DeepSeek-V4-Flash-0731 is the official release of V4-Flash, featuring a massive leap in agentic capabilities. It outperforms V4-Pro (Preview) on key benchmarks, natively supports the Responses API, and is fully adapted for Codex CLI.
DeepSeek-V4-Flash-0731 keeps the same architecture and size as the preview model, but the jump in agentic performance is hard to treat as a normal update.
Terminal-Bench 2.1 moved from 61.8 to 82.7. DeepSWE went from 7.3 to 54.4 (simply CRAZY). Flash now beats V4-Pro Preview on every benchmark shown in DeepSeek’s release table, while activating far fewer parameters.
Top-tier intelligence is becoming extremely cheap. I mean extremely cheap.
I think we are entering a different phase of AI. When intelligence at this level is almost free and available through Codex, what will you build? How far can your imagination go when the cost of trying is no longer the main constraint??
P.S. one slightly crazy hint👀👀:
About DeepSeek-V4-Flash-0731 on Product Hunt
“Frontier agent intelligence at Flash prices”
DeepSeek-V4-Flash-0731 launched on Product Hunt on August 1st, 2026 and earned 320 upvotes and 10 comments, earning #2 Product of the Day. DeepSeek-V4-Flash-0731 is the official release of V4-Flash, featuring a massive leap in agentic capabilities. It outperforms V4-Pro (Preview) on key benchmarks, natively supports the Responses API, and is fully adapted for Codex CLI.
On the analytics side, DeepSeek-V4-Flash-0731 competes within API, Open Source and Artificial Intelligence — topics that collectively have 642.3k followers on Product Hunt. The dashboard above tracks how DeepSeek-V4-Flash-0731 performed against the three products that launched closest to it on the same day.
Who hunted DeepSeek-V4-Flash-0731?
DeepSeek-V4-Flash-0731 was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
DeepSeek-V4-Flash-0731 has received 49 reviews on Product Hunt with an average rating of 4.88/5. Read all reviews on Product Hunt.
For a complete overview of DeepSeek-V4-Flash-0731 including community comment highlights and product details, visit the product overview.
Zac Zuo
Hi everyone!
This is another @DeepSeek moment.
DeepSeek-V4-Flash-0731 keeps the same architecture and size as the preview model, but the jump in agentic performance is hard to treat as a normal update.
Terminal-Bench 2.1 moved from 61.8 to 82.7. DeepSWE went from 7.3 to 54.4 (simply CRAZY). Flash now beats V4-Pro Preview on every benchmark shown in DeepSeek’s release table, while activating far fewer parameters.
The weights and inference code are already available under MIT too, so this is not just an API release.
Then there is the price. V4 Flash currently costs $0.14 per million uncached input tokens and $0.28 per million output tokens. GPT-5.6 Terra and Luna also just got much cheaper.
Top-tier intelligence is becoming extremely cheap. I mean extremely cheap.
I think we are entering a different phase of AI. When intelligence at this level is almost free and available through Codex, what will you build? How far can your imagination go when the cost of trying is no longer the main constraint??
P.S. one slightly crazy hint👀👀: