# Nemotron 3.5 Super 120B A12B vs MiMo-V2.5 - AI Model Comparison

- Page: https://opencode.ai/data/compare/nvidia/nemotron-3-5-super-120b-a12b/xiaomi/mimo-v2-5
- Updated: 2026-10-21T06:53:33.000Z

|  | Nemotron 3.5 Super 120B A12B | MiMo-V2.5 |
| --- | --- | --- |
| Lab | NVIDIA | Xiaomi |
| Context window | 1M | 1M |
| Max output | 131K | 131K |
| Input modalities | text | text, image, audio, video |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | Yes |
| Release date | 2026-10-15 | 2026-04-22 |
| Input price per 1M tokens | - | $0.19 |
| Output price per 1M tokens | - | $0.39 |
| Cached input price per 1M tokens | - | $0.0039 |
| OpenCode tokens: past 2 months | - | 37T |
| Share of all tokens | - | 3.5% |
| Rank by tokens last week | - | #16 |
| Unique users | - | 1.3M |
| Weekly retention | - | 70.5% |

Model pages: [Nemotron 3.5 Super 120B A12B](https://opencode.ai/data/nvidia/nemotron-3-5-super-120b-a12b.md), [MiMo-V2.5](https://opencode.ai/data/xiaomi/mimo-v2-5.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.
