# Jamba Large vs o1-pro - AI Model Comparison

- Page: https://opencode.ai/data/compare/ai21/jamba-large/openai/o1-pro

|  | Jamba Large | o1-pro |
| --- | --- | --- |
| Lab | AI21 | OpenAI |
| Context window | 256K | 200K |
| Max output | 4.1K | 100K |
| Input modalities | text | text, image |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | No |
| Release date | 2025-07-01 | 2025-03-19 |
| Input price per 1M tokens | $2.00 | $150.00 |
| Output price per 1M tokens | $8.00 | $600.00 |
| 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: [Jamba Large](https://opencode.ai/data/ai21/jamba-large.md), [o1-pro](https://opencode.ai/data/openai/o1-pro.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.