Anthropic: Claude Sonnet 5.5 (batch) vs Meta: Muse Spark 1.3
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-29.
| Anthropic: Claude Sonnet 5.5 (batch) | Meta: Muse Spark 1.3 | |
|---|---|---|
| Vendor | anthropic | meta |
| Quality Score | 100 | 100 |
| Benchmark Score | 97.0 | 82.3 |
| Input Price | $1.00/M | $1.25/M |
| Output Price | $5.00/M | $4.25/M |
| Context Window | 1,000,000 | 1,048,576 |
| Max Output | 128,000 | 943,718 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 92.4 | 79.4 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Claude Sonnet 5.5 (batch) costs $2.25 and Muse Spark 1.3 costs $2.31, so Claude Sonnet 5.5 (batch) is slightly 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.
Only Muse Spark 1.3 offers video input.
On our blended benchmark score Claude Sonnet 5.5 (batch) leads 97.0 to 82.3.
Across the 20 tasks where they differ, Claude Sonnet 5.5 (batch) scores higher on 18 (SQL Generation, Code Review, Code Completion and others), Muse Spark 1.3 on 2 (JSON Extraction, Bulk Data Labeling).
Pick Claude Sonnet 5.5 (batch) if you need lower cost, benchmark performance or the stronger all-round task scores; pick Muse Spark 1.3 if you need video input.
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?
| Task | Anthropic: Claude Sonnet 5.5 (batch) | Meta: Muse Spark 1.3 |
|---|---|---|
| SQL Generation | 144 | 143 |
| Code Review | 149 | 147 |
| Code Completion | 120 | 120 |
| Code Refactoring | 150 | 148 |
| Bug Fixing | 153 | 151 |
| Unit Test Generation | 135 | 133 |
| Code Documentation | 139 | 138 |
| Regex Writing | 128 | 126 |
| CI/CD Pipelines | 131 | 129 |
| Frontend Component Design | 133 | 131 |
| Data Analysis | 137 | 135 |
| CSV / Spreadsheet Cleanup | 137 | 136 |
| ETL Scripting | 140 | 139 |
| JSON Extraction | 122 | 122 |
| Bulk Data Labeling | 120 | 120 |
| OCR / Document Parsing | 135 | 135 |
| Table Extraction from PDFs | 135 | 135 |
| Long-Document Summarization | 152 | 150 |
| Short-Form Summarization | 119 | 118 |
| Blog Post Writing | 132 | 131 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →