DeepSeek DeepSeek V4 Pro VS Meta Muse Spark 1.1
Decision Recommendation
👑 Editorial Verdict: Muse Spark 1.1 strictly dominates DeepSeek V4 Pro across all compared dimensions. It is not only more cost-effective (blended cost of $2.00 vs $2.17 per 1M tokens) but also delivers superior coding accuracy (61.5% vs 52.1% on SWE-bench). Unless you have platform lock-in, Muse Spark 1.1 is the clear and optimal choice for all development workloads.
Was this recommendation helpful?
Model Specs
DeepSeek V4 Pro
Benchmarks & Scores
Coding (swe-bench-pro)
52.1%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
88%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$2.17Input: $1.74 | Output: $3.48Context Window
1M tokensModel Specs
Muse Spark 1.1
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+9.4%)
61.5%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+3.2%)
91.16%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)1.1x cheaper
$2.00Input: $1.25 | Output: $4.25Context WindowLarger
1.05M tokensFrequently Asked Questions about DeepSeek V4 Pro vs Muse Spark 1.1 comparison
Muse Spark 1.1 is cheaper than DeepSeek V4 Pro. Muse Spark 1.1 has a blended cost of $2.00/1M tokens, which is about 1.1x cheaper than DeepSeek V4 Pro at $2.17/1M tokens.
Muse Spark 1.1 is better for coding tasks on this benchmark. It scores 61.5% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to DeepSeek V4 Pro which scores 52.1%.
Related Matchups
Explore similar comparisons for DeepSeek V4 Pro and Muse Spark 1.1.