head-to-head
inclusionAI: Ling 3.0 Flash VL vs Meta: Muse Spark 1.3
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-23.
| inclusionAI: Ling 3.0 Flash VL | Meta: Muse Spark 1.3 | |
|---|---|---|
| Vendor | inclusionai | meta |
| Quality Score | 100 | 100 |
| Benchmark Score | 38.6 | 82.3 |
| Input Price | $0.06/M | $1.25/M |
| Output Price | $0.18/M | $4.25/M |
| Context Window | 131,072 | 1,048,576 |
| Max Output | 32,768 | 943,718 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | ✓ |
| Benchmark Scores | ||
| ai_index | 40.5 | 79.4 |
Who wins by task?
| Task | inclusionAI: Ling 3.0 Flash VL | Meta: Muse Spark 1.3 |
|---|---|---|
| SQL Generation | 133 | 143 |
| Code Review | 128 | 147 |
| Code Completion | 127 | 120 |
| Code Refactoring | 126 | 148 |
| Bug Fixing | 132 | 151 |
| Unit Test Generation | 123 | 133 |
| Code Documentation | 124 | 138 |
| Regex Writing | 124 | 126 |
| CI/CD Pipelines | 119 | 129 |
| Frontend Component Design | 126 | 131 |
| Data Analysis | 130 | 135 |
| CSV / Spreadsheet Cleanup | 124 | 136 |
| ETL Scripting | 122 | 139 |
| JSON Extraction | 132 | 122 |
| Bulk Data Labeling | 129 | 120 |
| OCR / Document Parsing | 127 | 135 |
| Table Extraction from PDFs | 127 | 135 |
| Long-Document Summarization | 128 | 150 |
| Short-Form Summarization | 126 | 118 |
| Blog Post Writing | 121 | 131 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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