head-to-head

Meta: Muse Spark 1.1 vs Google: Gemma 4 26B A4B

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.

Meta: Muse Spark 1.1 Google: Gemma 4 26B A4B
Vendormetagoogle
Quality Score100100
Benchmark Score-48.4
Input Price$1.25/M$0.07/M
Output Price$4.25/M$0.23/M
Context Window1,048,576262,144
Max Output943,718235,929
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-42.4
ai_index_agentic-18.1
ai_index_coding-64.9
eqbench-56.3

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemma 4 26B A4B costs $0.12 and Muse Spark 1.1 costs $2.31, so Gemma 4 26B A4B is about 18.7 times cheaper for the same work.

Muse Spark 1.1 reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 393 pages for Gemma 4 26B A4B .

Across the 20 tasks where they differ, Gemma 4 26B A4B on 20 (SQL Generation, Code Review, Code Completion and others).

Muse Spark 1.1 was released in July 2026 and Gemma 4 26B A4B in April 2026.

Pick Muse Spark 1.1 if you need long documents; pick Gemma 4 26B A4B if you need lower cost 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?

TaskMeta: Muse Spark 1.1Google: Gemma 4 26B A4B
SQL Generation 133 153
Code Review 132 150
Code Completion 118 131
Code Refactoring 136 148
Bug Fixing 136 156
Unit Test Generation 124 140
Code Documentation 130 136
Regex Writing 118 130
CI/CD Pipelines 120 133
Frontend Component Design 122 136
Data Analysis 124 148
CSV / Spreadsheet Cleanup 133 143
ETL Scripting 128 141
JSON Extraction 122 142
Bulk Data Labeling 120 133
OCR / Document Parsing 131 138
Table Extraction from PDFs 131 138
Long-Document Summarization 137 147
Short-Form Summarization 114 129
Blog Post Writing 121 131

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

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