Skip to content
English

Switch theme

Meta

Llama 4 Maverick benchmark results

7 results on 7 benchmarks from 3 sources.

Open weights Released: Apr 5, 2025 Updated Oct 22, 2026 API prices & specs →

Also listed as: llama-4-maverick-17b-128e-instruct · Llama-4-Maverick-17B-128E-Instruct-FP8 · Llama 4 Maverick (FP8) · Llama-4-Maverick-17B-128E-Instruct · Llama-4-Maverick-17B-128E-Instruct-FP8 (FC)

All benchmark results

Benchmarks Score Rank Setting Source type Date
LMArena Text 1327 247 Overall, style control on; 39453 votes; 95% CI 1323–1331“llama-4-maverick-17b-128e-instruct” Official leaderboard Oct 8, 2026
LMArena Vision 1145 113 Overall, style control on; 6923 votes; 95% CI 1136–1154“llama-4-maverick-17b-128e-instruct” Official leaderboard Oct 2, 2026
GPQA Diamond 67.0% 168 Epoch AI run, accuracy; effort: FP8 Independent run Apr 8, 2025
AIME (OTIS Mock AIME 2024–2025) 20.6% 207 Epoch AI run, OTIS Mock AIME 2024–2025; effort: FP8 Independent run Apr 8, 2025
MATH Level 5 73.0% 40 Epoch AI run, accuracy; effort: FP8 Independent run Apr 8, 2025
Humanity's Last Exam 5.7% 43 Compiled by Epoch AI Third-party compilation via Epoch AI Apr 5, 2025
BFCL v4 (function calling) 37.3% 50 Overall accuracy; native function calling (FC)“Llama-4-Maverick-17B-128E-Instruct-FP8 (FC)” Official leaderboard Oct 17, 2026

Related on this site

← AI Model Benchmarks

FAQ

Where do these Llama 4 Maverick scores come from?

From Epoch AI Benchmarking Hub, Berkeley Function Calling Leaderboard (BFCL), and LMArena leaderboard dataset. Each row links to the original leaderboard, dataset or report, and vendor-reported numbers are labelled.

Data updated: Benchmarks(UTC+8)