Модели

9 канонических LLM-моделей от всех провайдеров

Показаны модели 1–9 из 9

GPT-5.6 Luna

Соединенные Штаты

The fast, low-cost tier of OpenAI's GPT-5.6 series, optimized for high-volume, latency-sensitive tasks such as classification, extraction, routing, and lightweight agentic steps. Approaches the larger GPT-5.6 tiers on many benchmarks while running several times faster at a fraction of the price.

Контекст
400K
Добавлена
июль 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.

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.

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.

GPT-5.4 Mini

Соединенные Штаты

OpenAI's compact reasoning model optimized for coding, computer use, and subagent tasks. Approaches GPT-5.4 performance on several benchmarks while running more than 2x faster.

Контекст
1.1M
Добавлена
апр. 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.

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.

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.