NEW DeepSeek V4 Flash Update is INSANE! artwork

NEW DeepSeek V4 Flash Update is INSANE!

AI News Today | Julian Goldie Podcast

August 2, 2026

DeepSeek V4 Flash API Just Dropped (Built for AI Agents): Benchmarks, 1M Context & Hermes SetupDeepSeek-V4 Flash has officially moved from preview to a live API release aimed at AI agents, with major benchmark jumps across evaluations while keeping the same model architecture and size as the...
Speakers: Julian Goldie
**Julian Goldie** (0:00)
A brand new version of DeepSeek, DeepSeek 4 Flash just went live and is built for AI agents. You can see the announcement just happened a few hours ago today. DeepSeek just dropped a major upgrade to V4 Flash, and it makes your agents seriously more powerful. So DeepSeek say the new benchmark scores far surpass their previous top preview model from the small, fast and cheap tier. I'll show you exactly what I've built with it. I've actually built over 50 things with it already today. So we've tested it relentlessly, and that means your agents get to think across a million tokens of context, they've run longer coding loops and finish more work before you touch the keyboard with AI agents. It's tuned exactly the way modern agents work. So it's a lot straight into the tools you already use. And today I'll show you what changed, what builders are saying about it, how I've wired it into my own agent operating system in minutes, and I'm running it through my actual benchmarks. So stick with me because the last part is where it actually gets interesting. Let's get into it so you can see the new announcement right here and how it performs.
So it's a massive upgrade from Flash Preview. You might actually wonder what has changed here. So previously V4 Flash was in preview mode, and now the official API is actually live. So you can see how it performs. Big, big step up from 61.8 to 82.7, 39.4 to 54.2 on NL2 repo, CyberGym, 38.7 to 76.7, huge upgrades.
DeepSWE, 7.3 to 54.4. By the way, if you're wondering, what does that even mean in reality? How does that compare to other models? So they've actually compared it to Opus 4.8. Obviously Opus 5 just dropped last week, which is obviously much better and kind of like Fable 5 level, but you can already see like it's kind of matching with Opus 4.8. So I'll show you how it works in a second, what we've built with it. Let's get straight into it. So we were testing out relentlessly on Goldy Bench, because as always, I don't want to just look at the benchmarks, I want to actually test out. So we've built out a bunch of stuff of it here. Let's have a look at one. So this is like a parachute drop game, as you can see.
I will say it's not like this is not Fable 5 level peeps, like just so you're 100 percent clear here. This is not like a frontier level model. And this isn't like at the same level, something like Fable 5 At the same time, it's very, very fast. So I mean, we literally built out 50 builds like this in a space of a few hours and it can create some pretty cool stuff. Let's take a look at another one. Here's another example. So you can see this game right here. It's fun to play. It's interesting. By the way, you might be wondering like, why are you building like games with this? Why are you not just using, for example, business automation for showing that sort of stuff?
Mainly because it's like a quick way to get a feel for the logic for the planning for the UI, for the design, for how fast a model can run and how it can handle complex prompts. So that's the reason that we build this sort of stuff. Obviously, in reality, you're going to be using it for actual useful automations, landing pages, websites, agents, et cetera, and that's really what it's designed for. So we tested out on the new API pretty good, pretty fast.
Most of it rendered pretty cleanly as well. Again, not Fable 5 level, but it can create some cool stuff. And so this is the same model, but just a much better agent. And this is part worth understanding. Normally, when a model gets better, it gets bigger, more parameters, hardware, high price, et cetera. But DeepSeek were pretty clear about this. V4 Flash uses the exact same model architecture and size as a preview. The upgrade is in the training, not the size. So it's like the same speed, same tier, just a much sharper agent.
And so it's much better at agentic stuff. So for example, if you were plugging this into your AI agents like Hermes, that is what it's ideal for. That is what it's designed for.
It's not designed to be like a flagship coding model. By the way, V4 Pro, that release is still coming. I'm excited to see what happens there. That could be Fable 5 level when DeepSeek V4 Pro actually gets released. Now we've actually already added it to our agent operating system. I'll show you exactly how you can use it. So we've added it in two different ways and we also tested it on Goldie Bench. So number one is the coding tab, right? So we've actually created this DeepSeek Coder, as you can see right here. And if you want to get this system, it's inside the link in the comments description, or go to the aiprofitborn.com. So we've plugged in DeepSeek V4 Flash, and then you can code with it over here. You can ask it to build something, and then it will actually appear as a preview over here, and you can grab the code for it. Now also, we can see all of our previous builds inside this section. So we can see what we've created with DeepSeek so far. And the great thing about that is that everything that we create is saved for later, and we can view it later. So let's have a look.

6 more minutes of transcript below

Feed this to your agent

Try it now — copy, paste, done:

curl -H "x-api-key: pt_demo" \
  https://spoken.md/transcripts/1000651996090

Works with Claude, ChatGPT, Cursor, and any agent that makes HTTP calls.

From $0.10 per transcript. No subscription. Credits never expire.

Using your own key:

curl -H "x-api-key: YOUR_KEY" \
  https://spoken.md/transcripts/YOUR_EPISODE_ID