Meta: Muse Spark 1.2 vs inclusionAI: Ling 3.0 Flash
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-02.
| Meta: Muse Spark 1.2 | inclusionAI: Ling 3.0 Flash | |
|---|---|---|
| Vendor | meta | inclusionai |
| Quality Score | 100 | 100 |
| Benchmark Score | 66.5 | 30.4 |
| Input Price | $1.25/M | $0.02/M |
| Output Price | $4.25/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 | 65.3 | 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 costs $2.31, so Ling 3.0 Flash is about 62.9 times cheaper for the same work.
Muse Spark 1.2 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 offers image input and video input.
On our blended benchmark score Muse Spark 1.2 leads 66.5 to 30.4.
Across the 20 tasks where they differ, Muse Spark 1.2 scores higher on 16 (SQL Generation, Code Review, Code Refactoring and others), Ling 3.0 Flash on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).
Muse Spark 1.2 was released in August 2026 and Ling 3.0 Flash in July 2026.
Pick Muse Spark 1.2 if you need long documents, image input, video input, benchmark performance or the stronger all-round task scores; 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 | inclusionAI: Ling 3.0 Flash |
|---|---|---|
| SQL Generation | 141 | 135 |
| Code Review | 144 | 132 |
| Code Completion | 120 | 129 |
| Code Refactoring | 146 | 133 |
| Bug Fixing | 148 | 136 |
| Unit Test Generation | 131 | 125 |
| Code Documentation | 136 | 129 |
| Regex Writing | 125 | 123 |
| CI/CD Pipelines | 127 | 121 |
| Frontend Component Design | 129 | 96 |
| Data Analysis | 133 | 129 |
| CSV / Spreadsheet Cleanup | 136 | 129 |
| ETL Scripting | 137 | 127 |
| JSON Extraction | 122 | 132 |
| Bulk Data Labeling | 120 | 130 |
| OCR / Document Parsing | 134 | 84 |
| Table Extraction from PDFs | 134 | 84 |
| Long-Document Summarization | 147 | 135 |
| Short-Form Summarization | 118 | 125 |
| Blog Post Writing | 129 | 123 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →