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Discover how Meta's Muse Spark 1.3 and xAI's Grok 4.6 stack up against each other in this comprehensive comparison of two leading AI language models. Released in September 2026 and August 2026 respectively, these models represent significant advancements in artificial intelligence, with Muse Spark 1.3 offering a 1,048,576-token context window and Grok 4.6 offering a 500,000-token context window.

Explore their capabilities, pricing, and performance metrics to find the right AI solution for your specific needs.

Models Overview

Meta Muse Spark 1.3
Grok 4.6

Provider

The company that provides the model.
MetaxAI

Context Length

Maximum number of tokens the model can process
1.05M500K

Maximum Output

Maximum number of tokens the model can generate in one response
UnknownUnknown

Release Date

When the model was first released.
02-09-202608-2026

Knowledge Cutoff

When the model's training data ends.
UnknownUnknown

Open Source

Whether the model weights are openly available.
FALSEFALSE

Pricing Comparison

Compare the pricing of Meta's Muse Spark 1.3 and xAI's Grok 4.6 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.

Meta Muse Spark 1.3
Grok 4.6

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 xAI's Grok 4.6 on industry benchmarks. Scores are the ones the providers and public leaderboards report; a benchmark neither reports is left out.

Meta Muse Spark 1.3
Grok 4.6

LMArena Elo

Crowd-sourced blind preference rating on the LMArena text leaderboard.
1,493Benchmark not available

Sources — Muse Spark 1.3: ai.developer.meta.com, llm-stats.com, arena.ai; Grok 4.6: docs.x.ai, x.ai.

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