | 3 | E | 69 of 74 | 33 of 37 |
| 3259 | 145 | 2 | E | 69 of 74 | 33 of 37 |
| 3260 | 145 | 4 | E | 70 of 74 | 34 of 37 |
| 3261 | 149 | 1 | C | 70 of 74 | 34 of 37 |
| 3262 | 149 | 3 | A | 71 of 74 | 34 of 37 |
| 3263 | 149 | 2 | C | 68 of 74 | 32 of 37 |
| 3264 | 149 | 4 | E | 68 of 74 | 31 of 37 |
| 3265 | 150 | 5 | E | 54 of 74 | 22 of 37 |
| 3266 | 150 | 7 | B | 54 of 74 | 25 of 37 |
| 3267 | 150 | 6 | E | 67 of 74 | 31 of 37 |
| 3268 | 150 | 8 | A | 69 of 74 | 32 of 37 |
| 3269 | 151 | 1 | C | 67 of 74 | 31 of 37 |
| 3270 | 151 | 3 | B | 70 of 74 | 34 of 37 |
| 3271 | 151 | 2 | B | 35 of 74 | 9 of 37 |
| 3272 | 151 | 4 | B | 67 of 74 | 31 of 37 |
| 3273 | 153 | 1 | E | 65 of 74 | 29 of 37 |
| 3274 | 153 | 3 | A | 57 of 74 | 24 of 37 |
| 3275 | 153 | 2 | A | 60 of 74 | 26 of 37 |
| 3276 | 153 | 4 | E | 56 of 74 | 22 of 37 |
| 3277 | 156 | 5 | B | 69 of 74 | 34 of 37 |
| 3278 | 156 | 7 | E | 67 of 74 | 31 of 37 |
| 3279 | 156 | 8 | A | 69 of 74 | 33 of 37 |
| 3280 | 156 | 6 | B | 64 of 74 | 28 of 37 |
| 3281 | 162 | 4 | E | 71 of 74 | 35 of 37 |
| 3282 | 162 | 6 | E | 65 of 74 | 31 of 37 |
| 3283 | 162 | 5 | E | 60 of 74 | 27 of 37 |
| 3284 | 162 | 7 | B | 64 of 74 | 29 of 37 |
| 3285 | 164 | 4 | A | 71 of 74 | 34 of 37 |
| 3286 | 164 | 6 | B | 67 of 74 | 31 of 37 |
| 3287 | 164 | 5 | A | 28 of 74 | 6 of 37 |
| 3288 | 164 | 7 | E | 63 of 74 | 29 of 37 |