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.
51.4
Quality Score
1128
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.
Sign in to join the discussion
0
Downloads
0
Likes
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: 103.497 tok/s | MMLU: 0.752% | HumanEval: 0.299%
View sourceLlama 4 Scout Benchmark Update
Quality: 13.5/100 | Price: $0.292/M tokens | Output: 102.968 tok/s | MMLU: 0.752% | HumanEval: 0.299%
View sourceLlama 4 Scout Benchmark Update
Quality: 13.5/100 | Price: $0.292/M tokens | Output: 105.554 tok/s | MMLU: 0.752% | HumanEval: 0.299%
View sourceLlama 4 Scout Benchmark Update
Quality: 13.5/100 | Price: $0.292/M tokens | Output: 107.501 tok/s | MMLU: 0.752% | HumanEval: 0.299%
View sourceLlama 4 Scout Benchmark Update
Quality: 13.5/100 | Price: $0.292/M tokens | Output: 116.693 tok/s | MMLU: 0.752% | HumanEval: 0.299%
View sourceLlama 4 Scout Benchmark Update
Quality: 13.5/100 | Price: $0.292/M tokens | Output: 116.3 tok/s | MMLU: 0.752% | HumanEval: 0.299%
View source1128
ELO Score
1118 - 1138
95% Confidence
+/-10 points
6.5K
Battles
Jun 6, 2026
Last Updated