# DeepSeek AI Model Usage & Rankings | OpenCode Data

> DeepSeek models processed 437T tokens across OpenCode over the past two months, 49% of all usage. DeepSeek V4 Flash was the most-used DeepSeek model.

DeepSeek is an open-model lab known for cost-efficient reasoning systems, visible reasoning APIs, and strong coding and math performance.

- Page: https://opencode.ai/data/deepseek
- JSON: https://opencode.ai/data/deepseek.json
- Updated: 2026-10-02T08:39:37.000Z
- Tokens processed: past 2 months: 437T
- Share of all usage: 49%

## DeepSeek models

| Model | Tokens: past 2 months | Share of lab usage | Context window | Max output | Release date |
| --- | --- | --- | --- | --- | --- |
| [DeepSeek V4.1 Flash](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md) | 140T | 32% | 1M | 384K | 2026-09-10 |
| [DeepSeek V4 Flash Vision Exp](https://opencode.ai/data/deepseek/deepseek-v4-flash-vision-exp.md) | 8.5T | 1.9% | 1M | 384K | 2026-08-21 |
| [DeepSeek V4 Pro 0813](https://opencode.ai/data/deepseek/deepseek-v4-pro-0813.md) | 72M | 0% | 1M | 384K | 2026-08-12 |
| [DeepSeek V4 Flash 0731](https://opencode.ai/data/deepseek/deepseek-v4-flash.md) | - | - | 1M | 384K | 2026-07-31 |
| [DeepSeek V4 Pro](https://opencode.ai/data/deepseek/deepseek-v4-pro.md) | 17T | 3.9% | 1M | 384K | 2026-04-24 |
| [DeepSeek V4 Flash](https://opencode.ai/data/deepseek/deepseek-v4-flash.md) | 271T | 62% | 1M | 384K | 2026-04-24 |
| [DeepSeek V4 Flash 0423](https://opencode.ai/data/deepseek/deepseek-v4-flash-0423.md) | - | - | 1M | 384K | 2026-04-23 |
| [DeepSeek V4 Pro 0423](https://opencode.ai/data/deepseek/deepseek-v4-pro-0423.md) | - | - | 1M | 384K | 2026-04-23 |
| [DeepSeek OCR 2](https://opencode.ai/data/deepseek/deepseek-ocr-2.md) | - | - | 8.2K | 8.2K | 2026-01-27 |
| [DeepSeek Chat](https://opencode.ai/data/deepseek/deepseek-chat.md) | - | - | 1M | 384K | 2025-12-01 |
| [DeepSeek Reasoner](https://opencode.ai/data/deepseek/deepseek-reasoner.md) | - | - | 1M | 384K | 2025-12-01 |
| [DeepSeek V3.2](https://opencode.ai/data/deepseek/deepseek-v3-2.md) | - | - | 128K | 64K | 2025-12-01 |
| [DeepSeek-V3.1](https://opencode.ai/data/deepseek/deepseek-v3-1.md) | - | - | 131K | 8.2K | 2025-08-21 |
| [DeepSeek V3 0324](https://opencode.ai/data/deepseek/deepseek-v3-0324.md) | - | - | 164K | 164K | 2025-03-24 |
| [DeepSeek-R1-Distill-Qwen-32B](https://opencode.ai/data/deepseek/deepseek-r1-distill-qwen-32b.md) | - | - | 131K | 33K | 2025-01-20 |
| [DeepSeek-R1](https://opencode.ai/data/deepseek/deepseek-r1.md) | - | - | 128K | 33K | 2025-01-20 |
| [DeepSeek-V3](https://opencode.ai/data/deepseek/deepseek-v3.md) | - | - | 131K | 8.2K | 2024-12-26 |

## Daily usage: past 2 months

| Date | Tokens | Unique users |
| --- | --- | --- |
| 2026-08-08 | 8.5T | 80K |
| 2026-08-09 | 8.6T | 80K |
| 2026-08-10 | 9.5T | 108K |
| 2026-08-11 | 14T | 231K |
| 2026-08-12 | 18T | 209K |
| 2026-08-13 | 19T | 217K |
| 2026-08-14 | 20T | 212K |
| 2026-08-15 | 18T | 181K |
| 2026-08-16 | 16T | 181K |
| 2026-08-17 | 10T | 211K |
| 2026-08-18 | 9.6T | 198K |
| 2026-08-19 | 8T | 194K |
| 2026-08-20 | 7.3T | 178K |
| 2026-08-21 | 3.4T | 118K |
| 2026-08-22 | 2.7T | 96K |
| 2026-08-23 | 2.6T | 80K |
| 2026-08-24 | 4T | 129K |
| 2026-08-25 | 3.9T | 125K |
| 2026-08-26 | 3.7T | 118K |
| 2026-08-27 | 4.6T | 128K |
| 2026-08-28 | 4.6T | 119K |
| 2026-08-29 | 3.9T | 91K |
| 2026-08-30 | 3.9T | 87K |
| 2026-08-31 | 4.8T | 119K |
| 2026-09-01 | 4.7T | 119K |
| 2026-09-02 | 4.5T | 113K |
| 2026-09-03 | 4.3T | 109K |
| 2026-09-04 | 3.6T | 98K |
| 2026-09-05 | 3.2T | 76K |
| 2026-09-06 | 3.1T | 72K |
| 2026-09-07 | 3.7T | 94K |
| 2026-09-08 | 3.9T | 91K |
| 2026-09-09 | 3.7T | 87K |
| 2026-09-10 | 6.6T | 119K |
| 2026-09-11 | 7.9T | 117K |
| 2026-09-12 | 8.2T | 93K |
| 2026-09-13 | 8.4T | 92K |
| 2026-09-14 | 9.7T | 126K |
| 2026-09-15 | 11T | 125K |
| 2026-09-16 | 11T | 128K |
| 2026-09-17 | 12T | 140K |
| 2026-09-18 | 11T | 128K |
| 2026-09-19 | 8.9T | 103K |
| 2026-09-20 | 9.4T | 100K |
| 2026-09-21 | 12T | 148K |
| 2026-09-22 | 11T | 128K |
| 2026-09-23 | 9.9T | 120K |
| 2026-09-24 | 9.1T | 115K |
| 2026-09-25 | 6.4T | 87K |
| 2026-09-26 | 5.3T | 70K |
| 2026-09-27 | 5.2T | 71K |
| 2026-09-28 | 7.7T | 100K |
| 2026-09-29 | 7.8T | 104K |
| 2026-09-30 | 6.8T | 95K |
| 2026-10-01 | 5.7T | 81K |
| 2026-10-02 | 1.7T | 45K |

## 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.