# ByteDance Seed AI Model Usage & Rankings | OpenCode Data

- Page: https://opencode.ai/data/bytedance-seed
- JSON: https://opencode.ai/data/bytedance-seed.json

## ByteDance Seed models

| Model | Tokens: past 2 months | Share of lab usage | Context window | Max output | Release date |
| --- | --- | --- | --- | --- | --- |
| [Seedance 2.5](https://opencode.ai/data/bytedance-seed/seedance-2-5.md) | - | - | 0 | 0 | 2026-07-31 |
| [Seed Character](https://opencode.ai/data/bytedance-seed/seed-character.md) | - | - | 256K | 256K | 2026-06-23 |
| [Seed 2.1 Pro](https://opencode.ai/data/bytedance-seed/seed-2-1-pro.md) | - | - | 256K | 256K | 2026-06-23 |
| [Seed Evolving](https://opencode.ai/data/bytedance-seed/seed-evolving.md) | - | - | 256K | 256K | 2026-06-23 |
| [Seed 2.1 Turbo](https://opencode.ai/data/bytedance-seed/seed-2-1-turbo.md) | - | - | 256K | 256K | 2026-06-23 |
| [Seed 2.0 Mini](https://opencode.ai/data/bytedance-seed/seed-2-0-mini.md) | - | - | 256K | 32K | 2026-02-14 |
| [Seed 2.0 Lite](https://opencode.ai/data/bytedance-seed/seed-2-0-lite.md) | - | - | 256K | 32K | 2026-02-14 |
| [Seed 2.0 Pro](https://opencode.ai/data/bytedance-seed/seed-2-0-pro.md) | - | - | 256K | 128K | 2026-02-14 |
| [Seed 2.0 Code](https://opencode.ai/data/bytedance-seed/seed-2-0-code.md) | - | - | 262K | 131K | 2026-02-14 |
| [Seedance 2.0](https://opencode.ai/data/bytedance-seed/seedance-2-0.md) | - | - | 0 | 0 | 2026-02-12 |
| [Seed 1.8](https://opencode.ai/data/bytedance-seed/seed-1-8.md) | - | - | 256K | 64K | 2025-12-28 |
| [Seed 1.6](https://opencode.ai/data/bytedance-seed/seed-1-6.md) | - | - | 256K | 64K | 2025-10-15 |
| [Seed 1.6 Flash](https://opencode.ai/data/bytedance-seed/seed-1-6-flash.md) | - | - | 256K | 32K | 2025-08-28 |
| [Seed-OSS-36B-Instruct](https://opencode.ai/data/bytedance-seed/seed-oss-36b-instruct.md) | - | - | 524K | 524K | 2025-08-20 |
| [Seed 1.6 Vision](https://opencode.ai/data/bytedance-seed/seed-1-6-vision.md) | - | - | 256K | 32K | 2025-08-15 |

## 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.