Context Window

Compare

Gemma Sea Lion V4 27b It vs Grok 2 Vision Latest

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

Gemma Sea Lion V4 27b It

Context window

128K

128,000 tokens · ~96K words

Model page
Xai

Model

Grok 2 Vision Latest

Image inputTool calling

Context window

33K

32,768 tokens · ~25K 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.

Gemma Sea Lion V4 27b It128K
Grok 2 Vision Latest33K

Gemma Sea Lion V4 27b It has about 3.9× the context window of the other in this pair.

Token calculator →Memory savings →

Gemma Sea Lion V4 27b It has 290% more context capacity (128K vs 32K tokens). Gemma Sea Lion V4 27b It is 82% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gemma Sea Lion V4 27b It. Its 128K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use Gemma Sea Lion V4 27b It. Input tokens are 82% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gemma Sea Lion V4 27b It. 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.

SpecGemma Sea Lion V4 27b ItGrok 2 Vision Latest
Context window128,000 tokens (128K)32,768 tokens (32K)
Max output tokens128,000 tokens (128K)32,768 tokens (32K)
Speed tierFastBalanced
VisionNoYes
Function callingNoYes
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.

ProviderGemma Sea Lion V4 27b It inGemma Sea Lion V4 27b It outGrok 2 Vision Latest inGrok 2 Vision Latest out
Cloudflare$0.351/M$0.555/M——
Xai——$2.00/M$10.00/M

Frequently asked questions

Gemma Sea Lion V4 27b It has a larger context window: 128K tokens vs 32K. 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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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