AI model comparison

Llama 3.1 405B vs Llama 4 Scout 17B Instruct

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.

Side-by-sideCapabilities and practical differences

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
VS

Meta

Llama 4 Scout 17B Instruct

Llama 4 Scout 17B Instruct from Meta: Open Llama with long-context vision for efficient multimodal agents.

Context
10M
Max output
16.38K
Input / 1M tokens
$0.18
Output / 1M tokens
$0.59

Accepts

  • Text input
  • Image input

Produces

  • Text output

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

Llama 4 Scout 17B Instruct

  • Context capacity: 10M
  • Maximum output: 16.38K

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

Pricing, limits and capabilities

Specifications for Llama 3.1 405B and Llama 4 Scout 17B Instruct. Higher limits and lower prices describe these figures only.
SpecificationLlama 3.1 405BLlama 4 Scout 17B Instruct
ProviderMetaMeta
Listed pricing routeMetaMeta
Model familyLlama 3.1llama
Accepted inputstexttext, image
Produced outputstexttext
Context window128K10MHigher
Max output4.1K16.38KHigher
Input price / 1M$3.50$0.18
Output price / 1M$3.50$0.59
Output speed30 t/s—
Time to first token0.70s—
Reasoning modeNot documentedNot documented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedNot documented
Structured outputDocumentedNot documented
LicenseLlama 3.1 CommunityOpen weights

Workload guidance

Which model should you choose?

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.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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