head-to-head

Google: Gemini 3.7 Flash vs Meta: Muse Spark 1.1

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-28.

Google: Gemini 3.7 Flash Meta: Muse Spark 1.1
Vendorgooglemeta
Quality Score100100
Benchmark Score65.555.7
Input Price$0.75/M$1.25/M
Output Price$3.75/M$4.25/M
Context Window1,048,5761,048,576
Max Output65,536943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓✓
Benchmark Scores
ai_index64.455.7

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemini 3.7 Flash costs $1.69 and Muse Spark 1.1 costs $2.31, so Gemini 3.7 Flash is about 1.4 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 3.7 Flash leads 65.5 to 55.7.

Across the 20 tasks where they differ, Gemini 3.7 Flash scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Gemini 3.7 Flash was released in August 2026 and Muse Spark 1.1 in July 2026.

Pick Gemini 3.7 Flash if you need lower cost, 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?

TaskGoogle: Gemini 3.7 FlashMeta: Muse Spark 1.1
SQL Generation 141 140
Code Review 144 142
Code Completion 132 120
Code Refactoring 146 144
Bug Fixing 148 146
Unit Test Generation 131 130
Code Documentation 136 135
Regex Writing 125 124
CI/CD Pipelines 127 126
Frontend Component Design 129 128
Data Analysis 133 132
CSV / Spreadsheet Cleanup 136 135
ETL Scripting 137 135
JSON Extraction 131 122
Bulk Data Labeling 128 120
OCR / Document Parsing 134 133
Table Extraction from PDFs 134 133
Long-Document Summarization 147 146
Short-Form Summarization 126 117
Blog Post Writing 129 128

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

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