# Meta releases Llama 4 models, claiming superior performance

**URL:** <https://community.deeplearning.ai/t/meta-releases-llama-4-models-claiming-superior-performance/797243>\
**Category:** AI Discussions\
**Tags:** data-points, ai-discussions\
**Created:** [April 7, 2025, 8:21pm UTC](https://community.deeplearning.ai/t/meta-releases-llama-4-models-claiming-superior-performance/797243 "2025-04-07T20:21:05Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![Community-Team](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/community-team/32/136466_2.png) [@Community-Team](https://community.deeplearning.ai/u/Community-Team)\
**Post date:** [April 7, 2025, 8:21pm UTC](https://community.deeplearning.ai/t/meta-releases-llama-4-models-claiming-superior-performance/797243/1 "2025-04-07T20:21:05Z")

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Meta launched two new Llama 4 multimodal models, boasting performance improvements over previous generations and 10 million token context windows. Llama 4 Maverick, with 400 billion parameters, outperforms GPT-4o and matches DeepSeek v3.1 on several benchmarks, including MMMU and MathVista, with strong performance on MMLU-Pro’s reasoning tasks, GPQA Diamond’s expert-level knowledge, and LiveCodeBench coding tests. Meta’s team distilled both Maverick and Scout (a 109 billion parameter variant) from Llama 4 Behemoth, a not-yet-available 2 trillion parameter model that reportedly outperforms GPT-4.5 and other top models on STEM tasks. Developers can download Scout’s and Maverick’s weights from [llama.com](http://llama.com) and Hugging Face, while Maverick costs an estimated $0.19-$0.495 per million tokens for inference. ([Meta](https://ai.meta.com/blog/llama-4-multimodal-intelligence/?utm_campaign=Data%20Points&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-8eXdyxIwoK1bc8ZjBy417eb1GwEOslBmfeA8bCNa9SezmUBWbT7pDUjejhZ4RAjOeSYtpx))

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**Author:** ![Community-Team](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/community-team/32/136466_2.png) [@Community-Team](https://community.deeplearning.ai/u/Community-Team)\
**Post date:** [April 7, 2025, 8:21pm UTC](https://community.deeplearning.ai/t/meta-releases-llama-4-models-claiming-superior-performance/797243/2 "2025-04-07T20:21:15Z")

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**Author:** ![Community-Team](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/community-team/32/136466_2.png) [@Community-Team](https://community.deeplearning.ai/u/Community-Team)\
**Post date:** [April 7, 2025, 8:21pm UTC](https://community.deeplearning.ai/t/meta-releases-llama-4-models-claiming-superior-performance/797243/3 "2025-04-07T20:21:21Z")

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**Author:** ![Community-Team](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/community-team/32/136466_2.png) [@Community-Team](https://community.deeplearning.ai/u/Community-Team)\
**Post date:** [April 8, 2025, 5:35pm UTC](https://community.deeplearning.ai/t/meta-releases-llama-4-models-claiming-superior-performance/797243/4 "2025-04-08T17:35:42Z")

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