DeepSeek V4 Pro 0813 (Max) vs Muse Spark 1.3 (Max)
Which is better for the money: DeepSeek V4 Pro 0813 (Max) by DeepSeek or Muse Spark 1.3 (Max) by Meta? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-24.
Trade-off
Verdict
Depends on your budget
Muse Spark 1.3 (Max) scores 12.1 points higher (48.1 vs 36.0) but costs 1.8× as much to run the benchmark ($2000 vs $1122; flagship vs premium cost classes). Pick Muse Spark 1.3 (Max) when the extra intelligence is worth the premium, otherwise DeepSeek V4 Pro 0813 (Max).
| Metric | DeepSeek V4 Pro 0813 (Max) | Muse Spark 1.3 (Max) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 36.0 | 48.1 | +33.6% Muse Spark 1.3 (Max) is 33.6% more intelligent |
| Total AA cost (lower is better) | $1,122.27 | $2,000.35 | +78.2% Muse Spark 1.3 (Max) is 78.2% more expensive |
| End-to-end time (lower is better) | 25.78s | 84.79s | +228.9% Muse Spark 1.3 (Max) is 228.9% slower |
| Price per 1M tokens (in / out) | $1.32 / $3.96 | $1.25 / $4.25 | |
| Input modalities | Text | Text, Image, Video |
Muse Spark 1.3 (Max) vs DeepSeek V4 Pro 0813 (Max): 33.6% more intelligence, 78.2% more cost to run the AA benchmark, and 228.9% slower end-to-end.
Today's Pareto frontier
Against the frontier
- DeepSeek V4 Pro 0813 (Max) is off the frontier: at the same or lower cost, GPT-6.1 Sol (Max) scores 51.80 for $1082.
- Muse Spark 1.3 (Max) is off the frontier: at the same or lower cost, GPT-6.1 Sol (Max) scores 51.80 for $1082.
DeepSeek V4 Pro 0813 (Max)Muse Spark 1.3 (Max)Today's Pareto frontierOpen-weights frontierEvery other model
Matchup
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Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/deepseek-v4-pro/muse-spark-1-3 · Markdown: /api/v1/compare/deepseek-v4-pro/muse-spark-1-3?format=md · llms.txt · agent skill