Gemini 1.5 Flash vs Llama 3.1 8B

A side-by-side comparison of two Small LLM models - to help you pick the right one.

Spec comparison

Gemini 1.5 Flash Llama 3.1 8B
Provider Google Meta
Category Small LLM Small LLM
Context window 1M ctx 128K ctx
Max output 8K ctx -
Input price $0.07 / 1M -
Output price $0.30 / 1M -
License Proprietary Llama 3.1 Community License
Open weights No Yes
Modality Text, Vision, Audio Text

Prices and specs are per provider documentation; verify current figures before relying on them.

Gemini 1.5 Flash: what it's for

Gemini 1.5 Flash is a small, fast, and low-cost multimodal LLM from Google, designed for high-throughput tasks. It excels at handling long-context inputs (up to 1M tokens) and supports text, vision, and audio modalities. The model is optimized for scenarios where speed and cost efficiency are prioritized.

Processing and summarizing long documents or reportsMultimodal content analysis (e.g., extracting insights from text, images, and audio)High-volume conversational applications where latency mattersAutomated data extraction from mixed-format inputsLow-cost prototyping for multimodal AI applications

Llama 3.1 8B: what it's for

Llama 3.1 8B is a small, open-weights language model from Meta designed for efficiency on modest hardware, such as on-device or edge applications. It supports text-based tasks and operates under the Llama 3.1 Community License.

Local text generation for privacy-sensitive applicationsEdge-based language processing in resource-constrained environmentsLightweight chatbots or virtual assistantsExperimenting with open-weights models without high computational requirementsPrototyping language applications before scaling to larger models

See all Small LLM models