head-to-head

Google: Gemini 4 Carbon (batch) vs Meta: Muse Ember

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

Google: Gemini 4 Carbon (batch) Meta: Muse Ember
Vendorgooglemeta
Quality Score100100
Benchmark Score98.956.7
Input Price$1.00/M$0.10/M
Output Price$5.00/M$0.50/M
Context Window1,048,5761,048,576
Max Output943,718943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓✓
Benchmark Scores
ai_index99.059.4

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Muse Ember costs $0.23 and Gemini 4 Carbon (batch) costs $2.25, so Muse Ember is about 10.0 times cheaper for the same work.

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

On our blended benchmark score Gemini 4 Carbon (batch) leads 98.9 to 56.7.

Across the 20 tasks where they differ, Gemini 4 Carbon (batch) scores higher on 16 (SQL Generation, Code Review, Code Refactoring and others), Muse Ember on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).

Pick Gemini 4 Carbon (batch) if you need benchmark performance or the stronger all-round task scores; pick Muse Ember if you need lower cost.

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?

TaskGoogle: Gemini 4 Carbon (batch)Meta: Muse Ember
SQL Generation 145 141
Code Review 150 143
Code Completion 120 133
Code Refactoring 151 145
Bug Fixing 154 147
Unit Test Generation 135 131
Code Documentation 139 137
Regex Writing 128 125
CI/CD Pipelines 131 127
Frontend Component Design 133 129
Data Analysis 138 132
CSV / Spreadsheet Cleanup 137 136
ETL Scripting 141 136
JSON Extraction 122 131
Bulk Data Labeling 120 129
OCR / Document Parsing 135 134
Table Extraction from PDFs 135 134
Long-Document Summarization 153 147
Short-Form Summarization 119 126
Blog Post Writing 133 129

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

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