head-to-head

Meta: Muse Ember vs MoonshotAI: Kimi K3.1 Pro

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-12.

Meta: Muse Ember MoonshotAI: Kimi K3.1 Pro
Vendormetamoonshotai
Quality Score100100
Benchmark Score56.775.0
Input Price$0.10/M$2.00/M
Output Price$0.50/M$10.00/M
Context Window1,048,5761,048,576
Max Output943,718943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index59.476.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Muse Ember costs $0.23 and Kimi K3.1 Pro costs $4.50, so Muse Ember is about 20.0 times cheaper for the same work.

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

Only Muse Ember offers audio input.

On our blended benchmark score Kimi K3.1 Pro leads 75.0 to 56.7.

Across the 20 tasks where they differ, Muse Ember scores higher on 7 (Code Completion, Code Documentation, Regex Writing and others), Kimi K3.1 Pro on 13 (SQL Generation, Code Review, Code Refactoring and others).

Muse Ember was released in November 2026 and Kimi K3.1 Pro in October 2026.

Pick Muse Ember if you need lower cost or audio input; pick Kimi K3.1 Pro if you need benchmark performance.

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?

TaskMeta: Muse EmberMoonshotAI: Kimi K3.1 Pro
SQL Generation 141 142
Code Review 143 146
Code Completion 133 119
Code Refactoring 145 148
Bug Fixing 147 150
Unit Test Generation 131 133
Code Documentation 137 136
Regex Writing 125 125
CI/CD Pipelines 127 129
Frontend Component Design 129 131
Data Analysis 132 135
CSV / Spreadsheet Cleanup 136 135
ETL Scripting 136 138
JSON Extraction 131 121
Bulk Data Labeling 129 118
OCR / Document Parsing 134 134
Table Extraction from PDFs 134 134
Long-Document Summarization 147 149
Short-Form Summarization 126 117
Blog Post Writing 129 130

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

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