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Discover how Meta's Muse Spark 1.3 and Alibaba's Qwen3.8-Max 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 Muse Spark 1.3 offering a 1,048,576-token context window and Qwen3.8-Max offering a 1,000,000-token context window.

Explore their capabilities, pricing, and performance metrics, with Muse Spark 1.3 achieving 1,493 on LMArena Elo and Qwen3.8-Max scoring 1,481, making this comparison essential for developers and organizations seeking the right AI solution for their specific needs.

Models Overview

	Muse Spark 1.3	Qwen3.8-Max
Provider The company that provides the model.	Meta	Alibaba
Context Length Maximum number of tokens the model can process	1.05M	1M
Maximum Output Maximum number of tokens the model can generate in one response	Unknown	131.07K
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	TRUE

Pricing Comparison

Compare the pricing of Meta's Muse Spark 1.3 and Alibaba's Qwen3.8-Max 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.

	Muse Spark 1.3	Qwen3.8-Max
Input Cost Cost per million input tokens	Pricing not available	$2 / 1M tokens
Output Cost Cost per million tokens generated	Pricing not available	$6 / 1M tokens

Comparing Benchmarks and Performance

Compare the performances of Meta's Muse Spark 1.3 and Alibaba's Qwen3.8-Max on industry benchmarks. Scores are the ones the providers and public leaderboards report; a benchmark neither reports is left out.

	Muse Spark 1.3	Qwen3.8-Max
LMArena Elo Crowd-sourced blind preference rating on the LMArena text leaderboard.	1,493	1,481
GPQA Diamond Graduate-level science questions written to be search-proof.	Benchmark not available	92.6%
SWE-bench Pro Harder, contamination-resistant successor of SWE-bench Verified; not comparable with it.	Benchmark not available	67.7%