Llama 4 Maverick
by Meta
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
Models
Llama 4 Maverick
Added 10 July 2026
Overview
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...
Best for
Best for
Teams that want open-weight flexibility with hosted convenience
Use cases
- self-host experiments
- cost-controlled apps
- fine-tune pipelines
How to use / API access
Call via OpenRouter with model id `meta-llama/llama-4-maverick`.
- openrouter ·
meta-llama/llama-4-maverickDocs
OpenRouter id: meta-llama/llama-4-maverick
Benchmarks
- Intelligence Index (artificial-analysis): 9.3 index
- Coding Index (artificial-analysis): 16.3 index
- Agentic Index (artificial-analysis): 0.6 index
- Design Arena 3d (other): 901 elo · #120
- Design Arena codecategories (other): 881 elo · #133
- Design Arena dataviz (other): 882 elo · #128
- Design Arena gamedev (other): 839 elo · #135
Enterprise DNA angle
EDNA helps teams decide when open weights belong in Omni vs when a closed frontier model is cheaper in total cost of quality.
Notes
Llama 4 Maverick is listed in the EDNA Models directory from the OpenRouter catalogue.
Pros
- Open-weights family economics
- Strong community and self-host path
Cons
- Hosted quality depends on the OpenRouter endpoint
- May trail closed frontier models on hardest tasks
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