Divanshu Chauhan

engineering @cloudflare. all opinions are my own

[Divanshu Chauhan @Divkix]

@jarredsumner I hope you used fable 5.5

[Divanshu Chauhan @Divkix]

@LukeParkerDev truly a nightmare

[Divanshu Chauhan @Divkix]

Holy shit, I just found out abt https://t.co/Gg7dZLDHay and this is lit, switched from wispr flow and using workers ai for post processing

[Divanshu Chauhan @Divkix]

@Layton_Gott Lfm3 looks promising, gotta try it

[Divanshu Chauhan @Divkix]

Learn durable objects today

[Azim @azmoan]

Today one of our Engineers at @amini_swiss built a showcase / explainer / demo for @CloudflareDev Durable Objects.

It's beautiful and therefore would love to share it with TPOT.

>> https://t.co/JuEqZucvDZ

[Divanshu Chauhan @Divkix]

@azmoan @amini_swiss @CloudflareDev This is beautiful

[Divanshu Chauhan @Divkix]

@LukeberryPi Perfecto!

[Steve Faulkner @southpolesteve]

vinext 1.4 is out with a bunch of performance improvements https://t.co/oPaFm31wcw

[Divanshu Chauhan @Divkix]

babe google did it again

[Google DeepMind @GoogleDeepMind]

Gemini 4 Carbon is our next frontier model.

It’s state-of-the-art across cybersecurity and long-horizon capabilities.

[Divanshu Chauhan @Divkix]

wtf is this

[Divanshu Chauhan @Divkix]

Never bet against @Google

[Artificial Analysis @ArtificialAnlys]

Google’s Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5, and second only to Claude Opus 5.5 on the Artificial Analysis Coding Agent Index

Gemini 4 Carbon scores 59 on Intelligence Index v5, driven by leading performance in complex reasoning, knowledge, and scientific tasks. It also has large gains in coding and knowledge work, particularly when compared to other Gemini models, but it is not leading in all these areas.

As with launch of Gemini 4 Argon, Gemini 4 Carbon is being rolled out to selected users and is not yet publicly available. Google is offering a 50% launch discount, with no confirmed end date. All our charts and figures use standard pricing for both Gemini 4 Carbon and Argon.

Key results for Gemini 4 Carbon with high reasoning:
➤ Gemini 4 Carbon leads the Intelligence Index v5, with the #1 score in 4 of the 9 Index evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, AutomationBench-AA. Carbon makes substantial gains elsewhere but is not leading in coding and knowledge work

➤ Behind only Claude Opus 5.5 on coding agents: With Antigravity CLI, Gemini 4 Carbon (high) scores 59 only 3 points behind Claude Code with Claude Opus 5.5 (max, 62) on the Artificial Analysis Coding Agent Index. Carbon ranks second on both Terminal-Bench 4.0 (64%) and FrontierCode v1.1 (51%), behind Claude Opus 5.5 (max) at 56%. Google has historically underperformed in this area and so this improvement stands out

➤ Improved agentic knowledge work, but not yet leading: On AA-Briefcase, Gemini 4 Carbon (high) scores 1609 Elo, a 126-point improvement over Gemini 4 Argon (high, 1483), but still behind models including Grok 4.7 (xhigh, 1638), Muse Wonder (max, 1659) and Kimi K3.1 Pro (1678). The largest gain comes from Presentation, up 293 Elo to 1598, alongside a 120-point improvement in Analytical Quality to 1671

➤ Lower Cost per Task than Claude Opus 5.5 for comparable overall intelligence: Gemini 4 Carbon costs $7.76 per Intelligence Index task, ~23% less than Claude Opus 5.5 (max, $10.04) but ~1.2x GPT-6 Astra (max, $6.25). It uses 123k output tokens per task, 29% fewer than Claude Opus 5.5 (max, 173k). At the same $4/$20 standard pricing, its Cost per Task is in line with Gemini 4 Argon ($7.68), while scoring 9 points higher on the Intelligence Index

➤ Leading AA-Omniscience v1.1 score, with low hallucination: Gemini 4 Carbon scores 54 on our recently updated AA-Omniscience v1.1, 6 points ahead of Claude Opus 5.5 (max, 48) and 8 points ahead of Gemini 4 Argon (46). Accuracy (% correct) rises 10 points over Argon to 58%, while its hallucination rate rises from 4% to 11%. This is still the second lowest of any model, behind only Argon, compared with 50% for both Claude Opus 5.5 (max) and GPT-6 Astra (max)

Key model details:
➤ Context Window: 1M tokens
➤ Multimodality: Text, image, video, and speech input, with text output
➤ Pricing: $4/$20 per 1M input/output tokens, the same as Gemini 4 Argon’s standard pricing, with a 50% discount. Cached input tokens receive a 95% discount ($0.20 per 1M)

Congratulations to the @GoogleDeepMind team!

[Divanshu Chauhan @Divkix]

@LukeberryPi I figured this out and soon joined cloudflare

[Divanshu Chauhan @Divkix]

@LukeberryPi yeah

[Divanshu Chauhan @Divkix]

@tereza_tizkova @TheChainsmokers @droid That too surprising to know

[Divanshu Chauhan @Divkix]

@kristianfreeman This is so cool! I remember I jailbroke my ps3 so I could play games earlier, and now my ps4 at v9 jb works great

[Divanshu Chauhan @Divkix]

seriously github?

[Divanshu Chauhan @Divkix]

Even railway got hit?

[Divanshu Chauhan @Divkix]

Woah sick!

[DeepSeek @deepseek_ai]

🚀 Introducing DeepInfer, our in-house inference framework, now fully open source!

Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable.

🔗 https://t.co/JGAik1kgk0

1/4

[Divanshu Chauhan @Divkix]

@usetrmi Let’s run it

[Divanshu Chauhan @Divkix]

@vlbomms try doing it and lmk - curious as well