AI model comparison
Llama 4 Maverick vs Llama 4 Scout
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Meta
Llama 4 Maverick
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward
- Input / 1M
- $0.19
- Output / 1M
- $0.65
- Context
- 1.05M
Meta
Llama 4 Scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B.
- Input / 1M
- $0.10
- Output / 1M
- $0.30
- Context
- 1.31M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Llama 4 Scout
2.0x cheaper for a typical chat
Higher intelligence score
Llama 4 Maverick
10 vs 8.1 on Artificial Analysis
Larger context window
Llama 4 Scout
1.31M vs 1.05M tokens
Newer release
Llama 4 Maverick
Released April 5, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Llama 4 Maverick vs Llama 4 Scout API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.19 | $0.10 |
| Output tokensPer 1M tokens | $0.65 | $0.30 |
| Cached input (read)Per 1M tokens | $0.05 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1.05M tokens | 1.31M tokens |
| Max output | 16K tokens | 16K tokens |
| Input types | Image, Text | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | April 5, 2025 | April 5, 2025 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Not supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- Llama 4 Maverick vs Gemini 2.5 Flash Lite
- Llama 4 Maverick vs GPT-4o-mini
- Llama 4 Maverick vs Qwen3 235B A22B Instruct 2507
- Llama 4 Maverick vs Llama 3.3 70B Instruct
- Llama 4 Maverick vs Qwen3 Coder Next
- Llama 4 Maverick vs Qwen3 Next 80B A3B Instruct
- Llama 4 Maverick vs DeepSeek V3 0324
- Llama 4 Maverick vs Mistral Small 4
- Llama 4 Maverick vs GLM 4.5 Air
- Llama 4 Maverick vs Trinity Large Thinking
- Llama 4 Maverick vs Llama 3.1 70B Instruct
- Llama 4 Scout vs Gemini 2.5 Flash Lite
- Llama 4 Scout vs Llama 3.1 8B Instruct
- Llama 4 Scout vs Qwen3 30B A3B Instruct 2507
- Llama 4 Scout vs Llama 3.3 70B Instruct
- Llama 4 Scout vs GPT-4.1 Nano
- Llama 4 Scout vs Qwen3 32B
- Llama 4 Scout vs Nemotron 3 Nano 30B A3B
- Llama 4 Scout vs Qwen3 14B
- Llama 4 Scout vs Qwen2.5 72B Instruct
- Llama 4 Scout vs Nova Lite 1.0
- Llama 4 Scout vs Llama 3.1 70B Instruct
- Llama 4 Scout vs Llama 3.2 3B Instruct
- Llama 4 Scout vs Llama 3.2 1B Instruct
Our take
Llama 4 Scout is 2.0x cheaper for a typical chat. Llama 4 Maverick scores higher on the Artificial Analysis Intelligence Index (10 vs 8.1). Llama 4 Scout has the larger context window (1.31M vs 1.05M tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Llama 4 Maverick or Llama 4 Scout cheaper?
Llama 4 Scout is cheaper for a typical chat (2K input tokens and 500 output tokens). Llama 4 Scout costs $0.10 per 1M input tokens and $0.30 per 1M output tokens, while Llama 4 Maverick costs $0.19 per 1M input tokens and $0.65 per 1M output tokens.
Which has a bigger context window, Llama 4 Maverick or Llama 4 Scout?
Llama 4 Scout supports up to 1.31M tokens of context, compared with 1.05M for Llama 4 Maverick.
Is Llama 4 Maverick smarter than Llama 4 Scout?
On the Artificial Analysis Intelligence Index, Llama 4 Maverick scores 10 and Llama 4 Scout scores 8.1, putting Llama 4 Maverick ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Llama 4 Maverick and Llama 4 Scout at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Llama 4 Maverick and Llama 4 Scout answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Llama 4 Maverick and Llama 4 Scout at the same time. Compare the answers side by side and keep the best one.