Context Window

Compare

Gemma 7b It vs Learnlm 1 5 Pro Experimental

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 7b It

Context window

8K

8,192 tokens · ~6K words

Model page
Google

Model

Learnlm 1 5 Pro Experimental

Image inputTool calling

Context window

33K

32,767 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 7b It8K
Learnlm 1 5 Pro Experimental33K

Learnlm 1 5 Pro Experimental has about 4× the context window of the other in this pair.

Token calculator →Memory savings →

Learnlm 1 5 Pro Experimental has 299% more context capacity (32K vs 8K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Learnlm 1 5 Pro Experimental. Its 32K context fits entire documents without chunking (vs 8K).

Full specs

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

SpecGemma 7b ItLearnlm 1 5 Pro Experimental
Context window8,192 tokens (8K)32,767 tokens (32K)
Max output tokens8,192 tokens (8K)8,192 tokens (8K)
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 7b It inGemma 7b It outLearnlm 1 5 Pro Experimental inLearnlm 1 5 Pro Experimental out
Anyscale$0.150/M$0.150/M——
Fireworks$0.200/M$0.200/M——
Google————
Groq$0.050/M$0.080/M——

Frequently asked questions

Learnlm 1 5 Pro Experimental has a larger context window: 32K 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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