head-to-head

MoonshotAI: Kimi K3 vs Meta: Muse Spark 1.1

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-27.

MoonshotAI: Kimi K3 Meta: Muse Spark 1.1
Vendormoonshotaimeta
Quality Score100100
Benchmark Score73.955.7
Input Price$3.00/M$1.25/M
Output Price$15.00/M$4.25/M
Context Window1,048,5761,048,576
Max Output943,718943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio-✓
Benchmark Scores
ai_index71.955.7

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Muse Spark 1.1 costs $2.31 and Kimi K3 costs $6.75, so Muse Spark 1.1 is about 2.9 times cheaper for the same work.

Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.

Only Muse Spark 1.1 offers audio input.

On our blended benchmark score Kimi K3 leads 73.9 to 55.7.

Across the 20 tasks where they differ, Kimi K3 scores higher on 13 (SQL Generation, Code Review, Code Refactoring and others), Muse Spark 1.1 on 7 (Code Completion, Code Documentation, Regex Writing and others).

Pick Kimi K3 if you need benchmark performance; pick Muse Spark 1.1 if you need lower cost or audio input.

Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.

Who wins by task?

TaskMoonshotAI: Kimi K3Meta: Muse Spark 1.1
SQL Generation 140 140
Code Review 145 142
Code Completion 117 120
Code Refactoring 147 144
Bug Fixing 149 146
Unit Test Generation 132 130
Code Documentation 134 135
Regex Writing 123 124
CI/CD Pipelines 128 126
Frontend Component Design 130 128
Data Analysis 134 132
CSV / Spreadsheet Cleanup 135 135
ETL Scripting 138 135
JSON Extraction 120 122
Bulk Data Labeling 116 120
OCR / Document Parsing 134 133
Table Extraction from PDFs 134 133
Long-Document Summarization 147 146
Short-Form Summarization 116 117
Blog Post Writing 128 128

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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