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Gemma 4 26B A4B

ReasoningOpen weightsHugging Face
Intelligence
16.7
Rank 286 of 744 measured models
Coding
39.3
Rank 157 of 298 measured models
Output speed
65.6 t/s
Rank 260 of 403 measured models
Price/1M
$0.175
Rank 145 of 659 measured models
Context window
256K
Rank 518 of 1199 measured models

Gemma 4 26B A4B (Reasoning) scores 16.7 on the Artificial Analysis Intelligence Index, ranking 286th of 744 measured models. The closest models on this index are o4 Mini (batch) (16.7), Claude 4 Opus (16.6), and Ring-2.6-1T (16.6). At $0.175 per million tokens (3:1 input/output blended price), it is cheaper than o4 Mini (batch) ($0.963), Claude 4 Opus ($30), and Ring-2.6-1T ($0.85). With an output speed of 65.6 t/s, it is slower than Ring-2.6-1T (114 t/s).

Artificial Analysis Indices
Reasoning
Intelligence16.7
Rank 286 of 744 measured models
Coding39.3
Rank 157 of 298 measured models
Agentic2.9
Rank 137 of 189 measured models
Reasoning levels
Each point is a reasoning level of this model: more reasoning often raises the score but costs more. Select a point to open that level.
Intelligence Indexmost efficient ↗Price / 1M tokens
Capability indexes
Performance in specific industries, measured by Artificial Analysis
Economics18.9
Rank 186 of 225 measured models
Standard Benchmarks
GPQA Diamond79.2%
Rank 213 of 619 measured models
HLE19.3%
Rank 226 of 664 measured models
SciCode40.0%
Rank 173 of 231 measured models
IFBench72.4%
Rank 49 of 450 measured models
AA-LCR65.7%
Rank 250 of 575 measured models
TerminalBench Hard13.6%
Rank 214 of 432 measured models
Terminal-Bench 2.139.0%
Rank 147 of 244 measured models
τ²-Bench43.6%
Rank 227 of 440 measured models
Models at a similar level
The closest models on the Intelligence Index, one configuration per family.

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