readable AI benchmarks (simplified)

readable AI benchmarks

Gemini 4 Carbon (Medium) has a Quality Score of 65.5, ranking 3rd among 229 scored models. Per 1M tokens, pricing is $4.00 input, $20.00 output, $0.200 cached input, and $4.00 cache write. It has a 1M token context window. Its Reliability Score is 73.4, ranking 3rd among 238 scored models, above average (total average: 46.2). Its Value Score is 40.3, high compared with the total Value average of 28.2.

Quality Score65.5coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available

Value Score40.3

Factual reliability73.4

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: $4.00
Output: $20.00
Cached Input: $0.200
Cache write: $4.00
Cost per task: $6.59

Capability

Intelligence: 57.7
Omniscience (native net): 46.8
Correct: 48.9%
Blended price: $2.94

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 51.1%

Correct 48.9%Incorrect 2.2%Partial / not attempted 48.9%

Artificial Analysis benchmarks aa-v5

Current Intelligence Index components

AA-Briefcase v1.1: 1601.7 Elo
AutomationBench-AA: 77.6%
GDP.pdf: 29.6%
FrontierCode v2.0: 39.5%
Terminal-Bench v4.0: 60.6%
AA-Omniscience v1.1: 46.8 native net
HLE-Diamond: 67.4%
CritPt v2 Hard: 63.5%
Terminal-Bench-Science v0.1.0: 62.4%

Similar models

Graph Open on Artificial Analysis