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Meta

Llama 4 Maverick fastruns locally

meta/llama-4-maverick

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

Input / 1M

$0.35

USD per million tokens

Output / 1M

$1.00

USD per million tokens

Est. cost / token

$0.000000512

$0.51 per 1M, 3:1 mix

Context window

524K

max output 33K

Major features

VisionOpen weightsCachingJSON schemaTools

Task suitability (heuristic 1–5, not a benchmark)

  • coding3
  • reasoning2
  • math2
  • summarization4
  • extraction4
  • classification4
  • chat3
  • creative3
  • translation4
  • vision3
  • long context4
  • agentic3

Run it locally

Will it run on my machine? →
ollama run llama4:maverick
QuantizationQualityMemory needed (8K ctx)
Q2_Kpoor182 GB
Q3_K_Mfair211 GB
Q4_K_Mrecommendedgood263 GB
Q5_K_Mvery good305 GB
Q6_Kexcellent351 GB
Q8_0near-lossless452 GB
F16lossless846 GB

Estimates. Mixture-of-experts: memory covers all parameters; only the active ones are used per token, so it runs faster than its size suggests.

Price history

RecordedInputOutputCachedSource
2026-11-05 03:20$0.35$1.00$0.17openrouter

A row is added whenever a sync detects a price change. Vendor pricing source

Pricing (USD per 1M tokens)

Input
$0.35
Output
$1.00
Cached input
$0.17
Blended (3:1)
$0.51

Details

Company
Meta
Version
4
Family
Llama
Released
2025-04-05
Parameters
400B (17B active)
Max output
33K
Open weights
Yes
Inputs
image, text
Last synced
46 min ago