Meta: Muse Spark 1.2 Contributor vs inclusionAI: Ling 3.0 Flash
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-06.
| Meta: Muse Spark 1.2 Contributor | inclusionAI: Ling 3.0 Flash | |
|---|---|---|
| Vendor | meta | inclusionai |
| Quality Score | 100 | 100 |
| Benchmark Score | - | 30.4 |
| Input Price | $0.10/M | $0.02/M |
| Output Price | $0.20/M | $0.06/M |
| Context Window | 1,048,576 | 262,144 |
| Max Output | 943,718 | 32,768 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | - |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | - | 33.2 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Ling 3.0 Flash costs $0.037 and Muse Spark 1.2 Contributor costs $0.15, so Ling 3.0 Flash is about 4.1 times cheaper for the same work.
Muse Spark 1.2 Contributor reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 393 pages for Ling 3.0 Flash.
Only Muse Spark 1.2 Contributor offers image input and video input.
Across the 20 tasks where they differ, Muse Spark 1.2 Contributor scores higher on 9 (Code Completion, Code Refactoring, Code Documentation and others), Ling 3.0 Flash on 11 (SQL Generation, Code Review, Bug Fixing and others).
Muse Spark 1.2 Contributor was released in August 2026 and Ling 3.0 Flash in July 2026.
Pick Muse Spark 1.2 Contributor if you need long documents, image input or video input; pick Ling 3.0 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?
| Task | Meta: Muse Spark 1.2 Contributor | inclusionAI: Ling 3.0 Flash |
|---|---|---|
| SQL Generation | 134 | 135 |
| Code Review | 132 | 132 |
| Code Completion | 131 | 129 |
| Code Refactoring | 136 | 133 |
| Bug Fixing | 136 | 136 |
| Unit Test Generation | 124 | 125 |
| Code Documentation | 131 | 129 |
| Regex Writing | 119 | 123 |
| CI/CD Pipelines | 120 | 121 |
| Frontend Component Design | 122 | 96 |
| Data Analysis | 124 | 129 |
| CSV / Spreadsheet Cleanup | 134 | 129 |
| ETL Scripting | 128 | 127 |
| JSON Extraction | 131 | 132 |
| Bulk Data Labeling | 129 | 130 |
| OCR / Document Parsing | 131 | 84 |
| Table Extraction from PDFs | 131 | 84 |
| Long-Document Summarization | 138 | 135 |
| Short-Form Summarization | 123 | 125 |
| Blog Post Writing | 122 | 123 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →