Llama 4 Maverick

Meta

5.4/10

Provisional 0 practitioner reviews

Data source: This is a provisional model-fit score based on public benchmark signals, provider pricing/context data, and manual curation. It is not yet backed by approved practitioner reviews.

Context window

1,000,000 tokens

Input tokens per dollar

2,120,000

Output tokens per dollar

530,000

Dimension Breakdown

Tool Calling 5/10

Reliability of function/tool calling — correct schema adherence and parameter extraction

Cost Efficiency 9/10

Price per token relative to output quality for agent tasks

Latency 8/10

Response time — time to first token and total generation time under load

API Reliability 6/10

Uptime, rate limit headroom, and error rates in production

Context Quality 5/10

Long-context coherence and instruction following over turns

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Top Use Cases

General RAG

Summary

Meta's open-weights Mixture-of-Experts model with 18/60 on Artificial Analysis Intelligence Index. Very cost-effective at $0.47/1M tokens with decent speed (107 tokens/s).

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Last updated: May 8, 2026