Laguna S 2.1
PulseAugur coverage of Laguna S 2.1 — every cluster mentioning Laguna S 2.1 across labs, papers, and developer communities, ranked by signal.
- 2026-07-24 product_launch Poolside released the Laguna S 2.1 model. source
- 2026-07-23 product_launch Poolside released its Laguna S 2.1 AI model, which demonstrates superior performance over larger models through self-revision and persistence. source
- 2026-07-23 product_launch Poolside released the Laguna S 2.1 model, demonstrating strong performance through agent efficiency. source
- 2026-07-23 product_launch Poolside released its new open-weight coding model, Laguna S 2.1. source
- 2026-07-23 product_launch Poolside AI released its Laguna S 2.1 model. source
- 2026-07-22 product_launch Poolside has released Laguna S 2.1. source
- 2026-07-22 product_launch Poolside AI has released its Laguna S 2.1 model. source
- 2026-07-22 product_launch Poolside released an update for the Laguna S 2.1 model to fix a looping issue. source
- 2026-07-22 product_launch Poolside released its new Laguna S 2.1 AI model, which is an open-source model outperforming larger competitors. source
- 2026-07-22 product_launch Poolside released the Laguna S 2.1 model. source
- 2026-07-22 product_launch Unsloth released quantized versions of the Laguna S 2.1 model. source
- 2026-07-21 product_launch Laguna S 2.1, a coding-focused AI model, has been released and is now available on Vercel's AI Gateway. source
- 2026-07-21 product_launch Laguna S 2.1 model is now available on Vercel's AI Gateway. source
- 2026-07-21 product_launch Poolside released an update to their AI model, Laguna S 2.1. source
- 2026-07-21 product_launch Laguna S 2.1, a new large language model, has been released, offering a competitive alternative in terms of cost and performance. source
5 day(s) with sentiment data
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Laguna S 2.1 model shows benchmark strength but practical inference weakness
The Laguna S 2.1 model performs well in coding benchmarks but struggles with practical throughput during local inference. When compared against Qwen 3.6 on DGX Spark hardware, the disparity between benchmark scores and …
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Poolside releases Laguna S 2.1 open-source model with 262k token context
Poolside has released Laguna S 2.1, a new open-source model with a context window of 262.1k tokens. This model is available for free, offering a significant context length for users.
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Small AI model Laguna S 2.1 outperforms larger rivals by revising its work
Poolside's Laguna S 2.1, a smaller AI model, has demonstrated the ability to outperform larger models. This is achieved through its capacity for self-revision and persistence during complex, long-duration tasks. Notably…
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Poolside's Laguna S 2.1 model prioritizes agent efficiency over scale
Poolside's Laguna S 2.1 model demonstrates that agent efficiency can outperform raw scale, achieving a 70.2% score on the Terminal-Bench 2.1 test. This 8-billion parameter model, utilizing a novel thinking mode, has suc…
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Poolside's Laguna S 2.1 coding model outperforms larger rivals
Poolside has launched Laguna S 2.1, a compact open-weight coding model designed to improve its problem-solving capabilities. Unlike larger models that rely on sheer scale, Laguna S 2.1 is trained to iteratively check it…
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Poolside AI's Laguna S 2.1 achieves superior performance with a smaller footprint
Poolside AI has released its Laguna S 2.1 model, which reportedly outperforms larger competitors despite being 10 times smaller. The model was developed using a "Model Factory" that conducts 10,000 to 20,000 experiments…
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Poolside releases Laguna S 2.1, users share experiences
Poolside has released Laguna S 2.1, a new iteration of their language model. Users on the r/LocalLLaMA subreddit are discussing their experiences and opinions with the model, particularly its performance in agent loops.
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Poolside AI releases Laguna S 2.1, touts rapid model factory
Poolside AI has released its Laguna S 2.1 model, which reportedly outperforms models from Thinking Machines that are nearly ten times its size. The company's co-founder, Eiso Kant, discussed their "Model Factory" approa…
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Laguna S 2.1 model exhibits reasoning issues due to chat template configuration
A user on r/LocalLLaMA has identified an issue with the Laguna S 2.1 model where its reasoning phase is not functioning correctly. The problem appears to be related to the chat template, as disabling a specific setting,…
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Laguna S 2.1 model receives looping issue fix
Poolside has released an update for their Laguna S 2.1 model, addressing a looping issue that users have encountered. Both full precision and FP8 versions of the model have been updated, with other variants expected to …
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New equation predicts LLM inference speed on consumer hardware
A solo researcher has developed an equation to predict the inference speed of large language models on consumer hardware, based on parameters like model size, RAM, and bandwidth. This equation, derived from four observe…
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New benchmark shows strong link between Base64 generation and AI intelligence
A new benchmark called Encode Bench has revealed a strong correlation between a language model's ability to generate Base64 encoded responses and its intelligence scores. The benchmark, which tests models on tasks requi…
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Poolside's Laguna S 2.1 open model surpasses DeepSeek-V4-Pro-Max
Poolside has released Laguna S 2.1, an 118-billion parameter Mixture-of-Experts model that outperforms the 1.6-trillion parameter DeepSeek-V4-Pro-Max on the Terminal-Bench 2.1 benchmark. This American-made open model bo…
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Poolside releases Laguna S 2.1 with 256K context, achieving high token speeds
Poolside has released Laguna S 2.1, a new model that fits within 256K context at F16 quantization. Early performance tests show impressive speeds, with prefill reaching 400-600 tokens/sec and generation at 16-20 tokens/…
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Unsloth releases quantized versions of Laguna S 2.1 model
Unsloth has released quantized versions of the Laguna S 2.1 large language model. These quantized models are now available, offering users more accessible options for running the model locally. The Unsloth team is credi…
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Poolside launches Laguna S 2.1, an 118B open-weight coding model for desktops
Poolside, a company co-founded by former GitHub CTO Jason Warner, has launched Laguna S 2.1, an 118-billion-parameter open-weight coding model. This model is designed to run on a desktop and reportedly matches or surpas…
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Laguna S 2.1 coding AI available on Vercel AI Gateway
Laguna S 2.1, a coding-focused AI model, has been released and is now available on Vercel's AI Gateway. This model can run on a single DGX Spark and offers both free (256K context) and paid (1M context) tiers. It has de…
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Laguna S 2.1 released, challenging DeepSeek and V4 Pro on cost and performance
A new large language model, Laguna S 2.1, has been released, positioning itself as a more cost-effective and performant alternative to existing models like DeepSeek-V4 Flash and V4 Pro. This release comes from a Western…
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Poolside AI releases Laguna S 2.1, a compact coding model with 1M context
Poolside AI has released Laguna S 2.1, an 118B parameter Mixture-of-Experts model with 8B activated parameters and a 1M token context window. The model was developed in under nine weeks and demonstrates strong performan…
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Poolside releases Laguna S 2.1 with 1M context and agentic capabilities · 4 sources tracked
Poolside has released Laguna S 2.1, a 118B parameter Mixture-of-Experts model with 8B activated parameters per token. This model is designed for agentic coding and long-horizon tasks, featuring a 1M token context window…