DeepSeek: DeepSeek V4.1 Flash (batch) vs Meta: Muse Spark 1.3
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-27.
| DeepSeek: DeepSeek V4.1 Flash (batch) | Meta: Muse Spark 1.3 | |
|---|---|---|
| Vendor | deepseek | meta |
| Quality Score | 100 | 100 |
| Benchmark Score | 66.3 | 82.3 |
| Input Price | $0.11/M | $1.25/M |
| Output Price | $0.34/M | $4.25/M |
| Context Window | 1,048,576 | 1,048,576 |
| Max Output | 131,072 | 943,718 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | ✓ |
| Benchmark Scores | ||
| ai_index | 65.1 | 79.4 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, DeepSeek V4.1 Flash (batch) costs $0.20 and Muse Spark 1.3 costs $2.31, so DeepSeek V4.1 Flash (batch) is about 11.8 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 offers audio input and video input.
On our blended benchmark score Muse Spark 1.3 leads 82.3 to 66.3.
Across the 19 tasks where they differ, DeepSeek V4.1 Flash (batch) scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), Muse Spark 1.3 on 15 (SQL Generation, Code Review, Code Refactoring and others).
Pick DeepSeek V4.1 Flash (batch) if you need lower cost; pick Muse Spark 1.3 if you need audio input, video input, benchmark performance or 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 | DeepSeek: DeepSeek V4.1 Flash (batch) | Meta: Muse Spark 1.3 |
|---|---|---|
| SQL Generation | 141 | 143 |
| Code Review | 144 | 147 |
| Code Completion | 133 | 120 |
| Code Refactoring | 146 | 148 |
| Bug Fixing | 148 | 151 |
| Unit Test Generation | 131 | 133 |
| Code Documentation | 137 | 138 |
| Regex Writing | 126 | 126 |
| CI/CD Pipelines | 127 | 129 |
| Frontend Component Design | 129 | 131 |
| Data Analysis | 133 | 135 |
| ETL Scripting | 137 | 139 |
| JSON Extraction | 131 | 122 |
| Bulk Data Labeling | 129 | 120 |
| OCR / Document Parsing | 134 | 135 |
| Table Extraction from PDFs | 134 | 135 |
| Long-Document Summarization | 148 | 150 |
| Short-Form Summarization | 127 | 118 |
| Blog Post Writing | 129 | 131 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →