• Latest
  • Trending
  • All
Answer card: Google let its Gemini 3.5 Pro target of July 17 slip past, a third miss, with no model card and nothing in the public API, while the 2M context window, Deep Think mode and roughly fifteen dollar per million pricing are all reporting rather than an official Google announcement.

Gemini 3.5 Pro missed July 17: launch vs leak

18 July 2026
Answer card stating that Qwen-Image-2.1, released on 20 September 2026, ships open weights with a 7 billion parameter diffusion transformer, a Qwen3-VL 8B text encoder and an RGBA VAE totalling about 33 gigabytes in BF16, under the Qwen Research License that limits use to research or evaluation and requires a separate commercial licence, unlike the Apache 2.0 licence of Qwen-Image 1.0.

Qwen-Image-2.1 brings the weights back, but not the Apache licence

21 September 2026
Answer card stating that Ternary Bonsai 2 27B, released by PrismML on 17 September 2026 under Apache 2.0, packs Qwen3.8 27B into 5.95 gigabytes at 1.72 bits per weight, keeps 98.2 percent of the 14-benchmark average, about 75 percent on SWE-bench Verified and Terminal-Bench 2.1, and needs PrismML's llama.cpp fork to run.

Does Bonsai 2 27B really keep 98% of Qwen3.8 in 5.95 GB?

20 September 2026
Answer card stating that Jev 1.13 from TypeSafe AI is a decision model in early access since 15 September 2026 that returns typed probabilities instead of text, priced at 42 dollars per billion input tokens with output tokens free, answering in 70 to 500 milliseconds, with a 64K token request budget, text input only, and a documented list of things it does badly, including counting and dates.

Jev 1.13 bills $42 a billion tokens, and it can’t count

19 September 2026
Answer card stating that Qwen3.8-Omni-Flash launched on 17 September 2026 as an API only model on Alibaba Cloud Model Studio, taking text, images, audio and video in a 1M token context and returning text only, priced at 0.15 dollars per million input tokens for every modality and 0.47 dollars per million output tokens in the international regions, with no open weights published and the Qwen-Live Harness GitHub repository returning 404.

Qwen3.8-Omni-Flash bills audio at $0.15 and ships no weights

18 September 2026
Answer card stating that on 15 September 2026 AWS said it is unable to restore access to resources and data hosted exclusively in the Middle East Bahrain region me-south-1 and in the mec1-az2 zone of the UAE region, because the damage spanned multiple Availability Zones and exceeded what multi-AZ services are designed to withstand.

AWS can’t restore me-south-1, six months after the drone strikes

17 September 2026
Answer card stating that Google released Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking on 15 September 2026 at 3 dollars per million audio input tokens and 12 dollars out, that the thinking model requires asynchronous tools, and that Artificial Analysis scores it 82.6 on its Speech to Speech Quality Index.

Gemini 3.8 Live Extended Thinking rejects any tool that blocks

16 September 2026
Answer card summarising the Atria Dawn Preview release: 744B GLM-5.2 base, MIT licence, 1.5 TB BF16 and 756 GB FP8 checkpoints, 256K context, top on five of sixteen benchmark rows and trailing on SWE-bench Pro.

Atria Dawn Preview is 744B under MIT, and the BF16 weighs 1.5 TB

15 September 2026
Answer card stating that OpenAI released the Agents API in public beta on 10 September 2026 with no separate fee, billed through model tokens, tool calls and hosted sandbox time, with a choice of OpenAI hosted, self hosted or partner sandboxes, US only data residency and no Zero Data Retention support.

OpenAI’s Agents API has no fee, no ZDR and a one hour sandbox clock

14 September 2026
Answer card: Sakana Fugu Max at $2 and $6 per million tokens, Fugu Ultra v2 unchanged at $5 and $30, and Sakana saying Ultra v2 scores without Fable 5 or GPT-6 Astra in its pool.

Fugu Max costs $2 and $6 while Fugu Ultra v2 runs without Fable 5

13 September 2026
Answer card stating that DeepSeek released DeepSeek-V4.1-Flash on 10 September 2026 as a 552 billion parameter mixture of experts model with a new causal encoder decoder architecture that activates 8 billion parameters on input and 16 billion on output, with native vision, a one million token context and MIT licensed weights, that the API model name is now deepseek-flash at 0.15 dollars per million input tokens and 0.60 dollars per million output tokens off peak, and that DeepSeek announced V4 Pro would be routed to V4.1-Flash from 14 September and reversed that on 11 September.

DeepSeek V4.1-Flash arrived, and the V4 Pro retirement lasted a day

12 September 2026
Answer card stating that Cognition released SWE-2 on 10 September 2026, a coding model post-trained from Kimi K3, scoring 50.0 percent on FrontierCode 1.1 Main against 50.9 percent for Claude Fable 5.1 and 27.3 percent on Terminal-Bench 4 against 55.8 percent, available only inside Devin.

SWE-2 trails Fable 5.1 by one point, and by 28 on Terminal-Bench 4

11 September 2026
Answer card for Meta Muse, free to 100 million tokens a week then $20 a month, launched 8 September 2026 for United States adults only, running in a dedicated per user virtual machine.

Does Meta Muse do enough to earn your inbox and a card on file?

9 September 2026
  • About
  • Contact
  • Privacy
  • Legal
Monday, September 21, 2026
  • Login
Packet Nebula
  • Home
  • Articles
    • Security
    • Network
    • Dev
    • Sysadmin
    • SEO
    • Email & DNS
  • Tools
    • Network tools: free, fast, no signup
    • Security tools: free, fast, no signup
    • Developer tools: free, fast, no signup
    • Sysadmin tools: free, fast, no signup
    • SEO tools: free, fast, no signup
    • Email & DNS tools: free, fast, no signup
  • Download
  • About
No Result
View All Result
Packet Nebula
No Result
View All Result
Home Dev

Gemini 3.5 Pro missed July 17: launch vs leak

by stephane
18 July 2026
in Dev
0
Answer card: Google let its Gemini 3.5 Pro target of July 17 slip past, a third miss, with no model card and nothing in the public API, while the 2M context window, Deep Think mode and roughly fifteen dollar per million pricing are all reporting rather than an official Google announcement.
494
SHARES
1.4k
VIEWS
Share on FacebookShare on Twitter

You went to add gemini-3.5-pro to an API call this week because every headline pointed at July 17. It isn't there. Google let a third target for the Pro model slide past without a launch post or an API listing, and as of today it still hasn't shipped. Here's the part worth your time: almost everything you've read about it, the 2 million token context, the Deep Think mode, the price near fifteen dollars a million, even the July 17 date itself, is leak and reporting, not a Google announcement. What Google actually put its name to is one careful sentence about still testing. We went and pulled the confirmed apart from the circulating, because if you're planning a build around this thing, that line is the only part that pays off.

The short answer

Gemini 3.5 Pro was widely reported to land on July 17. It didn’t. That’s the third target it has slipped, and there’s still no model card and nothing in the public Gemini API. Everything you’ve read, the 2M context, Deep Think, the price near $15 a million, is leak, not launch. Here’s the line between what Google actually said and what’s just circulating.

July 17target, missed
3rddeadline to slip
0Pro specs Google posted
Answer card: Google let its Gemini 3.5 Pro target of July 17 slip past, a third miss, with no model card and nothing in the public API, while the 2M context window, Deep Think mode and roughly fifteen dollar per million pricing are all reporting rather than an official Google announcement.
The one-card version. The model isn't out, and the specs you've seen aren't Google's.

The July 17 date was never Google’s

Let’s clear this up first, because it’s the whole story. Google did not announce a July 17 launch. It didn’t miss its own promise on that exact day, because it never made one. That date came from tech outlets and unnamed internal sources, and it spread because everyone wanted a peg to hang the coverage on.

So what’s true as of today? There’s no launch blog post. No model card. No pricing page. And crucially, if you open the Gemini API changelog, there’s no gemini-3.5-pro in it. The most recent public model is still gemini-3.5-flash, which shipped on May 19. Anyone who wrote code against gemini-3.5-pro this week was coding against a rumor.

That’s the honest headline. Not “Google launched a monster context window”, but “Google let a widely reported date pass and said almost nothing.”

The one thing Google will actually say

Here’s what Google has actually confirmed on the record, via statements picked up by Bloomberg and 9to5Google. One, it’s “currently testing 3.5 Pro, an upgraded Flash model, and other models with partners.” Two, the holdup is quality, particularly on coding. That’s it. No specs, no date, no price.

Back at I/O on May 19, the framing was softer: Flash was out, and Pro was “already being used internally”, with a rollout promised for “next month”. Next month meant June. June came and went. The team apparently reset the model somewhere in there, and the target drifted into July, then to the reported July 17, and now past it.

Checklist splitting confirmed facts from leaks about Gemini 3.5 Pro: Flash shipped May 19 and Google confirms it is still testing Pro and blames coding, while the July 17 date, the 2M context window, Deep Think mode, the price near fifteen dollars and the API listing are all leaked or absent rather than confirmed.
Two green rows, four red. That ratio is the actual news here.

Why it slipped: coding

The reason is boring, which usually means it’s real. Google is behind on coding performance, and it decided a weak coding model wasn’t worth shipping into a market where the bar just moved.

Per the Bloomberg reporting, engineers updated the training data in late June to lift coding skill, and the results were disappointing. Reporting goes further and says Google scrapped the original base model and rebuilt it from the ground up, targeting the specific gaps early testers flagged. We can’t independently confirm the “scrapped and rebuilt” detail, so hold that one a little looser than the “still testing, coding is the problem” line, which Google itself has effectively owned.

The competitive picture is what makes a slip sting. Claude Fable 5 landed July 1. GPT-5.6 hit general availability July 9. Both are out, both are being benchmarked in public, and both are coding-focused. That leaves Google as the one major lab without a 2026 flagship in general production on the timeline its own executives floated.

Timeline diagram of Gemini 3.5 Pro delays: on May 19 at Google I/O, Flash shipped and Pro was promised for next month; end of June was the first miss with no Pro; early July was the second miss; and the reported July 17 target was the third miss, with the model still not shipped.
Four dots, one shipped. The Pro model is the empty end of the line.

What to build against right now

If Gemini 3.5 Pro was penciled into a roadmap, unpencil it. You can’t ship on a model that has no API, no price, and no date. Plan for “sometime”, not July.

If you need a Google model today, Gemini 3.5 Flash is real and live, and it’s genuinely fast. It just isn’t the frontier-tier Pro everyone’s waiting on. If you need frontier reasoning or hard coding help, the two models that actually exist this month are GPT-5.6 and Claude Fable 5, and you can hit both over their APIs right now. Honestly, I’d rather build against a model I can call than a spec sheet I can’t verify.

And when Pro does land? Re-check every number in this piece against Google’s own model card. The 2M context might be right. The price might be right. But “might be right from a leak” is a bad foundation for anything you’re going to bill a client for.

The honest read

I want Gemini 3.5 Pro to be good. A strong third frontier model keeps the other two honest on price, and Google’s long-context work has been legitimately ahead. So this isn’t a dunk.

It’s a correction. The internet has been treating a leaked date and a leaked spec sheet as a launch, and it wasn’t one. What shipped is Flash, in May. What’s confirmed about Pro is that Google is still working on the coding, and that’s the entire on-record story. Everything with a number attached is somebody’s report, not Google’s word. Wait for the model card. Then test it on the prompts that actually matter to your work, and let the leaderboard tweets sort themselves out.

Sources: Bloomberg, 9to5Google, Google (I/O post, May 19), Gemini API changelog and TechTimes, July 2026. Google confirms it is still testing 3.5 Pro and cites coding quality as the delay; the July 17 target date, the 2M token context window, the Deep Think mode and all pricing figures are as circulating via reporting and leaks, are not from an official Google model card, and are not independently verified. The May 19 Flash launch and the “next month” line are from Google’s own I/O post.

Frequently asked questions

Is Gemini 3.5 Pro out yet?

No. As of July 18, 2026, Google has not launched Gemini 3.5 Pro. There is no model card, no pricing page, and no gemini-3.5-pro entry in the public Gemini API. The widely reported July 17 target came from third-party reporting, and it passed with nothing shipped. The only Gemini 3.5 model actually released is Flash, back on May 19.

What is Gemini 3.5 Pro's context window?

The number doing the rounds is 2 million tokens, double the 1M on Gemini 3.5 Flash. Treat it as a leak. Google has not published a model card for Pro, so the context window, like the rest of the spec sheet, is reporting rather than a confirmed figure.

How much will Gemini 3.5 Pro cost?

Unknown officially. Estimates in circulation land near $15 per million input tokens and somewhere from $36 to $60 per million output, with the Deep Think reasoning mode reportedly gated behind a pricier consumer tier. None of that is confirmed by Google, so budget nothing around it yet.

Why is Gemini 3.5 Pro delayed?

Google says it is still improving the model, and coding is the sticking point. Per Bloomberg, an attempt in late June to retrain on better coding data gave disappointing results, and reporting says Google scrapped the original base model and rebuilt it from scratch. The official line is that the company is testing 3.5 Pro with partners while shipping other models in the meantime.

What can I use instead while I wait?

The two frontier models that actually shipped this month are GPT-5.6, which reached general availability on July 9, and Claude Fable 5, out since July 1. Gemini 3.5 Flash is also live now if you specifically want a Google model today. Any of those is a real option. Gemini 3.5 Pro is not one, until Google posts it.

Tags: aibig-techgeminigooglellmnews
Share198Tweet124
stephane

stephane

  • Trending
  • Comments
  • Latest
Answer card: Proton Lumo 2.0 is private by policy, not by locality. Saved history is locked so even Proton cannot read it, but the prompt is decrypted on a Proton EU server to answer it, then forgotten.

Proton Lumo 2.0 review: how private is it, really?

3 September 2026
The Agentic Coding section of the official Hy4 preview benchmark appendix published by Tencent, a table comparing Hy3 and Hy4 preview against DeepSeek V4 Pro 0813, Qwen 3.8 Max, GLM 5.3, Kimi K3, GPT 5.6 Sol and Claude Opus 5 across SWE-bench Multilingual, SWE-bench Pro, DeepSWE, three SWE Atlas tasks, SWE-Marathon, Terminal-Bench 2.1, NL2Repo-Bench, CyberGym, ProgramBench, PostTrainBench and Harbor-Index.

Tencent’s 770B Hy4 tops one benchmark row in 46

3 September 2026
Answer card: Qwen 3.7 Max is API-only and cannot run locally yet; the open Qwen models (Qwen 3.6 27B, qwen3:8b to 32b) run offline via Ollama.

Qwen 3.7 local: what you can actually run offline

22 June 2026
Answer card: JWTs are not encrypted, anyone can read them; the signature proves who issued the token, not who may read it.

Are JWTs encrypted? No, and the difference will bite you

0
Answer card: a random 8 character password falls in under 2 hours offline, while 16 random characters hold for 1.4 trillion years at the same speed.

How long does it take to crack a password in 2026?

0
Answer card: three DNS records decide if your mail lands or bounces; SPF lists allowed senders, DKIM signs messages, DMARC sets the failure policy.

SPF, DKIM and DMARC explained: the records your email needs

0
Answer card stating that Qwen-Image-2.1, released on 20 September 2026, ships open weights with a 7 billion parameter diffusion transformer, a Qwen3-VL 8B text encoder and an RGBA VAE totalling about 33 gigabytes in BF16, under the Qwen Research License that limits use to research or evaluation and requires a separate commercial licence, unlike the Apache 2.0 licence of Qwen-Image 1.0.

Qwen-Image-2.1 brings the weights back, but not the Apache licence

21 September 2026
Answer card stating that Ternary Bonsai 2 27B, released by PrismML on 17 September 2026 under Apache 2.0, packs Qwen3.8 27B into 5.95 gigabytes at 1.72 bits per weight, keeps 98.2 percent of the 14-benchmark average, about 75 percent on SWE-bench Verified and Terminal-Bench 2.1, and needs PrismML's llama.cpp fork to run.

Does Bonsai 2 27B really keep 98% of Qwen3.8 in 5.95 GB?

20 September 2026
Answer card stating that Jev 1.13 from TypeSafe AI is a decision model in early access since 15 September 2026 that returns typed probabilities instead of text, priced at 42 dollars per billion input tokens with output tokens free, answering in 70 to 500 milliseconds, with a 64K token request budget, text input only, and a documented list of things it does badly, including counting and dates.

Jev 1.13 bills $42 a billion tokens, and it can’t count

19 September 2026
  • About
  • Contact
  • Privacy
  • Legal

Copyright © 2026 Stephane Cardon.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Home
  • Articles
    • Security
    • Network
    • Dev
    • Sysadmin
    • SEO
    • Email & DNS
  • Tools
    • Network tools: free, fast, no signup
    • Security tools: free, fast, no signup
    • Developer tools: free, fast, no signup
    • Sysadmin tools: free, fast, no signup
    • SEO tools: free, fast, no signup
    • Email & DNS tools: free, fast, no signup
  • Download
  • About

Copyright © 2026 Stephane Cardon.