Llama 4 Maverick Pricing
BalancedMeta · 524K tokens context
Llama 4 Maverick from Meta costs $0.188 per 1 million input tokens and $0.652 per 1 million output tokens as of October 2026 (live OpenRouter data). The model supports a 524,288-token context window (approximately 393,216 words) with a 16K-token maximum output. A typical 1,000-token request costs $0.0002 in input charges; a 10,000-token request costs $0.0019.
| Input price | $0.188 / 1M tokens |
|---|---|
| Output price | $0.652 / 1M tokens |
| Output / input ratio | 3.5× |
| Context window | 524,288 tokens (~393,216 words) |
| Maximum output | 16,384 tokens |
| Cost per 1K tokens (input) | $0.0002 |
| Tier | Balanced |
| Last verified |
Llama 4 Maverick is Meta's flagship open-weight model in the Llama 4 generation — multimodal, 1M context, and competitive with GPT-4o at a fraction of the API cost.
Input Price
$0.188
per 1 million tokens
Output Price
$0.652
per 1 million tokens
Context Window
524K tokens
max 16K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.00025 | $0.000261 |
| 10-page document (2,500 words) | 3,333 | $0.000625 | $0.000652 |
| 1,000 lines of code | 5,000 | $0.000937 | $0.000979 |
| 100K token document | 100,000 | $0.0188 | $0.0196 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Frontier-quality open-weight model
- ✓Native multimodal
- ✓1M context at $0.40/1M
- ✓Self-hostable
Limitations
- –Hosting large MoE at scale requires careful infrastructure planning
Best Use Cases
Calculate Llama 4 Maverick Costs
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Open Calculator →Llama 4 Maverick — FAQ
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