Инструменты искусственного интеллекта для разработки научных журналов в области геномики и биотехнологии: всесторонний обзор и этические рамки
Frontier LLM performance on graduate-level scientific reasoning (GPQA Diamond) and key context and release data, as of May 2026
Model | Developer | Release | GPQA Diamond | Context window | Notes on willingness for diagnostic biotech |
GPT-5 / GPT-5 Pro | OpenAI | Aug 2025 | 88.4–89.4% (Pro, no tools) | 256K–400K | Generally engaged, medical-domain stress-tested |
GPT-5.2 / GPT-5.2 Pro | OpenAI | Late 2025 | 92.4–93.2% | 400K | State-of-the-art reasoning |
Gemini 2.5 Pro | Google DeepMind | Mar 2025 | ~86.4% | 1,048,576 (1M) tokens | Strong AI Co-Scientist multi-agent (Nature 2025) |
Grok 4 / Grok 4 Heavy | xAI | Jul 2025 | 87–88.9% (Heavy) | 256K (API) | Less restrictive on scientific content |
Claude Opus 4.5 | Anthropic | Late 2025 | ~87% | 200K | Documented over-restriction, 0.23 % benign refusal vs. 0.05% Sonnet 4.5 |
DeepSeek V3 / V3.1 / R1 | DeepSeek-AI | Dec 2024 – 2026 | 68.4 → 81 (R1-0528) | 128K | Open-weights MIT license |
Llama 4 Scout / Maverick | Meta | 2026 | ~75–80 % | 10M (Scout) | Open weights, best for self-hosted long context |
Mistral Large 3 | Mistral AI | 2026 | ~75% | 128K | EU-based, Apache 2.0 (Large 3 / Small 4) |
Qwen 3 / 3.5 | Alibaba | 2026 | 81.7 (Qwen 3.5-9B), 90+ flagship | Up to 1M | Apache 2.0, multilingual (29–201 languages) |
