# qiniu/conatus vs GPT OSS 120B - AI Model Comparison

- Page: https://opencode.ai/data/compare/custom/qiniu-conatus/openai/gpt-oss-120b
- Updated: 2026-10-30T15:18:31.000Z

|  | qiniu/conatus | GPT OSS 120B |
| --- | --- | --- |
| Lab | Custom | OpenAI |
| Context window | - | 131K |
| Max output | - | 33K |
| Input modalities | - | text |
| Reasoning | - | Yes |
| Tool calling | - | Yes |
| Open weights | - | Yes |
| Release date | - | 2025-08-05 |
| Input price per 1M tokens | - | $2.92 |
| Output price per 1M tokens | - | $2.92 |
| Cached input price per 1M tokens | - | - |
| OpenCode tokens: past 2 months | 2M | 163K |
| Share of all tokens | 0% | 0% |
| Rank by tokens last week | #54 | #57 |
| Unique users | 1 | 2 |
| Weekly retention | - | - |

Model pages: [qiniu/conatus](https://opencode.ai/data/custom/qiniu-conatus.md), [GPT OSS 120B](https://opencode.ai/data/openai/gpt-oss-120b.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.