Beam
An open-weight 501B mixture-of-experts model from Reflection for coding and agentic tasks, with a 1M-token context window.
- Type
- Open-Weight
- Context
- 1M
- Weights
- Open
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Every notable AI model with provider, license, context window, modalities and benchmarks.
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An open-weight 501B mixture-of-experts model from Reflection for coding and agentic tasks, with a 1M-token context window.
Meta's open-weight multimodal mixture-of-experts model, trained for agentic coding, with roughly 816B parameters and a 1M-token context.
Google's family of lightweight open models from 1B to 27B parameters, with image input on larger sizes, 128K context and support for 140+ languages.
Alibaba's open-source video generation models (1.3B and 14B) for text-to-video and image-to-video, released under Apache 2.0.
Google's fast multimodal model with a 1M-token context window, native tool use and input across text, images, audio and video.
A tiny 82-million-parameter open text-to-speech model with natural-sounding voices, small enough to run quickly on ordinary hardware.
DeepSeek's open-weight reasoning model trained with large-scale reinforcement learning, matching leading reasoning models at release under MIT.
Microsoft's 14-billion-parameter small language model trained heavily on high-quality synthetic data, strong at math and reasoning for its size.
OpenAI's first reasoning model family, trained to think with long internal chains of thought before answering hard math, science and coding problems.
Tencent's 13-billion-parameter open-weight text-to-video model, one of the largest openly released video generation models of 2024.
Alibaba's open-weight 32B coding model, one of the strongest open code models of its generation, released under Apache 2.0.
Stability AI's 8.1-billion-parameter open text-to-image model, free for research and for businesses below a revenue threshold.
A 12-billion-parameter open-weight text-to-image model from Black Forest Labs, known for strong prompt adherence and text rendering.
Meta's Segment Anything Model 2, which segments any object in images and tracks it through videos from simple clicks or boxes.
Mistral AI's 123-billion-parameter flagship language model from 2024, with a 128K context window, strong coding and multilingual skills.
Meta's largest Llama 3.1 model: a 405-billion-parameter open-weight language model with a 128K context window and multilingual support.
Mistral AI's first code model: 22 billion parameters trained on 80+ programming languages, with fill-in-the-middle support for completion.
OpenAI's "omni" model that natively processes text, images and audio, enabling fast, natural voice conversations and image understanding.
Open multilingual embedding model from the Beijing Academy of AI supporting dense, sparse and multi-vector retrieval in over 100 languages.
OpenAI's large embedding model producing vectors of up to 3,072 dimensions for search, retrieval and clustering, with adjustable dimensions.
OpenAI's open-source speech recognition model for transcription and translation into English across dozens of languages.
Meta's open music generation model that creates instrumental music from text descriptions, optionally guided by a melody.
Suno's open transformer model that generates realistic multilingual speech, plus music, background noise and non-verbal sounds from text.
OpenAI's contrastive image-text model that embeds images and text in a shared space, enabling zero-shot classification and image search.