# DeepSeek-V4-Flash-0731

DeepSeek-V4-Flash-0731 is an AI model released by DeepSeek on Jul 31 2026. At release it scored 82.7% on Terminal-Bench 2.1, 70.3% on Toolathlon-Verified and 76.7% on CyberGym.

## Facts

| Field | Value |
| --- | --- |
| Model | DeepSeek-V4-Flash-0731 |
| Developer | DeepSeek |
| Release date | Friday, Jul 31 2026 |
| Licensing | Proprietary |

## Benchmark scores published at release

| Benchmark | Score | What it measures |
| --- | --- | --- |
| Terminal-Bench 2.1 | 82.7% | Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. |
| Toolathlon-Verified | 70.3% | Tests how well the AI uses everyday personal tools and apps to get things done — a human-checked version of Toolathlon. Higher is better. |
| CyberGym | 76.7% | Tests the AI on cybersecurity challenges — finding and exploiting software weaknesses inside a safe sandbox. Higher is better. |
| AutomationBench | 25.1% | Tests whether the AI can run real multi-step business workflows — the kind of end-to-end office processes companies want to automate — from start to finish. Higher is better. |

## About DeepSeek-V4-Flash-0731

DeepSeek-V4-Flash-0731, announced July 31, 2026 as the "official" V4-Flash API in public beta, was a post-training refresh of the April V4-Flash build — same architecture, retrained for agentic work. The jump was unusually large for a checkpoint update: on DeepSeek's own evaluation harness it scored 82.7 on Terminal-Bench 2.1 against 61.8 for the April build, and 76.7 on CyberGym, surpassing the larger V4-Pro-Preview on several coding benchmarks despite being the cheaper tier. DeepSeek's harness numbers for competitor models differed from those labs' own published figures, so its launch chart is best read as within-family comparison.

The release doubled as a renaming: DeepSeek retroactively designated the April 24 builds V4-Flash-Preview and V4-Pro-Preview, and served the new checkpoint under the unchanged deepseek-v4-flash API name — existing callers were switched to it without a code change. It added native support for the OpenAI Responses API format and Codex compatibility. Unlike every prior DeepSeek release, it shipped API-only at launch: no 0731 weights were published, and Hugging Face still carried the April build at release. V4-Pro, the app, and the web product stayed on their April checkpoints.

## Questions and answers

### When was DeepSeek-V4-Flash-0731 released?

DeepSeek-V4-Flash-0731 was released by DeepSeek on Friday, Jul 31 2026.

### Who made DeepSeek-V4-Flash-0731?

DeepSeek-V4-Flash-0731 was built by DeepSeek. Chinese AI lab known for efficient, open-weight models. Gained attention for strong performance at lower cost.

### What benchmark scores did DeepSeek-V4-Flash-0731 get?

DeepSeek-V4-Flash-0731 reports 4 tracked benchmark scores — Terminal-Bench 2.1: 82.7%; Toolathlon-Verified: 70.3%; CyberGym: 76.7%; AutomationBench: 25.1%. Scores are the figures published at release by DeepSeek.

### Is DeepSeek-V4-Flash-0731 open source?

No. DeepSeek-V4-Flash-0731 is a proprietary model. The weights are not published — it is available only through the provider's own API, apps, or partner platforms.

### What came before and after DeepSeek-V4-Flash-0731?

DeepSeek's previous tracked release was DeepSeek-V4-Flash on Apr 24 2026, 98 days earlier. It is the most recent DeepSeek model tracked on AI Release Tracker.


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Canonical page: https://aireleasetracker.com/model/deepseek/deepseek-v4-flash-0731
Full dataset: https://aireleasetracker.com/llms-full.txt · JSON: https://aireleasetracker.com/models.json
Source: AI Release Tracker (https://aireleasetracker.com). Benchmark scores are the figures published by the releasing lab at launch.