head-to-head

StepFun: Step 5 Preview vs Meta: Muse Spark 1.3

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-09.

StepFun: Step 5 Preview Meta: Muse Spark 1.3
Vendorstepfunmeta
Quality Score100100
Benchmark Score74.282.3
Input Price$1.00/M$1.25/M
Output Price$2.70/M$4.25/M
Context Window1,000,0001,048,576
Max Output64,000943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index72.279.4

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Step 5 Preview costs $1.68 and Muse Spark 1.3 costs $2.31, so Step 5 Preview is about 1.4 times cheaper for the same work.

Both take in a similar amount of text: 1,000,000 and 1,048,576 tokens, about 1,500 and 1,573 pages.

On our blended benchmark score Muse Spark 1.3 leads 82.3 to 74.2.

Across the 19 tasks where they differ, Step 5 Preview scores higher on 3 (Code Completion, JSON Extraction, Bulk Data Labeling), Muse Spark 1.3 on 16 (SQL Generation, Code Review, Code Refactoring and others).

Step 5 Preview was released in October 2026 and Muse Spark 1.3 in September 2026.

Pick Step 5 Preview if you need lower cost; pick Muse Spark 1.3 if you need 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?

TaskStepFun: Step 5 PreviewMeta: Muse Spark 1.3
SQL Generation 142 143
Code Review 145 147
Code Completion 120 120
Code Refactoring 147 148
Bug Fixing 149 151
Unit Test Generation 132 133
Code Documentation 137 138
Regex Writing 126 126
CI/CD Pipelines 128 129
Frontend Component Design 130 131
Data Analysis 134 135
CSV / Spreadsheet Cleanup 136 136
ETL Scripting 138 139
JSON Extraction 123 122
Bulk Data Labeling 120 120
OCR / Document Parsing 134 135
Table Extraction from PDFs 134 135
Long-Document Summarization 149 150
Blog Post Writing 130 131

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

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