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DeepSeek DeepSeek V4 Pro VS Meta Muse Spark 1.1

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

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.
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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: $3.48
Context Window
1M tokens
Model 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: $4.25
Context WindowLarger
1.05M tokens

Frequently 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%.