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-3.3-70B-Instruct from Meta lists 128K context, 4.1K maximum output, $1.254 input per 1M tokens, $1.254 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-3.3-70B-Instruct from Meta: Popular open Llama workhorse for multilingual chat, coding, and self-hosting.
Accepts
Produces
At a glance
Compare the available figures below, then try both models on the work you need to do.
Context capacity
Higher listed limit
Llama 3.1 405B:128K
Llama-3.3-70B-Instruct:128K
Same value
Maximum output
Higher listed limit
Llama 3.1 405B:4.1K
Llama-3.3-70B-Instruct:4.1K
Same value
Specifications
| Specification | Llama 3.1 405B | Llama-3.3-70B-Instruct |
|---|---|---|
| Provider | Meta | Meta |
| Listed pricing route | Meta | Meta |
| Model family | Llama 3.1 | llama |
| Accepted inputs | text | text |
| Produced outputs | text | text |
| Context window | 128K | 128K |
| Max output | 4.1K | 4.1K |
| Input price / 1M | $3.50 | $1.254 |
| Output price / 1M | $3.50 | $1.254 |
| 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 | Not documented |
| Audio input | Not documented | Not documented |
| Structured output | Documented | Not documented |
| License | Llama 3.1 Community | Open weights |
Workload guidance
The recorded figures alone do not establish a clear choice. 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-3.3-70B-Instruct
Meta
Profile updated Oct 13, 2026
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