picksbymodel Get API access →
head-to-head

Google: Gemini 3.7 Flash (batch) vs Meta: Muse Spark 1.2

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-08-14.

Google: Gemini 3.7 Flash (batch) Meta: Muse Spark 1.2
Vendorgooglemeta
Quality Score100100
Benchmark Score89.792.4
Input Price$0.19/M$1.25/M
Output Price$0.94/M$4.25/M
Context Window1,048,5761,048,576
Max Output65,536-
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓✓
Benchmark Scores
ai_index92.493.7
ai_index_agentic74.481.4
ai_index_coding100.0100.0

Who wins by task?

TaskGoogle: Gemini 3.7 Flash (batch)Meta: Muse Spark 1.2
SQL Generation 172 173
Code Review 168 168
Code Completion 133 120
Code Refactoring 165 165
Bug Fixing 181 182
Unit Test Generation 155 155
Code Documentation 144 143
Regex Writing 137 137
CI/CD Pipelines 145 145
Frontend Component Design 147 147
Data Analysis 171 173
CSV / Spreadsheet Cleanup 154 154
ETL Scripting 155 155
JSON Extraction 149 140
Bulk Data Labeling 135 126
OCR / Document Parsing 147 147
Table Extraction from PDFs 147 147
Long-Document Summarization 161 161
Short-Form Summarization 132 124
Blog Post Writing 141 141

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

Related comparisons

Google: Gemini 3.7 Flash vs Google: Gemini 3.7 Flash (batch) Google: Gemini 3.7 Flash vs Meta: Muse Spark 1.2 Google: Gemini 3.7 Flash (batch) vs ByteDance Seed: Seed 2.1 Turbo Google: Gemini 3.7 Flash (batch) vs ByteDance Seed: Seed-2.0-Code Google: Gemini 3.7 Flash (batch) vs SpaceXAI: Grok 4.6 Google: Gemini 3.7 Flash (batch) vs Sakana: Sakana Namazu Google: Gemini 3.7 Flash (batch) vs Qwen: Qwen3.8 Max Google: Gemini 3.7 Flash (batch) vs Thinking Machines: Inkling Small