Meta: Muse Spark Open vs inclusionAI: Ling 3.0 Flash VL
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.
| Meta: Muse Spark Open | inclusionAI: Ling 3.0 Flash VL | |
|---|---|---|
| Vendor | meta | inclusionai |
| Quality Score | 100 | 100 |
| Benchmark Score | 63.9 | 36.4 |
| Input Price | $1.25/M | $0.06/M |
| Output Price | $4.25/M | $0.18/M |
| Context Window | 1,048,576 | 131,072 |
| Max Output | 943,718 | 32,768 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | ✓ | - |
| Benchmark Scores | ||
| ai_index | 64.1 | 40.5 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Ling 3.0 Flash VL costs $0.10 and Muse Spark Open costs $2.31, so Ling 3.0 Flash VL is about 22.0 times cheaper for the same work.
Muse Spark Open reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 197 pages for Ling 3.0 Flash VL.
Only Muse Spark Open offers audio input.
On our blended benchmark score Muse Spark Open leads 63.9 to 36.4.
Across the 20 tasks where they differ, Muse Spark Open scores higher on 16 (SQL Generation, Code Review, Code Refactoring and others), Ling 3.0 Flash VL on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).
Muse Spark Open was released in October 2026 and Ling 3.0 Flash VL in September 2026.
Pick Muse Spark Open if you need long documents, audio input, benchmark performance or the stronger all-round task scores; pick Ling 3.0 Flash VL 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 Open | inclusionAI: Ling 3.0 Flash VL |
|---|---|---|
| SQL Generation | 141 | 133 |
| Code Review | 144 | 128 |
| Code Completion | 120 | 127 |
| Code Refactoring | 146 | 126 |
| Bug Fixing | 148 | 132 |
| Unit Test Generation | 131 | 123 |
| Code Documentation | 136 | 124 |
| Regex Writing | 125 | 124 |
| CI/CD Pipelines | 127 | 119 |
| Frontend Component Design | 129 | 126 |
| Data Analysis | 133 | 130 |
| CSV / Spreadsheet Cleanup | 136 | 124 |
| ETL Scripting | 137 | 122 |
| JSON Extraction | 122 | 132 |
| Bulk Data Labeling | 120 | 129 |
| OCR / Document Parsing | 134 | 127 |
| Table Extraction from PDFs | 134 | 127 |
| Long-Document Summarization | 147 | 128 |
| Short-Form Summarization | 118 | 126 |
| Blog Post Writing | 129 | 121 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →