Compare to

Discover how Google's Gemini 3.8 Flash and Meta's Muse Spark 1.3 stack up against each other in this comprehensive comparison of two leading AI language models. Released in September 2026 and September 2026 respectively, these models represent significant advancements in artificial intelligence, with Gemini 3.8 Flash offering a 1,048,576-token context window and Muse Spark 1.3 offering a 1,048,576-token context window.

Explore their capabilities, pricing, and performance metrics, with Gemini 3.8 Flash achieving 1,493 on LMArena Elo and Muse Spark 1.3 scoring 1,493, making this comparison essential for developers and organizations seeking the right AI solution for their specific needs.

Models Overview

	Gemini 3.8 Flash	Muse Spark 1.3
Provider The company that provides the model.	Google	Meta
Context Length Maximum number of tokens the model can process	1.05M	1.05M
Maximum Output Maximum number of tokens the model can generate in one response	65.54K	Unknown
Release Date When the model was first released.	02-09-2026	02-09-2026
Knowledge Cutoff When the model's training data ends.	Unknown	Unknown
Open Source Whether the model weights are openly available.	FALSE	FALSE

Pricing Comparison

Compare the pricing of Google's Gemini 3.8 Flash and Meta's Muse Spark 1.3 to determine the most cost-effective solution for your AI needs. Prices are the standard API tier per million tokens, as published by each provider as of September 2026.

	Gemini 3.8 Flash	Muse Spark 1.3
Input Cost Cost per million input tokens	$0.75 / 1M tokens	Pricing not available
Output Cost Cost per million tokens generated	$3.75 / 1M tokens	Pricing not available

Comparing Benchmarks and Performance

Compare the performances of Google's Gemini 3.8 Flash and Meta's Muse Spark 1.3 on industry benchmarks. Scores are the ones the providers and public leaderboards report; a benchmark neither reports is left out.

	Gemini 3.8 Flash	Muse Spark 1.3
LMArena Elo Crowd-sourced blind preference rating on the LMArena text leaderboard.	1,493	1,493
Terminal-Bench 2.1 Agentic tasks completed in a real terminal.	89.4%	Benchmark not available

Sources — Gemini 3.8 Flash: ai.google.dev, blog.google, arena.ai, deepmind.google; Muse Spark 1.3: ai.developer.meta.com, llm-stats.com, arena.ai.