picksbymodel Get API access →
head-to-head

Google: Gemini 3.8 Flash (batch) vs Meta: Muse Spark 1.1

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-04.

Google: Gemini 3.8 Flash (batch) Meta: Muse Spark 1.1
Vendorgooglemeta
Quality Score100100
Benchmark Score93.484.7
Input Price$0.38/M$1.25/M
Output Price$1.88/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_index96.887.8
ai_index_agentic82.565.6
ai_index_coding100.0100.0

Who wins by task?

TaskGoogle: Gemini 3.8 Flash (batch)Meta: Muse Spark 1.1
SQL Generation 173 170
Code Review 169 166
Code Completion 133 120
Code Refactoring 166 163
Bug Fixing 183 178
Unit Test Generation 156 153
Code Documentation 144 142
Regex Writing 138 135
CI/CD Pipelines 146 144
Frontend Component Design 148 146
Data Analysis 173 168
CSV / Spreadsheet Cleanup 155 153
ETL Scripting 156 153
JSON Extraction 149 139
Bulk Data Labeling 135 126
OCR / Document Parsing 147 146
Table Extraction from PDFs 147 146
Long-Document Summarization 162 159
Short-Form Summarization 132 123
Blog Post Writing 142 139

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

Related comparisons

Meta: Muse Spark 1.3 Contributor vs Google: Gemini 3.8 Flash (batch) Meta: Muse Spark 1.3 Contributor vs Meta: Muse Spark 1.1 Meta: Muse Spark 1.3 vs Google: Gemini 3.8 Flash (batch) Meta: Muse Spark 1.3 vs Meta: Muse Spark 1.1 Google: Gemini 3.8 Flash vs Google: Gemini 3.8 Flash (batch) Google: Gemini 3.8 Flash vs Meta: Muse Spark 1.1 Google: Gemini 3.8 Flash (batch) vs Z.ai: GLM Flash Latest Google: Gemini 3.8 Flash (batch) vs Qwen: Qwen3.8 Flash