head-to-head

Meta: Muse Spark 1.3 vs Google: Gemini 3.7 Flash (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.

Meta: Muse Spark 1.3 Google: Gemini 3.7 Flash (batch)
Vendormetagoogle
Quality Score100100
Benchmark Score81.7-
Input Price$1.25/M$0.38/M
Output Price$4.25/M$1.88/M
Context Window1,048,5761,048,576
Max Output943,71865,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio-✓
Benchmark Scores
ai_index79.4-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemini 3.7 Flash (batch) costs $0.84 and Muse Spark 1.3 costs $2.31, so Gemini 3.7 Flash (batch) is about 2.7 times cheaper for the same work.

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

Only Gemini 3.7 Flash (batch) offers audio input.

Across the 20 tasks where they differ, Muse Spark 1.3 scores higher on 16 (SQL Generation, Code Review, Code Refactoring and others), Gemini 3.7 Flash (batch) on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).

Muse Spark 1.3 was released in September 2026 and Gemini 3.7 Flash (batch) in August 2026.

Pick Muse Spark 1.3 if you need the stronger all-round task scores; pick Gemini 3.7 Flash (batch) 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?

TaskMeta: Muse Spark 1.3Google: Gemini 3.7 Flash (batch)
SQL Generation 143 133
Code Review 147 132
Code Completion 120 131
Code Refactoring 148 136
Bug Fixing 151 136
Unit Test Generation 133 124
Code Documentation 138 131
Regex Writing 126 119
CI/CD Pipelines 129 120
Frontend Component Design 131 122
Data Analysis 135 124
CSV / Spreadsheet Cleanup 136 133
ETL Scripting 139 128
JSON Extraction 122 131
Bulk Data Labeling 120 129
OCR / Document Parsing 135 131
Table Extraction from PDFs 135 131
Long-Document Summarization 150 137
Short-Form Summarization 118 123
Blog Post Writing 131 121

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

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