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Meta Muse Spark 1.1 VS Mistral AI Ministral 3 14B

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Muse Spark 1.1 is the premium intelligence choice, scoring 61.5% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Ministral 3 14B is 10.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Ministral 3 14B offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Muse Spark 1.1 fully justifies the cost.
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Model Specs

Muse Spark 1.1

Benchmarks & Scores

Coding (swe-bench-pro)
61.5%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
91.16%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$2.00Input: $1.25 | Output: $4.25
Context WindowLarger
1.05M tokens
Model Specs

Ministral 3 14B

Benchmarks & Scores

Coding (swe-bench-pro)
N/A

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
N/A

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)10.0x cheaper
$0.20Input: $0.20 | Output: $0.20
Context Window
262.14k tokens

Frequently Asked Questions about Muse Spark 1.1 vs Ministral 3 14B comparison

Ministral 3 14B is cheaper than Muse Spark 1.1. Ministral 3 14B has a blended cost of $0.20/1M tokens, which is about 10.0x cheaper than Muse Spark 1.1 at $2.00/1M 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 Ministral 3 14B which scores N/A.