An X post from @LuminaBench reports that Gemini 4 Argon received a score of 53 on the Artificial Analysis Intelligence Index. The supplied chart shows Gemini 4 Argon (high) and GPT-6 Astra (max) with the same displayed score, while a separate cost-versus-index plot places Gemini 4 Argon near the chart’s dotted Pareto line.
The post and image do not independently confirm Gemini 4 Argon’s availability, the benchmark methodology, its pricing, or how it performs in ordinary use.
What the post reports about Gemini 4 Argon
The post says Gemini 4 Argon scored 53 on the Artificial Analysis Intelligence Index and was level with GPT-6 Astra. In the image, both models have bars labelled 53 in the upper comparison chart. The post also describes Gemini 4 Argon as being “basically right on the Pareto frontier” for cost.
“Level” here refers to the displayed index score, not proof that the two models produce equivalent results on every evaluation or task. The post does not include the underlying scores, test conditions, or results needed to make that broader comparison.
The thread also includes the poster’s personal statements that they tested the model and found it strong and good to use. Those comments do not include a test setup, reproducible examples, or measured results, so they are not enough to independently assess the model’s practical performance.
What the supplied chart displays
The upper portion of the attached Artificial Analysis chart labels Gemini 4 Argon (high) with a score of 53. GPT-6 Astra (max) is also labelled 53. The same chart shows other models at different displayed index values, but the report does not provide the data behind those scores.
The chart also includes a “Not publicly available” annotation. That is a label displayed in the supplied image, not independent confirmation of Gemini 4 Argon’s release or distribution status.
The lower portion is a separate chart titled “Intelligence Index vs. Cost per Intelligence Index Task.” Its vertical axis represents the Intelligence Index, while its horizontal axis shows cost per task in US dollars on a logarithmic scale. Gemini 4 Argon (high) appears at an index value around 53 and close to the dotted Pareto line.

Image credit: @LuminaBench on X
The chart therefore presents two related but different views: the upper bars compare displayed index scores, while the lower plot relates index values to estimated cost per task. Seeing Gemini 4 Argon near the dotted line does not by itself establish an exact price, a best-in-class cost position, or a recommendation for production use.
How to read the reported cost-performance position
A Pareto line is a comparison frontier: points near it can represent more attractive trade-offs between the two plotted measures than points that are clearly worse on both. In this image, the relevant measures are the displayed Intelligence Index and cost per Intelligence Index task.
The image places Gemini 4 Argon near that dotted line, which supports the narrower observation that it appears close to the chart’s illustrated cost-performance frontier. It does not show enough information to determine the exact cost for Gemini 4 Argon or to reproduce the comparison.
The chart labels the measure as a weighted average cost in U.S. dollars per Artificial Analysis Intelligence Index task, but it does not show the underlying pricing assumptions or explain whether that estimate is based on API prices or another cost calculation.
Evaluations named in the chart
Text at the top of the image says that Artificial Analysis Intelligence Index v4.3.2 incorporates 10 evaluations. The image lists:
AA-Briefcase v1.1
GDPval-AA v2.1
AutomationBench-AA
Terminal-Bench 4.0
SciCode
Humanity’s Last Exam
GDP.pdf
CritPt
AA-Omniscience
AA-LCR v1.1
The image does not show the weighting, scoring rules, individual results, or definitions for these evaluations. As a result, the overall score of 53 cannot be unpacked into conclusions about any one capability from the image alone.
What this report does not confirm
The post and chart do not establish that Gemini 4 Argon is officially released or publicly available. No official Google announcement, product page, release information, or API documentation is supplied here.
They also do not independently verify that Gemini 4 Argon matches GPT-6 Astra beyond the two models sharing a displayed score of 53. A shared aggregate score can conceal different results across the underlying evaluations.
Finally, the material does not confirm a precise cost ranking or real-world superiority. The most supportable reading is narrower: the X post reports a score of 53, the attached chart displays Gemini 4 Argon and GPT-6 Astra at the same index value, and the lower chart places Gemini 4 Argon near its illustrated Pareto line. Further conclusions require the methodology, underlying results, pricing assumptions, and an official or reproducible account of the model.





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