Models

Release date

Models

Compare Model

Gemini 3.1 Pro Preview (02/26)

Release Date: 2/19/2026

Benchmarked by Vals Logo

Accuracy (Vals Index)

65.42% ± 1.95

Latency (Vals Index)

248.30s

Cost/Test (Vals Index)

$0.52

Context Window

1M

Max Output Tokens

66k

Input Modality

Hyperparameter settings

Default Provider : Google

Temperature

1

Top P

Default

Top K

Default

Max Output Tokens

65,536

Reasoning Effort

high

Benchmarks

Accuracy

Rankings

0.0%

± 1.95

3/ 34

0.0%

± 1.95

3/ 34

Vals Multimodal Index

0.0%

± 1.51

2/ 25

0.0%

± 1.51

2/ 25

0.0%

± 1.24

9/ 41

0.0%

± 1.24

9/ 41

0.0%

± 0.94

13/ 92

0.0%

± 0.94

13/ 92

Finance Agent (v1.1)

0.0%

± 2.80

3/ 40

0.0%

± 2.80

3/ 40

0.0%

± 2.00

1/ 47

0.0%

± 2.00

1/ 47

0.0%

± 1.92

28/ 47

0.0%

± 1.92

28/ 47

0.0%

± 0.91

1/ 66

0.0%

± 0.91

1/ 66

0.0%

± 4.41

5/ 22

0.0%

± 4.41

5/ 22

0.0%

± 3.29

8/ 46

0.0%

± 3.29

8/ 46

0.0%

± 0.86

29/ 100

0.0%

± 0.86

29/ 100

Vibe Code Bench

0.0%

± 4.34

9/ 22

0.0%

± 4.34

9/ 22

0.0%

± 0.34

1/ 92

0.0%

± 0.34

1/ 92

0.0%

± 1.05

1/ 95

0.0%

± 1.05

1/ 95

0.0%

± 0.93

1/ 101

0.0%

± 0.93

1/ 101

0.0%

± 0.33

1/ 113

0.0%

± 0.33

1/ 113

0.0%

± 0.17

3/ 95

0.0%

± 0.17

3/ 95

0.0%

± 0.28

1/ 93

0.0%

± 0.28

1/ 93

0.0%

± 0.78

1/ 63

0.0%

± 0.78

1/ 63

0.0%

± 1.83

1/ 37

0.0%

± 1.83

1/ 37

Terminal-Bench 2.0

0.0%

± 5.00

1/ 46

0.0%

± 5.00

1/ 46

Academic Benchmarks

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