head-to-head

Meta: Muse Spark 1.3 vs Google: Gemini 3.8 Flash

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-27.

Meta: Muse Spark 1.3 Google: Gemini 3.8 Flash
Vendormetagoogle
Quality Score100100
Benchmark Score82.369.0
Input Price$1.25/M$0.75/M
Output Price$4.25/M$3.75/M
Context Window1,048,5761,048,576
Max Output943,71865,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓✓
Benchmark Scores
ai_index79.467.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemini 3.8 Flash costs $1.69 and Muse Spark 1.3 costs $2.31, so Gemini 3.8 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 Muse Spark 1.3 leads 82.3 to 69.0.

Across the 20 tasks where they differ, Muse Spark 1.3 scores higher on 16 (SQL Generation, Code Review, Code Refactoring and others), Gemini 3.8 Flash on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).

Pick Muse Spark 1.3 if you need benchmark performance or the stronger all-round task scores; pick Gemini 3.8 Flash 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?

TaskMeta: Muse Spark 1.3Google: Gemini 3.8 Flash
SQL Generation 143 141
Code Review 147 144
Code Completion 120 132
Code Refactoring 148 146
Bug Fixing 151 148
Unit Test Generation 133 132
Code Documentation 138 137
Regex Writing 126 125
CI/CD Pipelines 129 128
Frontend Component Design 131 130
Data Analysis 135 134
CSV / Spreadsheet Cleanup 136 136
ETL Scripting 139 137
JSON Extraction 122 131
Bulk Data Labeling 120 128
OCR / Document Parsing 135 134
Table Extraction from PDFs 135 134
Long-Document Summarization 150 148
Short-Form Summarization 118 126
Blog Post Writing 131 129

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

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