Модели

32 канонические LLM-модели от всех провайдеров

Показаны модели 25–32 из 32

Mistral Large 3

Франция

Mistral AI's largest open-weight model with 41B active parameters (675B total MoE). State-of-the-art general-purpose multimodal model with 256K context window and powerful agentic capabilities. Released under Apache 2.0.

Контекст
256K
Добавлена
дек. 2025 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.

Claude Haiku 4.5

Соединенные Штаты

Anthropic's fastest model with near-frontier intelligence. Optimized for high-throughput, low-latency applications requiring quick responses at minimal cost. Supports extended thinking.

Контекст
200K
Добавлена
окт. 2025 г.

Claude Sonnet 4.5

Соединенные Штаты

Anthropic's previous-generation balanced model with strong coding and analysis capabilities. Offers excellent price-performance ratio for production workloads requiring reliable quality.

Контекст
200K
Добавлена
окт. 2025 г.

Gemini 2.5 Pro

Соединенные Штаты

Google's high-capability reasoning model with adaptive thinking for complex agentic and multimodal challenges. Features 1M token context window and strong performance on coding and scientific tasks.

Контекст
1.0M
Добавлена
июнь 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.

Llama 4 Scout

Соединенные Штаты

Meta's efficient MoE model with 17B active parameters (109B total, 16 experts). Supports up to 10M token context — the longest of any production model. Strong performance on reasoning and multilingual tasks.

Контекст
10.0M
Добавлена
апр. 2025 г.

Llama 4 Maverick

Соединенные Штаты

Meta's quality-focused MoE model with 17B active parameters (400B total, 128 experts). Targets quality-critical tasks with benchmark scores competitive with GPT-4o and Gemini 2.5 Pro.

Контекст
1.0M
Добавлена
апр. 2025 г.