What is the context window of Gemini LearnLM Experimental by NanoGPT?

Gemini LearnLM Experimental by NanoGPT has a context window of 33K tokens. It supports up to 33K input tokens and can generate up to 8K output tokens.

What input and output types does Gemini LearnLM Experimental support?

Gemini LearnLM Experimental by NanoGPT accepts text as input and can generate text as output.

Is Gemini LearnLM Experimental by NanoGPT open source?

No, Gemini LearnLM Experimental by NanoGPT has closed weights. The model is only available through the NanoGPT API.

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Gemini LearnLM Experimental API

NanoGPT

About

Gemini LearnLM Experimental is a high-performance LLM available via the NanoGPT API, ideal for scalable text generation and natural language processing. This model delivers cost-effective pricing at $3.50/1M input and $10.51/1M output tokens. Access Gemini LearnLM Experimental via the NanoGPT API with up to 8K output tokens.

Capabilities

Input Modalities

text

Output Modalities

text

Reasoning

Structured Output

Tool Use

WeightsClosed

Temperature

Fixed

Attachment

Not Supported

Limits

Context Window

33K

Tokens

Input Limit

33K

Tokens

Max Output

Tokens

Pricing

Standard (per 1M tokens)

Input

$3.50

Output

$10.51

Frequently Asked Questions

Gemini LearnLM Experimental by NanoGPT costs $3.50 per 1M input tokens and $10.51 per 1M output tokens.

Model Details

learnlm-1.5-pro-experimental

Provider

NanoGPT

Family

Release Date

May 14, 2024

Knowledge Cutoff

N/A

API Integration

NPM Package

@ai-sdk/openai-compatible

Environment Variables

NANO_GPT_API_KEY

API Base URL

https://nano-gpt.com/api/v1

Documentation