Context Window

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Databricks Meta Llama 3 1 8b vs Nemotron Nano V2 12b Vl

This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.

Meta

Model

Databricks Meta Llama 3 1 8b

Context window

200K

200,000 tokens · ~150K words

Model page
Nvidia

Model

Nemotron Nano V2 12b Vl

Context window

4K

4,096 tokens · ~3K words

Model page

Context window · side by side

Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.

Databricks Meta Llama 3 1 8b200K
Nemotron Nano V2 12b Vl4K

Databricks Meta Llama 3 1 8b has about 48.8× the context window of the other in this pair.

Token calculator →Memory savings →

Databricks Meta Llama 3 1 8b has 4782% more context capacity (200K vs 4K tokens). Nemotron Nano V2 12b Vl is 33% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Databricks Meta Llama 3 1 8b. Its 200K context fits entire documents without chunking (vs 4K).

  • RAG / high-volume retrieval

    Use Nemotron Nano V2 12b Vl. Input tokens are 33% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Databricks Meta Llama 3 1 8b. Its 128K max output lets you generate complete artifacts in one request.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecDatabricks Meta Llama 3 1 8bNemotron Nano V2 12b Vl
Context window200,000 tokens (200K)4,096 tokens (4K)
Max output tokens128,000 tokens (128K)4,096 tokens (4K)
Speed tierFastFast
VisionNoNo
Function callingNoNo
Extended thinkingNoNo
Prompt cachingNoNo
Batch APINoNo
Release dateN/AN/A

Pricing matrix

Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.

ProviderDatabricks Meta Llama 3 1 8b inDatabricks Meta Llama 3 1 8b outNemotron Nano V2 12b Vl inNemotron Nano V2 12b Vl out
Databricks$0.150/M$0.450/M——
Fireworks——$0.100/M$0.100/M

Frequently asked questions

Databricks Meta Llama 3 1 8b has a larger context window: 200K tokens vs 4K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

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Without Mem0~128K tokens sent
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