Compare

Grok 4 20 Multi Agent Beta 0309 vs Trinity Large Thinking (free)

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 4 20 Multi Agent Beta 0309

Image inputTool calling

Context window

2M

2,000,000 tokens · ~1.5M words

Model page
Arcee Ai

Model

Trinity Large Thinking (free)

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.

Grok 4 20 Multi Agent Beta 03092M
Trinity Large Thinking (free)262K

Grok 4 20 Multi Agent Beta 0309 has about 7.6× the context window of the other in this pair.

Grok 4 20 Multi Agent Beta 0309 has 662% more context capacity (2000K vs 262K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Grok 4 20 Multi Agent Beta 0309. Its 2000K context fits entire documents without chunking (vs 262K).

  • Long output (reports, code files)

    Use Grok 4 20 Multi Agent Beta 0309. Its 2000K 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 4 20 Multi Agent Beta 0309Trinity Large Thinking (free)
Context window2,000,000 tokens (2000K)262,144 tokens (262K)
Max output tokens2,000,000 tokens (2000K)80,000 tokens (80K)
Speed tierBalancedDeep
VisionYesNo
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesNo
Batch APINoNo
Release dateN/AApr 2026

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 4 20 Multi Agent Beta 0309 inGrok 4 20 Multi Agent Beta 0309 outTrinity Large Thinking (free) inTrinity Large Thinking (free) out
Xai$2.00/M$6.00/M

Frequently asked questions

Grok 4 20 Multi Agent Beta 0309 has a larger context window: 2000K 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