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Meta Models
Explore all 2 models from Meta with detailed pricing, pros & cons, and developer recommendations.
2
Models
$0.100
Lowest Input
10M
Max Context
2
Quality Tiers
Quick Recommendations
Best Value: Llama 4 Scout ($0.100/1M)
Best Quality: Llama 4 Maverick
Llama 4 Maverick
FlagshipOpen-source, multimodal
When to use: For teams wanting open-source control or self-hosting with multimodal needs.
Upgrade Highlights
- ◆Open-source — self-host for free, full model weight control
- ◆1M context window — first open-source model with this capacity
- ◆Multimodal (text + vision) + fine-tunable — unique combination
- ◆17B active params (109B total) — MoE architecture for efficiency
- ◆4K max output is limiting — use for input-heavy, short-output tasks
Input Price
$0.200
per 1M tokens
Output Price
$0.600
per 1M tokens
Cached Input
—
per 1M tokens
Batch Input
—
per 1M tokens
Context Window: 1M
Max Output: 4,096 tokens
Knowledge Cutoff: 2024-08
VisionFunction CallingFine-tuningJSON ModeFree Tier
Pros
- Open-source — can self-host for free
- 1M context window
- Multimodal + fine-tunable
Cons
- Only 4K max output
- No JSON mode
- Hosted pricing via third-party (Together AI)
Performance
Output Speed~80 tok/s
Rate Limit—
Multimodal
Image InputImage OutputAudio InputAudio Output
Benchmarks
MMLU
84.5%
HumanEval
83.0%
SWE-bench Verified
44.2%
Llama 4 Scout
Mid-tierOpen-source, long context
When to use: Unmatched for processing very long documents. Best for RAG with massive context windows.
Upgrade Highlights
- ◆10M token context — 10x larger than any other model available
- ◆Open-source + fine-tunable — self-host for unlimited usage
- ◆$0.10/M input — cheapest per-token model in the market
- ◆17B active params (109B total) — same efficient MoE as Maverick
- ◆4K max output — designed for retrieval/analysis, not long generation
Input Price
$0.100
per 1M tokens
Output Price
$0.300
per 1M tokens
Cached Input
—
per 1M tokens
Batch Input
—
per 1M tokens
Context Window: 10M
Max Output: 4,096 tokens
Knowledge Cutoff: 2024-08
VisionFunction CallingFine-tuningJSON ModeFree Tier
Pros
- 10M token context — largest available
- Cheapest per-token model
- Open-source + fine-tunable
Cons
- Only 4K max output
- No JSON mode
- Quality below proprietary flagships
Performance
Output Speed~90 tok/s
Rate Limit—
Multimodal
Image InputImage OutputAudio InputAudio Output
Benchmarks
MMLU
81.0%
HumanEval
78.5%
Side-by-Side Comparison
| Model | Tier | Input | Output | Context |
|---|---|---|---|---|
| Llama 4 Maverick | Flagship | $0.200 | $0.600 | 1M |
| Llama 4 Scout | Mid-tier | $0.100 | $0.300 | 10M |