85.2%
MMLU
Models / Meta
Llama 4 · Released 2026-04-05
Meta's long-context Llama 4 MoE. 10M token window, 17B active / 109B total params. Open weights for codebase-scale RAG and document mining.
Self-hosted route when you need entire repos or document libraries in one pass — not for lowest-latency chat.
Family profile
Best published score in each covered benchmark family.
7 tested benchmark families
Where Llama 4 Scout places on each public benchmark source that publishes a row. Rank counts every model with a latest row in the same test — not a universal quality score.
The three highest-scoring models with pages in each capability family. Where Llama 4 Scout shows up, it's highlighted.
Benchmark rows added to the public ledger for Llama 4 Scout in the last 120 days. Older rows live in the full table below.
| Benchmark | Family | Score | Source | Days ago |
|---|---|---|---|---|
| AA-LCR | Long context | 30.33% | Artificial Analysis | 5 |
| AA output speed | Performance | 133 t/s | Artificial Analysis | 5 |
| AA time to first token | Performance | 0.54s | Artificial Analysis | 5 |
| AIME | Math | 14% | Artificial Analysis | 5 |
| Artificial Analysis Intelligence Index | Reasoning | 10.3% | Artificial Analysis | 5 |
| GPQA Diamond | Reasoning | 58.7% | Artificial Analysis | 5 |
| Humanity's Last Exam | Reasoning | 3.8% | Artificial Analysis | 5 |
| IFBench | Reasoning | 39.52% | Artificial Analysis | 5 |
| LiveCodeBench | Coding | 29.9% | Artificial Analysis | 5 |
| MATH | Math | 84.4% | Artificial Analysis | 5 |
| MMLU-Pro | Knowledge | 75.2% | Artificial Analysis | 5 |
| SciCode | Coding | 17% | Artificial Analysis | 5 |
| τ³-Bench Banking | Agentic | 3.3% | Artificial Analysis | 5 |
| Terminal-Bench | Agentic | 58.6% | Terminal-Bench 2.0 leaderboard | 89 |
A high composite that hides a weak family is a trap. These bars surface the families where this model hasn't been publicly tested, and where it leads.
Hover any dot for name, score, and input price. Keyboard: tab through the top twelve, or use the ranking below.
Every catalog benchmark for Llama 4 Scout. Scores link to the original source; gaps mean no public row exists yet.
18 of 37 catalog benchmarks have a sourced row for Llama 4 Scout.
10.3%
AA Intelligence Index v4.1
58.7%
GPQA Diamond (AA run)
3.8%
HLE (AA run)
39.52%
IFBench (AA run)
58.9%
LiveBench
29.9%
LiveCodeBench (AA run)
17%
SciCode (AA run)
58.6%
Terminal-Bench 2.0 (audited harness)
3.3%
τ³-Bench Banking (AA run)
30.33%
AA-LCR (AA run)
57.2%
LongBench v2
74.1%
BFCL
133 t/s
Median output tokens/s (1k prompt, default provider)
0.54s
Median time to first token (1k prompt, default provider)