Meta
Llama 3.1 405B
Meta's largest open-weights model, competitive with frontier closed models.
- Context
- 128K
- Max output
- 4.1K
- Input / 1M tokens
- $3.50
- Output / 1M tokens
- $3.50
- Output speed
- 30 t/s
Accepts
- Text input
Produces
- Text output
AI model comparison
Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.
Llama 3.1 405B from Meta lists 128K context, 4.1K maximum output, $3.50 input per 1M tokens, $3.50 output per 1M tokens. Llama 4 Scout 17B Instruct from Meta lists 10M context, 16.38K maximum output, $0.18 input per 1M tokens, $0.59 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.
Meta
Meta's largest open-weights model, competitive with frontier closed models.
Accepts
Produces
Meta
Llama 4 Scout 17B Instruct from Meta: Open Llama with long-context vision for efficient multimodal agents.
Accepts
Produces
At a glance
Compare the available figures below, then try both models on the work you need to do.
Llama 4 Scout 17B Instruct
Context capacity
Higher listed limit
Llama 3.1 405B:128K
Llama 4 Scout 17B Instruct:10M
Llama 4 Scout 17B Instruct
Maximum output
Higher listed limit
Llama 3.1 405B:4.1K
Llama 4 Scout 17B Instruct:16.38K
Llama 4 Scout 17B Instruct
Specifications
| Specification | Llama 3.1 405B | Llama 4 Scout 17B Instruct |
|---|---|---|
| Provider | Meta | Meta |
| Listed pricing route | Meta | Meta |
| Model family | Llama 3.1 | llama |
| Accepted inputs | text | text, image |
| Produced outputs | text | text |
| Context window | 128K | 10MHigher |
| Max output | 4.1K | 16.38KHigher |
| Input price / 1M | $3.50 | $0.18 |
| Output price / 1M | $3.50 | $0.59 |
| Output speed | 30 t/s | — |
| Time to first token | 0.70s | — |
| Reasoning mode | Not documented | Not documented |
| Tool calling | Documented | Documented |
| Image input | Not documented | Documented |
| Audio input | Not documented | Not documented |
| Structured output | Documented | Not documented |
| License | Llama 3.1 Community | Open weights |
Workload guidance
Consider Llama 4 Scout 17B Instruct if you need larger context or larger maximum output. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.
Explore each model’s features, API requirements and licence terms in the sources below.
Llama 3.1 405B
Meta
Profile updated Oct 7, 2026
Llama 4 Scout 17B Instruct
Meta
Profile updated Oct 13, 2026
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