whichllmmodel
Back to Dashboard

Meta Muse Spark 1.1 VS Moonshot AI (Kimi) Kimi K2.7 Code

✍️ 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 2.9% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Kimi K2.7 Code is 1.2x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Kimi K2.7 Code 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.
Was this recommendation helpful?
Model Specs

Muse Spark 1.1

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+2.9%)
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

Kimi K2.7 Code

Benchmarks & Scores

Coding (swe-bench-pro)
58.6%

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)1.2x cheaper
$1.71Input: $0.95 | Output: $4.00
Context Window
262.14k tokens

Frequently Asked Questions about Muse Spark 1.1 vs Kimi K2.7 Code comparison

Kimi K2.7 Code is cheaper than Muse Spark 1.1. Kimi K2.7 Code has a blended cost of $1.71/1M tokens, which is about 1.2x 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 Kimi K2.7 Code which scores 58.6%.