Context Window

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Databricks Gemini 3 Pro Image vs Fw Nemotron Lightning 3 5 30b A3b

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.

Google

Model

Databricks Gemini 3 Pro Image

Image input

Context window

66K

65,536 tokens · ~49K words

Model page
Nvidia

Model

Fw Nemotron Lightning 3 5 30b A3b

Tool calling

Context window

262K

262,144 tokens · ~197K 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 Gemini 3 Pro Image66K
Fw Nemotron Lightning 3 5 30b A3b262K

Fw Nemotron Lightning 3 5 30b A3b has about 4× the context window of the other in this pair.

Token calculator →Memory savings →

Fw Nemotron Lightning 3 5 30b A3b has 300% more context capacity (262K vs 65K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Fw Nemotron Lightning 3 5 30b A3b. Its 262K context fits entire documents without chunking (vs 65K).

Full specs

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

SpecDatabricks Gemini 3 Pro ImageFw Nemotron Lightning 3 5 30b A3b
Context window65,536 tokens (65K)262,144 tokens (262K)
Max output tokens32,768 tokens (32K)N/A
Speed tierFastFast
VisionYesNo
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
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 Gemini 3 Pro Image inDatabricks Gemini 3 Pro Image outFw Nemotron Lightning 3 5 30b A3b inFw Nemotron Lightning 3 5 30b A3b out
Azure——$0.060/M$0.220/M
Databricks————

Frequently asked questions

Fw Nemotron Lightning 3 5 30b A3b has a larger context window: 262K tokens vs 65K. 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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