Beam
PulseAugur coverage of Beam — every cluster mentioning Beam across labs, papers, and developer communities, ranked by signal.
- developed by Reflection Ai 90%
- instance of Claude (Opus 5.5) 90%
- used by Reflection Ai 70%
- competes with Muse Spark Open 70%
- competes with GLM-5.2 70%
- competes with Mistral Large 4 70%
- instance of Muse Spark Open 70%
- competes with Kimi k3 70%
- competes with Claude (Opus 5.5) 70%
- competes with Qwen 3.8-Max 70%
- competes with Reflection Ai 60%
- affiliated with Reflection Ai 50%
- 2026-11-02 research_milestone Reflection lab announced an AMA session to discuss their open-weight model, Beam. source
- 2026-10-18 product_launch Reflection released its open-weight model, Beam, with 501B total parameters and a 1M token context window. source
- 2026-10-17 product_launch Reflection AI released the Beam model and its associated training harness, Mirror CLI. source
- 2026-10-17 product_launch Reflection AI released the weights for its 500 billion parameter Beam model on Hugging Face. source
- 2026-10-16 product_launch The transformers library version 5.20.1 added support for the new Beam model from Reflection AI. source
- 2026-10-16 product_launch Hugging Face has launched Beam, a 501 billion parameter open-source Mixture-of-Experts large language model. source
- 2026-10-15 product_launch Reflection AI has launched Beam, an open-weight AI model with 501 billion total parameters. source
- 2026-10-15 product_launch Reflection AI has released Beam, a 501-billion-parameter open-weight model with a focus on efficient inference. source
- 2026-10-15 product_launch Reflection AI launched its Beam model, an open-weight AI model with 501 billion total parameters and 23 billion active parameters. source
- 2026-10-10 product_launch Reflection has unveiled its Beam AI model for coding and tool tasks. source
- 2026-10-05 product_launch Reflection has unveiled its new open-source agentic model named Beam. source
- 2026-10-05 product_launch Reflection AI launched its first open-source model, Beam, a 501 billion parameter Mixture-of-Experts model. source
- 2026-10-05 product_launch Beam announced a new open-source AI model with 501 billion parameters, with full weights to be released later this month. source
- 2026-10-05 product_launch Beam has launched a new AI model with 501 billion parameters for code review. source
- 2026-10-05 product_launch Reflection has launched Beam, a new 501 billion parameter open-weight model. source
13 day(s) with sentiment data
Beam's training process highlights massive compute demands for open-source frontier models
The training of Beam, a 501B parameter MoE model, involved 10,500 GPUs and processing 46.4 million daily sandboxes. This scale of computational resource allocation, with 90% of frontier lab compute dedicated to post-training and inference, underscores the escalating costs and infrastructure requirements for developing competitive open-source large language models.
Beam AI to release specialized enterprise fine-tunes within 6 months
Beam AI's recent launch of a 501B parameter open-source model, trained with significant GPU resources and RL rollouts, suggests a strong foundation. Given the emerging trend of Western open-weight models serving as enterprise alternatives, it's plausible Reflection AI will build on this by offering specialized, fine-tuned versions of Beam for enterprise use cases, focusing on data control and compliance.
Beam's performance on cybersecurity benchmarks to be evaluated against Mistral's 'Le Chonk'
With Mistral AI's 'Le Chonk' model showing strong performance on cybersecurity benchmarks (82% on AA Cyber Index), and Beam being a new, large open-source model, there's a high likelihood that the AI community will soon benchmark Beam against 'Le Chonk' on similar tasks. This direct comparison will be crucial for understanding the relative strengths of these Western open-weight models.
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AI agents' conversation history needs analyzed in new arXiv study
A new arXiv paper investigates the impact of reduced conversational history on AI agent performance, finding that while larger context windows generally improve scores, the gains diminish at higher budgets. The study al…
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Ricursive Intelligence releases Ripple-65B Preview, a 65B open-weight coding model · 8 sources tracked
Ricursive Intelligence has released Ripple-65B Preview, a 65-billion-parameter open-weight language model. This model achieves a strong performance on the TerminalBench 2.1 coding benchmark, scoring 80.5 and surpassing …
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Reflection Lab Hosts AMA on Beam Open-Weight Model
Reflection, the lab behind the Beam model, hosted an Ask Me Anything (AMA) session on Reddit. The product team discussed Beam, their recently launched open-weight 501B model. They provided links to the model weights on …
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LLM fine-tuning advances: GRPO, LoRA insights, and efficient methods · 8 sources tracked
Recent developments in LLM fine-tuning highlight the continued effectiveness of GRPO over data-centric methods, with new research providing mechanistic insights into LoRA and its optimization. A paper on LoRA's layer sp…
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llama.cpp v0.8.0 adds LiquidAI LFM3, DeepSeek V4.1 Flash, and new audio APIs
The llama.cpp project has released version 0.8.0, introducing support for a wide array of new models including the LiquidAI LFM3 family, DeepSeek V4.1 Flash, and Nemotron-3(.5)-Embed. This update also brings significant…
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AI coding tool Beam excels in self-correction loops
The AI coding tool Beam, developed by reflection, has shown mixed results when used independently but performs well in a loop where it can self-correct. Its primary function is described as a "reasoning dial," and the 1…
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FactoryAI tests Reflection's Beam model via Together AI
FactoryAI is leveraging Reflection's Beam model via Together AI for testing and development. This collaboration allows FactoryAI to evaluate Beam's capabilities in real-world coding and agentic workflows, including aspe…
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FactoryAI tests Reflection AI's model on Together's Beam platform
FactoryAI gained early access to Together's Beam inference platform, utilizing this period to rigorously test Reflection AI's model. Their evaluation focused on critical agentic workflows such as error recovery, conflic…
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NVIDIA's Nemotron 3.5 Bolt is the only 24GB open-weight model released this week
Over a 72-hour period, four major open-weight large language models were released, with NVIDIA's Nemotron 3.5 Bolt being the only one designed to fit within a 24GB memory footprint. Meta's Muse Spark Open, Reflection's …
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Reflection releases 501B parameter open-weight model Beam with 1M context
Reflection has released its new open-weight model, Beam, featuring a sparse mixture-of-experts architecture with 501 billion total parameters and 23 billion active parameters per token. The model boasts a 1 million toke…
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Tech giants release open-weight AI models to boost developer engagement and challenge rivals
Several technology companies are releasing open-weight AI models, including Muse Spark Open, Beam, Nemotron, and Timestral. This strategy aims to attract developers, compete with Chinese AI companies, and bolster their …
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Reflection AI open-sources 501B Beam model and training harness
Reflection AI has released Beam, a 501 billion parameter open-weight model, under the permissive Apache 2.0 license. Alongside the model weights, the company has also open-sourced Mirror CLI, their training harness, whi…
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Gemini 4, Meta's Muse Spark Open, and Beam lead wave of frontier model releases · 1 source tracked
Several major AI labs have released new frontier-class models, including Google DeepMind's Gemini 4 Argon, a 1M-token context model for complex tasks. Meta AI has launched Muse Spark Open, an 816B parameter open-weight …
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Reflection AI releases 500B parameter Beam model weights on Hugging Face
Reflection AI has released the weights for its 500 billion parameter model, Beam, making them available on Hugging Face. The release includes training recipes, evaluation tools, and inference engine configurations, allo…
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llama.cpp project releases pre-updates with OS and model optimizations
The llama.cpp project has released several pre-release updates, including b11732 which fixes a CUDA warning and adds support for various operating systems like macOS, iOS, Linux, Android, Windows, and OpenEuler. Release…
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Transformers library adds Reflection AI's Beam model, optimized for coding and agents
The transformers library has released version 5.20.1, introducing support for Reflection AI's new model, Beam. This model is designed to be token-efficient and suitable for frontier-scale applications, with a particular…
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Hugging Face releases Beam, a 501B parameter open MoE model with 1M context
Hugging Face has released Beam, a 501 billion parameter Mixture-of-Experts (MoE) large language model designed for coding and agentic tasks. Beam boasts a 1 million token context window and features a unique architectur…
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Hugging Face Transformers adds Beam, Muse Spark Open, and more in recent releases
The Hugging Face Transformers library has released version 5.20.1, which includes the new Beam model from Reflection AI, designed for efficient coding and agentic tasks. This release also addresses several bugs, includi…
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Reflection AI releases 501B parameter open-weight model Beam, targeting cost efficiency
Reflection AI has released Beam, an open-weight, sparse Mixture-of-Experts (MoE) model with 501 billion total parameters that activates only 23 billion per task. This design aims to offer the knowledge capacity of a lar…
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Ollama releases multiple new AI models via its library · 8 sources tracked
Ollama has announced the release of several new models, including minimax-m3.1-flash, bonsai-2, beam, kev, d1-omni, muse-spark-open, pplx-decider, and nimble-v3. These models are available through the Ollama library, wi…