LLM Models

Google's image generation and editing model (preview), part of the Gemini ecosystem, producing high-fidelity images with strong prompt adherence and editing controls.

Google DeepMind's video generation model, producing high-quality video with audio from text and image prompts. Available in preview through the Gemini API.

Alibaba's large-scale proprietary MoE model (January 2025), pretrained on over 20 trillion tokens and post-trained with SFT and RLHF. Served via the Alibaba Cloud API, Qwen2.5-Max competes with leading frontier models on knowledge, reasoning, and coding benchmarks.

Alibaba's open-weight 32B reasoning model (March 2025, Apache 2.0), which uses reinforcement learning to reach reasoning performance competitive with much larger models and to beat o1 on some benchmarks, at a size that runs on a single high-end GPU.

Alibaba's most powerful open-weight coding model (July 2025), a 480B-parameter mixture-of-experts with 35B active parameters built for agentic coding. It targets repository-scale software tasks with a very long context window and strong tool-use and code-generation performance.

Alibaba's flagship open-weight Qwen3 model (April 2025), a 235B-parameter mixture-of-experts that activates 22B parameters per token. Trained on ~36T tokens across 119 languages under Apache 2.0, it supports seamless switching between a thinking mode for hard reasoning and a fast non-thinking mode, and is competitive with DeepSeek-R1, o1, o3-mini, and Gemini 2.5 Pro.

Alibaba's flagship proprietary Qwen model (May 2026) with a 1M-token context window, native extended-thinking mode, and benchmark wins on SWE-Pro and Terminal-Bench. API-only via DashScope (no open weights).

Alibaba's February 2026 Qwen update: a 397B-total / 17B-active sparse mixture-of-experts model with a 1M-token native context window and coverage of 201 languages. Open-weight tiers are released under the Apache 2.0 license.

Mistral's April 2026 mid-tier model: a 128B dense transformer with a 256K-token context window and strong coding performance (77.6% on SWE-bench Verified), released as open weights under a modified MIT license.

Mistral's December 2025 open-weights flagship: a 675B-total / ~41B-active sparse mixture-of-experts model with native vision, a 256K-token context window, and strong multilingual support - released under the permissive Apache 2.0 license.

xAI's first dedicated reasoning model (February 2025), trained on the Colossus supercluster and reported to outperform GPT-4o on academic benchmarks such as AIME 2025 and GPQA. Grok 3 serves a 131K-token context window via the xAI API and introduced Think and Big Brain reasoning modes.

xAI's frontier model at its July 2025 launch, positioned as its most capable reasoning model with native tool use and real-time search integration from X. Grok 4 features a 256K-token context window, and a Grok 4 Heavy multi-agent tier is offered to SuperGrok Heavy subscribers.