Meta
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
Running this yourself: can likely run on your own machine.
50.2
Quality Score
1129
Arena ELO
17B
Parameters
10M
Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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Apr 2025
Released
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
Llama 4 Scout Benchmark Update
Quality: 13.5/100 | Price: $0.292/M tokens | Output: 112.991 tok/s | MMLU: 0.752% | HumanEval: 0.299%
View sourceLlama 4 Scout Benchmark Update
Quality: 13.5/100 | Price: $0.292/M tokens | Output: 119.973 tok/s | MMLU: 0.752% | HumanEval: 0.299%
View sourceLlama 4 Scout Benchmark Update
Quality: 13.5/100 | Price: $0.292/M tokens | Output: 127.789 tok/s | MMLU: 0.752% | HumanEval: 0.299%
View sourceLlama 4 Scout Benchmark Update
Quality: 80/100 | Speed: 80/100 | Price: $0.3/M tokens | MMLU: 84.5%
View sourceLlama 4 Scout Benchmark Update
Quality: 80/100 | Speed: 80/100 | Price: $0.3/M tokens | MMLU: 84.5%
View sourceLlama 4 Scout Benchmark Update
Quality: 80/100 | Speed: 80/100 | Price: $0.3/M tokens | MMLU: 84.5%
View source1129
ELO Score
1119 - 1139
95% Confidence
+/-10 points
6.6K
Battles
May 20, 2026
Last Updated