Compare Models

Select models (max 5)
Gemini 3.1 Pro Preview (02/26)Inkling
Benchmarks

Vals Index *

Gemini 3.1 Pro Preview (02/26)
0.00%± 1.13
(43/43)
Inkling
0.00%± 1.10
(43/43)

Legal Research Bench *

Gemini 3.1 Pro Preview (02/26)
0.00%± 2.81
(73/73)
Inkling
0.00%± 3.13
(73/73)

Finance Agent (v2) *

Gemini 3.1 Pro Preview (02/26)
0.00%± 1.21
(74/74)
Inkling
0.00%± 0.93
(74/74)

Tax Agent Bench *

Gemini 3.1 Pro Preview (02/26)
0.00%± 3.10
(65/65)
Inkling
0.00%± 2.95
(65/65)

MedCode *

Gemini 3.1 Pro Preview (02/26)
0.00%± 2.00
(104/104)
Inkling
0.00%± 2.23
(104/104)

Terminal-Bench Science

Gemini 3.1 Pro Preview (02/26)
0.00%± 1.43
(38/38)
Inkling
N/A

Code Migration *

Gemini 3.1 Pro Preview (02/26)
0.00%± 3.93
(73/73)
Inkling
0.00%± 3.40
(73/73)

Terminal-Bench 4.0

Gemini 3.1 Pro Preview (02/26)
0.00%± 0.51
(43/43)
Inkling
0.00%± 0.51
(43/43)

Vibe Code Bench v1.1 *

Gemini 3.1 Pro Preview (02/26)
0.00%± 4.34
(108/108)
Inkling
0.00%± 3.66
(108/108)

Overall performance

Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law

2026-10-02

Comparison by Industry

Model performance on different sections of the economy.

Legal
36.02%
37.80%
Finance
55.14%
53.55%
Healthcare
67.59%
63.30%
Math
26.00%
0.00%
Science
27.38%
N/A
Academic
91.55%
83.97%
Education
48.68%
36.55%
Coding
34.71%
27.00%
Cyber
N/A
66.79%
Social Mobility
53.79%
58.46%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
$2.18
$1.464
Cost / TestVals Index
$2.18
$1.464
Input Cost/ 1M Tokens
$2.00
$1.00
Input Cache Read/ 1M Tokens
$0.20
$0.17
Output Cost/ 1M Tokens
$12.00
$4.05

Model Metadata

Basic information about each model.

Model provider
GoogleGoogle
Thinking MachinesThinking Machines
Latency591.99s1205.92s
Cost (In/Out)$2 / $12$1 / $4.05
Context Window1M256k
Max Output Token66k256k
Input Modality