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Llama 4 is here and it's making serious waves!
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Llama 4 is here and it's making serious waves!
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After diving into the latest benchmark results, it’s clear that Meta’s new Llama 4 lineup (Maverick, Scout, and Behemoth) is no joke.
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After diving into the latest benchmark results, it’s clear that Meta’s new Llama 4 lineup (Maverick, Scout, and Behemoth) is no joke.
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Here are a few standout highlights🔍:
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Here are a few standout highlights🔍:
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Llama 4 Maverick hits the sweet spot between cost and performance
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Llama 4 Maverick hits the sweet spot between cost and performance
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- Outperforms GPT-4o in image tasks like ChartQA (90.0 vs 85.7) and DocVQA (94.4 vs 92.8)
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- Outperforms GPT-4o in image tasks like ChartQA (90.0 vs 85.7) and DocVQA (94.4 vs 92.8)
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- Beats others in MathVista and MMLU Pro too and at a fraction of the cost ($0.19–$0.49 vs $4.38 🤯)
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- Beats others in MathVista and MMLU Pro too and at a fraction of the cost ($0.19–$0.49 vs $4.38 🤯)
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Llama 4 Scout is lean, cost-efficient, and surprisingly capable
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Llama 4 Scout is lean, cost-efficient, and surprisingly capable
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- Strong performance across image and language tasks (e.g. ChartQA: 88.8, DocVQA: 94.4)
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- Strong performance across image and language tasks (e.g. ChartQA: 88.8, DocVQA: 94.4)
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- More affordable than most competitors and still beats out larger models like Gemini 2.0 Flash-Lite
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- More affordable than most competitors and still beats out larger models like Gemini 2.0 Flash-Lite
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Llama 4 Behemoth is the heavy hitter.
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Llama 4 Behemoth is the heavy hitter.
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- Tops the charts in LiveCodeBench (49.4), MATH-500 (95.0), and MMLU Pro (82.2)
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- Tops the charts in LiveCodeBench (49.4), MATH-500 (95.0), and MMLU Pro (82.2)
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- Even edges out Claude 3 Sonnet and Gemini 2 Pro in multiple areas
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- Even edges out Claude 3 Sonnet and Gemini 2 Pro in multiple areas
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Meta didn’t just show up, they delivered across multimodal, coding, reasoning, and multilingual benchmarks.
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Meta didn’t just show up, they delivered across multimodal, coding, reasoning, and multilingual benchmarks.
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And honestly? Seeing this level of performance, especially at lower inference costs, is a big deal for anyone building on LLMs.
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And honestly? Seeing this level of performance, especially at lower inference costs, is a big deal for anyone building on LLMs.
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Curious to see how these models do in real-world apps next.
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Curious to see how these models do in real-world apps next.
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#AI #Meta #Llama4 #LLMs #Benchmarking #MachineLearning #OpenSourceAI #GenerativeAI
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#AI #Meta #Llama4 #LLMs #Benchmarking #MachineLearning #OpenSourceAI #GenerativeAI

Llama 4 is here and it's making serious waves!

After diving into the latest benchmark results, it’s clear that Meta’s new Llama 4 lineup (Maverick, Scout, and Behemoth) is no joke.

Here are a few standout highlights🔍:

Llama 4 Maverick hits the sweet spot between cost and performance
- Outperforms GPT-4o in image tasks like ChartQA (90.0 vs 85.7) and DocVQA (94.4 vs 92.8)
- Beats others in MathVista and MMLU Pro too and at a fraction of the cost ($0.19–$0.49 vs $4.38 🤯)

Llama 4 Scout is lean, cost-efficient, and surprisingly capable
- Strong performance across image and language tasks (e.g. ChartQA: 88.8, DocVQA: 94.4)
- More affordable than most competitors and still beats out larger models like Gemini 2.0 Flash-Lite

Llama 4 Behemoth is the heavy hitter.
- Tops the charts in LiveCodeBench (49.4), MATH-500 (95.0), and MMLU Pro (82.2)
- Even edges out Claude 3 Sonnet and Gemini 2 Pro in multiple areas

Meta didn’t just show up, they delivered across multimodal, coding, reasoning, and multilingual benchmarks.

And honestly? Seeing this level of performance, especially at lower inference costs, is a big deal for anyone building on LLMs.

Curious to see how these models do in real-world apps next.

#AI #Meta #Llama4 #LLMs #Benchmarking #MachineLearning #OpenSourceAI #GenerativeAI
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John6666
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Andy Melick
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