head-to-head

Meta: Muse Ember vs OpenAI: GPT-6 Luna

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

Meta: Muse Ember OpenAI: GPT-6 Luna
Vendormetaopenai
Quality Score100100
Benchmark Score56.742.4
Input Price$0.10/M$0.10/M
Output Price$0.50/M$0.50/M
Context Window1,048,5761,050,000
Max Output943,718128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index59.446.0

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, both cost $0.23 at current list prices.

Both take in a similar amount of text: 1,048,576 and 1,050,000 tokens, about 1,573 and 1,575 pages.

Only Muse Ember offers audio input and video input.

On our blended benchmark score Muse Ember leads 56.7 to 42.4.

Across the 18 tasks where they differ, Muse Ember scores higher on 18 (SQL Generation, Code Review, Code Completion and others).

Muse Ember was released in November 2026 and GPT-6 Luna in September 2026.

Pick Muse Ember if you need audio input, video input, benchmark performance or the stronger all-round task scores.

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 EmberOpenAI: GPT-6 Luna
SQL Generation 141 139
Code Review 143 140
Code Completion 133 132
Code Refactoring 145 143
Bug Fixing 147 144
Unit Test Generation 131 129
Code Documentation 137 136
Regex Writing 125 124
CI/CD Pipelines 127 125
Frontend Component Design 129 127
Data Analysis 132 130
CSV / Spreadsheet Cleanup 136 135
ETL Scripting 136 134
OCR / Document Parsing 134 133
Table Extraction from PDFs 134 133
Long-Document Summarization 147 145
Short-Form Summarization 126 126
Blog Post Writing 129 127

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

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