Meta: Muse Spark 1.3 Contributor vs DeepSeek: DeepSeek V4 Flash Vision Exp
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-04.
| Meta: Muse Spark 1.3 Contributor | DeepSeek: DeepSeek V4 Flash Vision Exp | |
|---|---|---|
| Vendor | meta | deepseek |
| Quality Score | 100 | 100 |
| Benchmark Score | - | 57.7 |
| Input Price | $0.10/M | $0.22/M |
| Output Price | $0.20/M | $0.65/M |
| Context Window | 1,048,576 | 1,048,576 |
| Max Output | 943,718 | 262,144 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | - | 57.5 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Muse Spark 1.3 Contributor costs $0.15 and DeepSeek V4 Flash Vision Exp costs $0.38, so Muse Spark 1.3 Contributor is about 2.5 times cheaper for the same work.
Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.
Only Muse Spark 1.3 Contributor offers video input.
Across the 20 tasks where they differ, Muse Spark 1.3 Contributor scores higher on 2 (JSON Extraction, Bulk Data Labeling), DeepSeek V4 Flash Vision Exp on 18 (SQL Generation, Code Review, Code Completion and others).
Muse Spark 1.3 Contributor was released in September 2026 and DeepSeek V4 Flash Vision Exp in August 2026.
Pick Muse Spark 1.3 Contributor if you need lower cost or video input; pick DeepSeek V4 Flash Vision Exp if you need the stronger all-round task scores.
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 1.3 Contributor | DeepSeek: DeepSeek V4 Flash Vision Exp |
|---|---|---|
| SQL Generation | 134 | 140 |
| Code Review | 132 | 142 |
| Code Completion | 131 | 133 |
| Code Refactoring | 136 | 145 |
| Bug Fixing | 136 | 146 |
| Unit Test Generation | 124 | 130 |
| Code Documentation | 131 | 137 |
| Regex Writing | 119 | 125 |
| CI/CD Pipelines | 120 | 126 |
| Frontend Component Design | 122 | 128 |
| Data Analysis | 124 | 132 |
| CSV / Spreadsheet Cleanup | 134 | 136 |
| ETL Scripting | 128 | 136 |
| JSON Extraction | 131 | 131 |
| Bulk Data Labeling | 129 | 129 |
| OCR / Document Parsing | 131 | 133 |
| Table Extraction from PDFs | 131 | 133 |
| Long-Document Summarization | 138 | 147 |
| Short-Form Summarization | 123 | 126 |
| Blog Post Writing | 122 | 128 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →