Here's the latest on the **DeepSeek Flash model** as of today, **July 31, 2026**:
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## ๐ DeepSeek-V4-Flash-0731 โ Released Today!
DeepSeek released **DeepSeek-V4-Flash-0731** on July 31, 2026, a major update to their V4-Flash model. Here are the key details:
### ๐ฆ Availability
- **Public beta** via the DeepSeek API โ set model name to `deepseek-v4-flash`
- **Same architecture** as V4-Flash-Preview (284B total params, 13B active, 1M context window) โ only **re-post-trained**
- **MIT-licensed weights** available on Hugging Face
- Natively supports the **Responses API format** and is adapted for **Codex**
- Legacy model names `deepseek-chat` and `deepseek-reasoner` were **discontinued on July 24, 2026**
### ๐ง Agent Benchmark Scores (huge improvements over V4-Pro-Preview)
| Benchmark | Score |
|---|---|
| **Terminal Bench 2.1** | **82.7** |
| **Cybergym** | **76.7** |
| **Toolathlon (verified)** | **70.3** |
| **DSBench-FullStack** | **68.7** |
| **DSBench-Hard** | **59.6** |
| **DeepSWE** | **54.4** |
| **NL2Repo** | **54.2** |
| **Agent Last Exam** | **25.2** |
| **Automation Bench (Public)** | **25.1** |
### ๐ Competitive Positioning
- **Artificial Analysis Intelligence Index score: 50** (up from 40 for the previous V4 Flash)
- Nearly matches **OpenAI's GPT-5.6 Luna** (score of 51) โ at roughly **60% lower cost**
- Outperforms GPT-5.6 Luna on several agentic benchmarks
### ๐ฎ What's Next
- The **official release of DeepSeek-V4-Pro** is expected to follow soon
- The APP/WEB models remain unchanged for now โ this update only affects the Flash API
In short, DeepSeek-V4-Flash-0731 is a **highly competitive, cost-efficient model** that punches well above its weight class, especially in agentic/coding tasks.
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