Context Window

Compare

Grok 3 Mini Fast vs Text Bison 001

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

Grok 3 Mini Fast

Tool calling

Context window

131K

131,072 tokens · ~98K words

Model page
Google

Model

Text Bison 001

Context window

8K

8,192 tokens · ~6K 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.

Grok 3 Mini Fast131K
Text Bison 0018K

Grok 3 Mini Fast has about 16× the context window of the other in this pair.

Token calculator →Memory savings →

Grok 3 Mini Fast has 1500% more context capacity (131K vs 8K tokens). Text Bison 001 is 79% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Grok 3 Mini Fast. Its 131K context fits entire documents without chunking (vs 8K).

  • RAG / high-volume retrieval

    Use Text Bison 001. Input tokens are 79% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Grok 3 Mini Fast. Its 131K 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.

SpecGrok 3 Mini FastText Bison 001
Context window131,072 tokens (131K)8,192 tokens (8K)
Max output tokens131,072 tokens (131K)1,024 tokens (1K)
Speed tierFastBalanced
VisionNoNo
Function callingYesNo
Extended thinkingYesNo
Prompt cachingYesNo
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.

ProviderGrok 3 Mini Fast inGrok 3 Mini Fast outText Bison 001 inText Bison 001 out
Google——$0.125/M$0.125/M
Xai$0.600/M$4.00/M——

Frequently asked questions

Grok 3 Mini Fast has a larger context window: 131K tokens vs 8K. 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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Use a smaller model.
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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.

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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