Модели

8 канонических LLM-моделей от всех провайдеров

Показаны модели 1–8 из 8

Nemotron 3 Ultra

Соединенные Штаты

NVIDIA's flagship open 550B-parameter Mixture-of-Experts model with 55B active parameters, built for frontier reasoning and orchestration in long-running agentic systems. Features hybrid Mamba-Transformer architecture, LatentMoE routing, multi-token prediction, and NVFP4 precision for 5x higher throughput. Achieves 30% lower cost-to-task-completion on agentic benchmarks. Supports 1M+ token context window with 95% accuracy on Ruler@1M.

Контекст
1.0M
Добавлена
июнь 2026 г.

Hy3 Preview

Китай

Tencent's flagship open-weight Mixture-of-Experts model from the Hunyuan family with 295B total parameters and 21B active. Integrates fast and slow thinking modes with configurable reasoning effort. Designed for agentic workflows, cross-file code refactoring, long-document analysis, and multi-step tool use.

Контекст
256K
Добавлена
апр. 2026 г.

Nemotron 3 Super 120B

Соединенные Штаты

NVIDIA's open hybrid Mamba-Transformer MoE model with 120B total parameters (12B active). Features 1M token context window and excels at agentic reasoning, coding, planning, and tool calling.

Контекст
1.0M
Добавлена
апр. 2026 г.

GLM-4.7

Китай

Zhipu AI's multilingual agentic coding model with strong reasoning, tool use, and UI generation capabilities. Predecessor to GLM-5.1 with competitive performance on coding benchmarks.

Контекст
131K
Добавлена
окт. 2025 г.

Nemotron Nano 9B v2

Соединенные Штаты

NVIDIA's compact 9B parameter model trained from scratch for both reasoning and non-reasoning tasks. Generates reasoning traces before final responses. Efficient for edge and on-device deployment.

Контекст
131K
Добавлена
июнь 2025 г.

WiroAI Turkish LLM 9B

Турция

Turkish-specialized 9B language model developed by WiroAI, built on Google's Gemma 2 architecture. Fine-tuned with Supervised Fine-Tuning (SFT) on over 500,000 carefully curated high-quality Turkish instructions, specifically adapted to Turkish culture and local context. Demonstrates superior performance on Turkish language processing tasks including conversation, reasoning, and instruction following.

Контекст
8K
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.

DeepSeek V3

Китай

DeepSeek's third-generation large language model featuring mixture-of-experts architecture, strong multilingual capabilities, and competitive performance on reasoning and coding benchmarks.

Контекст
128K
Добавлена
дек. 2024 г.