# DeepSeek V4.1 Flash vs muse-spark-1.4-contributor - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v4-1-flash/meta/muse-spark-1-4-contributor
- Updated: 2026-11-09T02:07:01.000Z

|  | DeepSeek V4.1 Flash | muse-spark-1.4-contributor |
| --- | --- | --- |
| Lab | DeepSeek | Meta |
| Context window | 1M | - |
| Max output | 384K | - |
| Input modalities | text, image | - |
| Reasoning | Yes | - |
| Tool calling | Yes | - |
| Open weights | Yes | - |
| Release date | 2026-09-10 | - |
| Input price per 1M tokens | $0.30 | - |
| Output price per 1M tokens | $1.20 | - |
| Cached input price per 1M tokens | $0.0060 | - |
| OpenCode tokens: past 2 months | 686T | 0 |
| Share of all tokens | 51% | 0% |
| Rank by tokens last week | #1 | - |
| Unique users | 5.7M | 0 |
| Weekly retention | 75.6% | - |

Model pages: [DeepSeek V4.1 Flash](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md), [muse-spark-1.4-contributor](https://opencode.ai/data/meta/muse-spark-1-4-contributor.md)

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.
