Meta
Llama 4 Maverick
Llama 4 Maverick is a Meta model with 1M context, Not verified in / Not verified out per million tokens, last verified September 4, 2026. Open weights: yes. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.
Llama 4 Maverick is Meta's open-weight 400B/17B MoE with a 1M-token context and native multimodal support.
Catalog record checked September 4, 2026Individual provider fields may change
| Specification | Llama 4 Maverick |
|---|---|
| Provider | Meta |
| Tier | Balanced |
| Context window | 1M |
| Max output | 131K |
| Input / 1M tokens | Not verifiedUnverified |
| Output / 1M tokens | Not verifiedUnverified |
| Weights | Open |
| Parameters | 400B total / 17B active (MoE) |
| Reasoning levels | Not verifiedUnverified |
| Modalities | text, image |
| License | Llama 4 Community License |
| API model id | llama-4-maverick |
| Released | April 5, 2025 |
Pricing tiers: Open-weight (Llama 4 Community License) — self-host free; hosted inference billed by the serving provider. No first-party Meta API: the Llama API Public Preview was retired 2026-07-06, and Meta's remaining endpoint serves Muse models only.
Verified evidence
Published benchmark results
Each result keeps its source and measurement date visible. A missing benchmark is not treated as a zero.
| Benchmark | Score | Measured | Source |
|---|---|---|---|
| Artificial Analysis Intelligence Index | 43 | 2026-08-14 | Artificial Analysis · View source |
Best for
- Open-weight deployments
- Multimodal understanding
- Self-hosting
Watch out
Source receipts
Catalog figures for this model were checked against the following sources.
- Meta — Llama 4 (accessed 2026-08-29)
- Promptfoo — Llama API provider docs (Public Preview retired 2026-07-06) (accessed 2026-09-04)
- Groq — deprecations (llama-4-maverick-17b-128e-instruct EOL 2026-03-09) (accessed 2026-09-04)
Common questions
Llama 4 Maverick
Answered from the verified figures on this page rather than general guidance.
What is Llama 4 Maverick's context window?
Llama 4 Maverick accepts about 1M tokens of context. That only matters if you routinely send very long documents, large codebases, or multi-turn histories that approach that limit.
What is Llama 4 Maverick best for?
Llama 4 Maverick is a balanced tier from Meta. It suits open-weight deployments, multimodal understanding, self-hosting. Meta has ended Llama development in favour of the proprietary Muse family — Llama stays open weights in maintenance mode. Hosts are dropping it too (Groq retired its Maverick endpoint 2026-03-09); check your host's roadmap before new deployments.
Can I self-host Llama 4 Maverick?
Llama 4 Maverick publishes open weights, but self-hosting depends on the licence, hardware footprint, quantisation quality, and serving stack. A hosted API is often cheaper until you have measured throughput and concurrency on your own hardware.