gpt-6-astra
54.8%±1.9%
52.9%CI56.7%
Română · beta. Traducerea a fost făcută automat și este încă în curs de revizuire. Citește pagina în engleză
aiqbench · Benchmark-uri LLM
54.8%±1.9%
52.9%CI56.7%
46.5%±2.0%
44.5%CI48.5%
46.4%±2.0%
44.5%CI48.4%
O singură grilă, toate coloanele. Alege axe din panoul Axe — o axă clasifică precum un singur clasament, mai multe se combină într-un scor compus ponderat, toate la un loc se citesc ca indexul. Locul este atribuit înaintea oricărui filtru și nu se renumerotează niciodată.
| Model | Organizație | ± CI | Oscilație | Adaugă la comparație | |||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | gpt-6-astra | OpenAI | sept. 2026 | $10 / $50 | 54.8% | 52.9%–56.7% | #1–18 | ||
| 2 | claude-fable-5-1 | Anthropic | sept. 2026 | $10 / $50 | 46.5% | 44.5%–48.5% | #2–21 | ||
| 3 | gemini-3.1-pro-preview | Google DeepMind | sept. 2026 | $2 / $12 | 46.4% | 44.5%–48.4% | #9–36 | ||
| 4 | claude-sonnet-5-5 | Anthropic | oct. 2026 | $2 / $10 | 46.1% | 44.2%–48.1% | #4–26 | ||
| 5 | gemini-3.8-flash | Google DeepMind | oct. 2026 | $0.83 / $4.13 | 44.5% | 42.6%–46.5% | #2–29 | ||
| 6 | gpt-5.4-pro-2026-03-05 | OpenAI | mar. 2026 | $30 / $180 | 44.3% | 42.4%–46.3% | #20–171 | ||
| 7 | muse-spark | Meta AI | sept. 2026 | — | 40.6% | 38.6%–42.5% | #16–40 | ||
| 8 | gemini-3-pro-preview | Google DeepMind | — | — | 37.5% | 35.6%–39.4% | #19–120 | ||
| 9 | gpt-5.4-2026-03-05 | OpenAI | sept. 2026 | $2.50 / $15 | 36.2% | 34.4%–38.1% | #12–29 | ||
| 10 | claude-opus-4-7 | Anthropic | sept. 2026 | $5 / $25 | 36.2% | 34.3%–38.1% | #1–18 | ||
| 11 | claude-opus-4-6 | Anthropic | sept. 2026 | $5 / $25 | 34.4% | 32.6%–36.3% | #2–25 | ||
| 12 | gpt-5-pro-2025-10-06 | OpenAI | oct. 2025 | $15 / $120 | 31.6% | 29.8%–33.5% | #88–166 | ||
| 13 | claude-haiku-5-5 | Anthropic | oct. 2026 | $0.10 / $0.50 | 30.1% | 28.3%–31.9% | #43–277 | ||
| 14 | gpt-5.2-2025-12-11 | OpenAI | dec. 2025 | $1.75 / $14 | 27.8% | 26.0%–29.6% | #34–92 | ||
| 15 | gpt-5-2025-08-07 | OpenAI | aug. 2025 | $1.25 / $10 | 25.3% | 23.6%–27.0% | #64–149 | ||
| 16 | claude-opus-4-5-20251101 | Anthropic | nov. 2025 | $5 / $25 | 25.2% | 23.5%–26.9% | #20–62 | ||
| 17 | kimi-k2.5 | Moonshot | ian. 2026 | $0.50 / $2.50 | 24.4% | 22.6%–26.2% | #70–446 | ||
| 18 | gpt-5.1-2025-11-13 | OpenAI | nov. 2025 | $1.25 / $10 | 23.7% | 22.0%–25.4% | #45–242 | ||
| 19 | gemini-2.5-pro-preview-06-05 | Google DeepMind | iun. 2025 | $1.25 / $10 | 21.6% | 20.0%–23.3% | #137–352 | ||
| 20 | o3-2025-04-16 | OpenAI | apr. 2025 | $2 / $8 | 20.3% | 18.7%–21.9% | #79–318 | ||
| 21 | gpt-5-mini-2025-08-07 | OpenAI | aug. 2025 | $0.25 / $2 | 19.4% | 17.9%–21.0% | #126–343 | ||
| 22 | gemini-2.5-pro-exp-03-25 | Google DeepMind | — | — | 18.2% | 16.6%–19.7% | #138–147 | ||
| 23 | o4-mini-2025-04-16 | OpenAI | apr. 2025 | $1.10 / $4.40 | 18.1% | 16.6%–19.6% | #129–274 | ||
| 24 | gemini-2.5-pro-preview-05-06 | Google DeepMind | mai 2025 | $1.25 / $10 | 17.8% | 16.3%–19.3% | #226–424 | ||
| 25 | claude-sonnet-4-5-20250929 | Anthropic | sept. 2025 | $3 / $15 | 13.7% | 12.4%–15.1% | #66–232 | ||
| 26 | gemini-2.5-flash-preview-04-17 | Google DeepMind | — | — | 12.1% | 10.8%–13.4% | #215–273 | ||
| 27 | claude-opus-4-1-20250805 | Anthropic | aug. 2025 | $15 / $75 | 11.5% | 10.3%–12.8% | #73–404 | ||
| 28 | gemini-2.5-flash-preview-05-20 | Google DeepMind | — | — | 11.0% | 9.7%–12.2% | #308–396 | ||
| 29 | claude-opus-4-20250514 | Anthropic | mai 2025 | — | 10.7% | 9.5%–11.9% | #84–469 | ||
| 30 | gemini-3.1-flash-lite | — | $0.25 / $1.50 | 8.6% | 7.5%–9.7% | #170–210 | |||
| 31 | glm-4.5 | Z.ai (Zhipu AI),Tsinghua University | iul. 2025 | $0.60 / $2.20 | 8.3% | 7.2%–9.4% | #107–209 | ||
| 32 | GLM-4.5-Air | Z.ai (Zhipu AI),Tsinghua University | iul. 2025 | $0.13 / $0.85 | 8.1% | 7.0%–9.2% | #138–417 | ||
| 33 | o1-pro-2025-03-19 | OpenAI | dec. 2024 | $150 / $600 | 8.1% | 7.0%–9.2% | #290–558 | ||
| 34 | claude-3-7-sonnet-20250219 | Anthropic | feb. 2025 | — | 8.0% | 7.0%–9.1% | #128–358 | ||
| 35 | o1-2024-12-17 | OpenAI | dec. 2024 | $15 / $60 | 8.0% | 6.9%–9.0% | #127–229 |
Se afișează Humanity's Last Exam exact așa cum a publicat-o sursa — propriul scor și interval de încredere, fără mix. Selectează o a doua axă ca să construiești un scor compus ponderat.