Meta Muse Spark 1.1 VS Mistral AI Mistral Medium 3.5
Decision Recommendation
👑 Editorial Verdict: Muse Spark 1.1 strictly dominates Mistral Medium 3.5 across all compared dimensions. It is not only more cost-effective (blended cost of $2.00 vs $3.00 per 1M tokens) but also delivers superior coding accuracy (61.5% vs 0% 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
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)1.5x cheaper
$2.00Input: $1.25 | Output: $4.25Context WindowLarger
1.05M tokensModel Specs
Mistral Medium 3.5
Benchmarks & Scores
Coding (swe-bench-pro)
N/Aexcellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
N/Agraduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$3.00Input: $1.50 | Output: $7.50Context Window
262.14k tokensFrequently Asked Questions about Muse Spark 1.1 vs Mistral Medium 3.5 comparison
Muse Spark 1.1 is cheaper than Mistral Medium 3.5. Muse Spark 1.1 has a blended cost of $2.00/1M tokens, which is about 1.5x cheaper than Mistral Medium 3.5 at $3.00/1M 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 Mistral Medium 3.5 which scores N/A.
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