Модели

12 канонических LLM-моделей от всех провайдеров

Показаны модели 1–12 из 12

MiniMax M3

Китай

MiniMax's frontier open-weight model with 1M-token context window, native multimodality (text, image, video), and strong coding capabilities. Built on MiniMax Sparse Attention (MSA) architecture, achieving 59% on SWE-Bench Pro with significantly improved efficiency at long context.

Контекст
1.0M
Добавлена
июнь 2026 г.

Solar Pro 3

Республика Корея

Upstage's powerful Mixture-of-Experts language model with 102B total parameters and 12B active parameters per forward pass. Optimized for Korean with strong English and Japanese support. Excels at complex reasoning, structured output generation, and agentic workflows.

Контекст
128K
Добавлена
май 2026 г.

Gemini 3.1 Flash-Lite

Соединенные Штаты

Google's most cost-efficient Gemini model optimized for high-volume, low-latency use cases. Delivers 2.5x faster time to first token versus Gemini 2.5 Flash with full multimodal support. Ideal for agentic tasks, data extraction, translation, and classification.

Контекст
1.0M
Добавлена
май 2026 г.

Gemini 3.5 Flash

Соединенные Штаты

Google DeepMind's balanced Gemini 3.5 model that pairs Pro-line reasoning quality with Flash-line latency and cost. Natively multimodal across text, image, audio, and video with a 1M-token context window, configurable thinking levels, and streaming function calling, tuned for high-throughput production workloads.

Контекст
1.0M
Добавлена
май 2026 г.

Gemini 3 Flash

Соединенные Штаты

Google's balanced model combining Gemini 3 Pro's reasoning capabilities with the Flash line's latency, efficiency, and cost. Features configurable thinking levels, multimodal function responses, and streaming function calling for complex agentic workflows.

Контекст
1.0M
Добавлена
май 2026 г.

Laguna M.1

Соединенные Штаты

Poolside AI's flagship agentic coding model with 225B total parameters and 23B active (MoE). Trained from scratch in-house on 30T tokens across 6,144 NVIDIA Hopper GPUs. Optimized for complex multi-step software engineering tasks including codebase exploration, file editing, test running, and iterative debugging.

Контекст
128K
Добавлена
апр. 2026 г.

MiniMax M2.7

Китай

MiniMax's latest large language model with strong multilingual and multimodal capabilities. Competitive pricing with high-quality text generation and improved reasoning performance.

Контекст
200K
Добавлена
март 2026 г.

Kimi K2.6

Китай

Moonshot AI's latest model with ultra-long context window support, strong reasoning capabilities, and excellent performance on complex multi-step tasks. Known for reliable long-document understanding.

Контекст
1.0M
Добавлена
март 2026 г.

GLM-5.1

Китай

Zhipu AI's latest bilingual model with strong Chinese and English capabilities. Features improved reasoning, coding, and tool use with competitive performance on academic benchmarks.

Контекст
131K
Добавлена
март 2026 г.

Mistral Medium 3.5

Франция

Mistral AI's balanced model offering strong multilingual performance with excellent price-performance ratio. Optimized for production workloads requiring reliable quality across European and global languages.

Контекст
128K
Добавлена
февр. 2026 г.

Grok 4.1 Fast

Соединенные Штаты

xAI's fast and cost-effective model with 2M token context window. Offers both reasoning and non-reasoning modes at significantly lower pricing than flagship models.

Контекст
2.0M
Добавлена
нояб. 2025 г.

Gemini 2.5 Flash

Соединенные Штаты

Google's cost-effective model optimized for high throughput tasks. Balances speed and intelligence with strong multimodal capabilities and 1M token context window.

Контекст
1.0M
Добавлена
июнь 2025 г.