# Gemma-SEA-LION-v4-27B-IT vs Vision Large - AI Model Comparison

- Page: https://opencode.ai/data/compare/aisingapore/gemma-sea-lion-v4-27b-it/vispark/vision-large

|  | Gemma-SEA-LION-v4-27B-IT | Vision Large |
| --- | --- | --- |
| Lab | AI Singapore | Vispark |
| Context window | 128K | 1M |
| Max output | 128K | 66K |
| Input modalities | text | text, image, audio, video, pdf |
| Reasoning | No | Yes |
| Tool calling | No | Yes |
| Open weights | Yes | No |
| Release date | 2025-09-23 | 2024-05-15 |
| Input price per 1M tokens | - | $7.37 |
| Output price per 1M tokens | - | $22.11 |
| Cached input price per 1M tokens | - | - |
| OpenCode tokens: past 2 months | - | - |
| Share of all tokens | - | - |
| Rank by tokens last week | - | - |
| Unique users | - | - |
| Weekly retention | - | - |

Model pages: [Gemma-SEA-LION-v4-27B-IT](https://opencode.ai/data/aisingapore/gemma-sea-lion-v4-27b-it.md), [Vision Large](https://opencode.ai/data/vispark/vision-large.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.