# Jamba Large vs GPT-5.6 Luna - AI Model Comparison

- Page: https://opencode.ai/data/compare/ai21/jamba-large/openai/gpt-5-6-luna
- Updated: 2026-10-02T09:36:21.000Z

|  | Jamba Large | GPT-5.6 Luna |
| --- | --- | --- |
| Lab | AI21 | OpenAI |
| Context window | 256K | 1.1M |
| Max output | 4.1K | 128K |
| Input modalities | text | text, image, pdf |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | No |
| Release date | 2025-07-01 | 2026-07-09 |
| Input price per 1M tokens | $2.00 | $0.20 |
| Output price per 1M tokens | $8.00 | $1.20 |
| Cached input price per 1M tokens | - | $0.02 |
| OpenCode tokens: past 2 months | - | 6.4T |
| Share of all tokens | - | 0.7% |
| Rank by tokens last week | - | #18 |
| Unique users | - | 602K |
| Weekly retention | - | 55.0% |

Model pages: [Jamba Large](https://opencode.ai/data/ai21/jamba-large.md), [GPT-5.6 Luna](https://opencode.ai/data/openai/gpt-5-6-luna.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.