Compare

Databricks Grok 4 7 vs Nemotron 3 Nano 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.

Xai

Model

Databricks Grok 4 7

Image inputTool calling

Context window

500K

500,000 tokens · ~375K words

Model page
Nvidia

Model

Nemotron 3 Nano 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 Grok 4 7500K
Nemotron 3 Nano 30B A3B262K

Databricks Grok 4 7 has about 1.9× the context window of the other in this pair.

Databricks Grok 4 7 has 90% more context capacity (500K vs 262K tokens). Nemotron 3 Nano 30B A3B is 98% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Databricks Grok 4 7. Its 500K context fits entire documents without chunking (vs 262K).

  • RAG / high-volume retrieval

    Use Nemotron 3 Nano 30B A3B. Input tokens are 98% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Databricks Grok 4 7. Its 500K 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 Grok 4 7Nemotron 3 Nano 30B A3B
Context window500,000 tokens (500K)262,144 tokens (262K)
Max output tokens500,000 tokens (500K)228,000 tokens (228K)
Speed tierBalancedFast
VisionYesNo
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APINoNo
Release dateN/ADec 2025

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 Grok 4 7 inDatabricks Grok 4 7 outNemotron 3 Nano 30B A3B inNemotron 3 Nano 30B A3B out
Databricks$2.50/M$7.50/M——
Deepinfra——$0.050/M$0.200/M
Novita——$0.050/M$0.200/M
Openrouter——$0.060/M$0.240/M

Frequently asked questions

Databricks Grok 4 7 has a larger context window: 500K tokens vs 262K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model