Meta
LLaMA 4 Behemoth
Self-host onlyHuge memory
LLaMA 4 Behemoth is Meta's huge-memory model. This page shows current pricing, an interactive cost calculator, and a side-by-side with similar models.
Input
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Output
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Cached
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Batch
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Interactive
Calculate your LLaMA 4 Behemoth bill.
Adjust the workload below and watch the monthly cost update in real time.
What would LLaMA 4 Behemoth cost you?
Adjust the workload to see your monthly bill.
1,00010,00050,000250,0001M10M
Technical specifications
LLaMA 4 Behemoth at a glance.
Memory
1,000,000
tokens
Max reply
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tokens
Memory tier
Huge
multiple books or whole repositories
Tokenizer
sentencepiece
Released
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Training cutoff
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Availability
Self-host only
Status
preview
What it can do
Capabilities & limits.
- Understands images
- Deep step-by-step thinking
- Uses tools / calls functions
- Strict JSON output
- Streams replies
- Fine-tunable on your data
When to pick LLaMA 4 Behemoth
- Long documents, full codebases, or extensive chat histories.
- High-volume workloads where unit cost matters.
When to look elsewhere
- You need a managed endpoint — this one is self-host only.
- Your workload involves images — pick a vision-capable model instead.
- You need tool-use / function calling for agent workflows.
Alternatives
Similar models to compare.
- LLaMA 4 MaverickMeta$1.00/1M inputImagesView full page
- Gemini 2.5 ProGoogle$1.25/1M inputImagesTool useView full page
- Gemini 3 ProGoogle$2.00/1M inputImagesTool useView full page
- Gemini 2 ProGoogle$3.50/1M inputImagesTool useView full page
- Claude Opus 4.7Anthropic$5.00/1M inputImagesTool useView full page
FAQ
LLaMA 4 Behemoth — the questions we see most.
Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.
Get instant answers from our AI agent
LLaMA 4 Behemoth is an open-weight model with no managed endpoint — you run it on your own GPUs, so the cost depends on your hardware choice rather than a per-token price. Hosted providers like Together AI, Fireworks, or Replicate offer it from around $0.20–$2.00 per 1M tokens depending on size.
LLaMA 4 Behemoth has a 1,000,000-token context window (huge memory — multiple books or whole repositories). That means you can fit about 187,500 words of input and history in a single call.
Models in a similar class include LLaMA 4 Maverick, Gemini 2.5 Pro, Gemini 3 Pro. The "Similar models" section below this FAQ links into each.
Still unsure?
Compare LLaMA 4 Behemoth against 100+ other models.
Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.