Gemini 4 Argon
Ranked 15 of 72 language models by recommenders
Praised for natural, elegant writing, multilingual answers and strong vision and benchmark results, though Pro-plan usage limits are very low and Google's rollout and interfaces feel confusing.
Praised for natural, elegant writing, multilingual answers and strong vision and benchmark results, though Pro-plan usage limits are very low and Google's rollout and interfaces feel confusing.
347 people gave an opinion
- recommend it
- 168
- criticize it
- 179
- approval share
- 48%
Recommended in 3 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: not recommended
- May 2026: not recommended
- June 2026: not recommended
- July 2026: not recommended
- August 2026: not recommended
- September 2026: recommended
- October 2026: recommended
- November 2026: recommended (month in progress)
Owned for 1 month
Median of the 4 owners who said how long they have had it.
Each square is one year.
Why it doesn’t carry the badge
- 168 people recommend itNeeds 10 or more, met.
- 0.9 recommenders for every criticNeeds 2 to 1 or better, not met.
- Recommended in 3 of 13 monthsNeeds 4 or more, not met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Natural, elegant writing
“For Argon, it's natural language writing and everything that hooks up to Google, e.g. search and maps-based itinerary planning.”
Comment from 17 Oct 2026 in “DeepSeek-v4.1-Flash-1017” “This is my new favorite general-purpose/non-coding model. It's surprising how good this thing is”
Comment from 13 Oct 2026 in “Gemini 4 Argon” “asked it to rewrite for natural reading and clarity, and got the current README. I'm impressed!”
Comment from 13 Oct 2026 in “Show HN: Pippin – macOS High-Performance Screen Sharing Client for Linux” - Comment from 13 Oct 2026 in “Gemini 4 Argon”
- Comment from 28 Oct 2026 in “Gemini 4 Carbon”
Strong benchmark results
“Considering Opus 5.5 only gets a 4% on the test compared to Gemini’s 20%, that’s actually pretty incredible.”
Comment from 13 Oct 2026 in “Gemini 4 Argon” “The ~200% improvement over the next nearest competitor on Harvey's Legal Benchmark is astounding.”
Comment from 30 Sep 2026 in “Gemini 4 Argon” “It shows a good improvement on my COCO object detection benchmark: 0.504 mAP zero-shot.”
Comment from 13 Oct 2026 in “Gemini 4 Argon” - Comment from 28 Oct 2026 in “Gemini 4 Carbon”
Good spatial and visual reasoning
“Hate to say i will never be touching this model for anything except for youtube video understanding”
Comment from 30 Sep 2026 in “Gemini 4 Argon” “It shows a good improvement on my COCO object detection benchmark: 0.504 mAP zero-shot.”
Comment from 13 Oct 2026 in “Gemini 4 Argon” “argon seems to be really good at spatial reasoning, it's catching really minute details”
Comment from 13 Oct 2026 in “Gemini 4 Argon” - Comment from 13 Oct 2026 in “Gemini 4 Argon for Robotics”
Handles non-English languages well
“Gemini almost always answers accurately and very close to how helpful they are in Anglosphere related topics”
Comment from 14 Oct 2026 in “Gemini 4 Argon” “It feels like it's trained in multiple languages from the ground up rather than as an afterthought.”
Comment from 13 Oct 2026 in “Gemini 4 Argon”
What people warn about
Each mark is one comment
Very low Pro-plan usage limits
“The capacity limitations I've experienced with them in the past have been deeply problematic.”
Comment from 30 Sep 2026 in “Gemini 4 Argon” “took weeks to "come out" after their public announcement and when it finally did, paying Google AI plan users couldn't access Argon”
Comment from 28 Oct 2026 in “Gemini 4 Carbon” “4 messages on medium triggers the cooldown. The utility isn't really relevant if you're on the Pro plan.”
Comment from 29 Oct 2026 in “Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5” - Comment from 29 Oct 2026 in “Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5”
Confusing rollout and user experience
“The model is good. But... the way google handled introduction of Argon is a great reminder that your business should stay far away from their products.”
Comment from 20 Oct 2026 in “Gemini 4 Argon is now available for everyone” “Setting terrible guardrails, banchmaxxing, having 5 different approved ways of starting with models where 3 of them will be obsolete in 6m”
Comment from 1 Oct 2026 in “Gemini 4 Argon” “Can they now go hire some really good information architects and designers and come up with a cohesive user experience please.”
Comment from 1 Oct 2026 in “Gemini 4 Argon” - Comment from 16 Oct 2026 in “Gemini 4 Argon”
- Comment from 14 Oct 2026 in “Gemini 4 Argon”
Unreliable on coding, bigger tasks
“My impression is not good. Maybe it's due to first-day high user counts, but it seems to be doing worse than 3.8 flash in some coding tasks.”
Comment from 14 Oct 2026 in “Gemini 4 Argon” “Within one question of their web interface, it has lost context and asks you to clarify what you are talking about.”
Comment from 30 Sep 2026 in “Gemini 4 Argon” “I don't find Argon to be usable for any big tasks because it really does a big mess every now and then”
Comment from 24 Oct 2026 in “Kimi K3.1 Pro and K3.1 Pro Highspeed” Behind frontier rivals, benchmarks doubted
“I'd put it at B tier, just under gpt 6.1 sol. It isn't A tier like Opus 5.5 or Astra.”
Comment from 13 Oct 2026 in “Gemini 4 Argon” “It’s mildly impressive, but Google should be wiping the floor with its competition”
Comment from 13 Oct 2026 in “Gemini 4 Argon for Robotics” “Google's benchmark results are not useful at all. If you look at their methodology, they only present the model's performance at the Max reasoning levels.”
Comment from 1 Oct 2026 in “Gemini 4 Argon” - Comment from 30 Sep 2026 in “Gemini 4 Argon”
- Comment from 1 Oct 2026 in “Gemini 4 Argon”
Other language models people recommend
The four most recommended other language models, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Claude Opus | 3,331 | 2,746 | 55% | 13 | 4 mo156 owners | — |
| OpenAI GPT | 1,205 | 987 | 55% | 13 | 6 mo47 owners | — |
| Claude Sonnet | 854 | 586 | 59% | 13 | 6 mo46 owners | — |
| DeepSeek V4 Flash | 828 | 223 | 79% | 8 | 1 mo24 owners | Approved |
| Gemini 4 ArgonThis page | 168 | 179 | 48% | 3 | 1 mo4 owners | — |
What people said
40 of the 401 comments that mention it, newest first. Each links to the original comment.
“I now asked Argon for a pretty elaborate review and it used only 2% so I will be giving it another shot.”
“the limits are dreadfully low. Five messages on medium is already enough to trigger a 4 hour cooldown”
“4 messages on medium triggers the cooldown. The utility isn't really relevant if you're on the Pro plan.”
“I am having a very positive experience with Argon: since it was launched I accessed it through Ultragravity”
“it's become my daily driver for anything requiring moderate smarts or lots of prose”
“it's noticeably better than pretty much everything in my own weird game based benchmark”
“took weeks to "come out" after their public announcement and when it finally did, paying Google AI plan users couldn't access Argon”
“I don't find Argon to be usable for any big tasks because it really does a big mess every now and then”
“The model is good. But... the way google handled introduction of Argon is a great reminder that your business should stay far away from their products.”
“For Argon, it's natural language writing and everything that hooks up to Google, e.g. search and maps-based itinerary planning.”
“it's a joke of an implementation. You have to manually approve each tool use each and every time with no way to "Always allow"”
“My impression is not good. Maybe it's due to first-day high user counts, but it seems to be doing worse than 3.8 flash in some coding tasks.”
“this sort of technology opens up a universe of bespoke micro-explainers and apps that meet you exactly where you are”
“Gemini almost always answers accurately and very close to how helpful they are in Anglosphere related topics”
“experiment with a fairly open platform that may play, as a category, a pivotable role in humanity”
“Outside of that, behavior is quite good, a bit slow, and definitely different than both GPTs and Claudes”
“this is the first time I get something that, while still needing some tweaks, basically looks like the patch sheet”
“But you don’t create a broken or confusing experience for the people who haven’t been added to the rollout group yet.”
“argon seems to be really good at spatial reasoning, it's catching really minute details”
“This is my new favorite general-purpose/non-coding model. It's surprising how good this thing is”
“It’s mildly impressive, but Google should be wiping the floor with its competition”
“It shows a good improvement on my COCO object detection benchmark: 0.504 mAP zero-shot.”
“Argon 4 takes a lot of precautions to avoid crashing against walls and other objects”
“asked it to rewrite for natural reading and clarity, and got the current README. I'm impressed!”
“It feels like it's trained in multiple languages from the ground up rather than as an afterthought.”
“Considering Opus 5.5 only gets a 4% on the test compared to Gemini’s 20%, that’s actually pretty incredible.”
“I'd put it at B tier, just under gpt 6.1 sol. It isn't A tier like Opus 5.5 or Astra.”
“The language appears much more natural and elegant than what even Opus 5.5 or Astra do.”
“Google's benchmark results are not useful at all. If you look at their methodology, they only present the model's performance at the Max reasoning levels.”
“Setting terrible guardrails, banchmaxxing, having 5 different approved ways of starting with models where 3 of them will be obsolete in 6m”
“You have the established company with tons of traininv resources at tgeir disposal from all their services”
“Can they now go hire some really good information architects and designers and come up with a cohesive user experience please.”
“This release is behind the most recent models so no leapfrogging here more like catching up (barely)”
“its outcome is usually better than mine and the cost to verify the outcome is significantly cheaper than doing the task by myself”
“The capacity limitations I've experienced with them in the past have been deeply problematic.”
“Hopefully, Argon isn't as prone to satisficing and premature convergence compared to its predecessor”
“nothing about this announcement gives me confidence that google is back on track as a model provider”
“The ~200% improvement over the next nearest competitor on Harvey's Legal Benchmark is astounding.”
“Within one question of their web interface, it has lost context and asks you to clarify what you are talking about.”
“Hate to say i will never be touching this model for anything except for youtube video understanding”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.