# Mistral Large 4 vs GLM-5.3 - AI Model Comparison

- Page: https://opencode.ai/data/compare/mistral/mistral-large-4/zhipuai/glm-5-3
- Updated: 2026-10-06T17:39:35.000Z

|  | Mistral Large 4 | GLM-5.3 |
| --- | --- | --- |
| Lab | Mistral | Zhipu |
| Context window | 1M | 1M |
| Max output | 262K | 131K |
| Input modalities | text, image | text |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-10-06 | 2026-08-14 |
| Input price per 1M tokens | $0.68 | $1.40 |
| Output price per 1M tokens | $2.09 | $4.40 |
| Cached input price per 1M tokens | $0.07 | $0.26 |
| OpenCode tokens: past 2 months | - | 1.5T |
| Share of all tokens | - | 0.2% |
| Rank by tokens last week | - | #21 |
| Unique users | - | 342K |
| Weekly retention | - | 52.3% |

Model pages: [Mistral Large 4](https://opencode.ai/data/mistral/mistral-large-4.md), [GLM-5.3](https://opencode.ai/data/zhipuai/glm-5-3.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.