readable AI benchmarks (simplified)

readable AI benchmarks

Google

Gemini 4 Argon (High)

reasoning · closed weights · Sep 30, 2026

Gemini 4 Argon (High) has a Quality Score of 76.0, ranking 9th among 566 scored models. Per 1M tokens, pricing is $2.00 input, $10.00 output, $0.100 cached input, and $2.00 cache write. It has a 1M token context window. Its Reliability Score is 71.2, ranking 9th among 569 scored models, above average (total average: 36.3). Its Value Score is 50.8, high compared with the total Value average of 31.3.

Quality Score76.0coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score50.8
Factual reliability71.2
Cache Discount95%

Model specification

Reasoning
reasoning
Input modalities
none
Output modalities
none
Context window
1M tokens
Weights
closed weights

Token prices USD per 1M tokens

Input
$2.00
Output
$10.00
Cached Input
$0.100
Cache write
$2.00
Cost per task
$1.99

Capability

Intelligence
52.6
Coding
not available
Agentic
not available
Omniscience
42.4
Correct
49.9%
Blended price
$1.47

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 57.5%

Correct 49.9%Incorrect 7.6%Partial / not attempted 42.5%

Artificial Analysis benchmarks

GDPval-AA v2
56%
SciCode
62%
Humanity’s Last Exam
57%
CritPt
27%
AA-Omniscience
71%
AA-LCR
80%

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