69.4%
GPQA Diamond
Models / Meta
Llama 4 · Released 2026-04-05
Meta's reasoning-focused Llama 4 MoE. 1M context, 17B active / 400B total params, 128 experts. Open weights for multimodal assistants and coding.
Default Llama 4 pick for quality-first self-hosting when Scout's 10M context isn't required.
Family profile
Best published score in each covered benchmark family.
4 tested benchmark families
Where Llama 4 Maverick 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.
| Benchmark | Family | Rank | Score | Source | Date |
|---|---|---|---|---|---|
| SciCode | Coding | #92/ 97 | 32 | Artificial Analysis | 2026-09-28 |
| AA output speed | Performance | #121/ 195 | Artificial Analysis | 2026-10-12 | |
| AA-LCR | Long context | #159/ 184 | 50 | Artificial Analysis | 2026-09-28 |
| Terminal-Bench | Agentic | #159/ 167 | 8 | Artificial Analysis | 2026-09-28 |
| GPQA Diamond | Reasoning | #164/ 184 | 69 | Artificial Analysis GPQA Diamond evaluation | 2026-06-09 |
| Humanity's Last Exam | Reasoning | #178/ 186 | 5 | Artificial Analysis | 2026-09-28 |
The three highest-scoring models with pages in each capability family. Where Llama 4 Maverick shows up, it's highlighted.
Benchmark rows added to the public ledger for Llama 4 Maverick in the last 120 days. Older rows live in the full table below.
| Benchmark | Family | Score | Source | Days ago |
|---|---|---|---|---|
| AA output speed | Performance | 50 t/s | Artificial Analysis | 10 |
| AA-LCR | Long context | 50% | Artificial Analysis | 24 |
| Humanity's Last Exam | Reasoning | 4.9% | Artificial Analysis | 24 |
| SciCode | Coding | 31.7% | Artificial Analysis | 24 |
| Terminal-Bench | Agentic | 7.87% | Artificial Analysis | 24 |
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 Maverick. Scores link to the original source; gaps mean no public row exists yet.
6 of 13 catalog benchmarks have a sourced row for Llama 4 Maverick.
69.4%
GPQA Diamond
4.9%
HLE (AA run)
31.7%
SciCode (AA run)
7.87%
Terminal-Bench v2.1 (AA run)
50%
AA-LCR (AA run)
50 t/s
Median output tokens/s (1k prompt, default provider)
Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.
Llama 4 Maverick is a Meta model: Meta's reasoning-focused Llama 4 MoE. 1M context, 17B active / 400B total params, 128 experts. Open weights for multimodal assistants and coding.
Default Llama 4 pick for quality-first self-hosting when Scout's 10M context isn't required.
Llama 4 Maverick lists $0.17 input and $0.60 output per 1M tokens. Pricing last checked 2026-06-09.
Llama 4 Maverick publishes a 1M token context window.
Llama 4 Maverick carries Flagship status on the model atlas.
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