Compare Models

Select models (max 5)
Gemini 3.5 Flash LiteInkling
Benchmarks

Vals Index *

Gemini 3.5 Flash Lite
N/A
Inkling
0.00%± 1.10
(43/43)

Legal Research Bench *

Gemini 3.5 Flash Lite
0.00%± 2.41
(73/73)
Inkling
0.00%± 3.13
(73/73)

Finance Agent (v2) *

Gemini 3.5 Flash Lite
0.00%± 0.51
(74/74)
Inkling
0.00%± 0.93
(74/74)

Tax Agent Bench *

Gemini 3.5 Flash Lite
0.00%± 3.12
(65/65)
Inkling
0.00%± 2.95
(65/65)

MedCode *

Gemini 3.5 Flash Lite
0.00%± 1.95
(104/104)
Inkling
0.00%± 2.23
(104/104)

Code Migration *

Gemini 3.5 Flash Lite
0.00%± 1.71
(73/73)
Inkling
0.00%± 3.40
(73/73)

Terminal-Bench 4.0

Gemini 3.5 Flash Lite
N/A
Inkling
0.00%± 0.51
(43/43)

Vibe Code Bench v1.1 *

Gemini 3.5 Flash Lite
0.00%± 4.63
(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
32.67%
37.80%
Finance
53.88%
53.55%
Healthcare
57.19%
63.30%
Math
N/A
0.00%
Academic
84.42%
83.97%
Education
47.30%
36.55%
Coding
39.46%
27.00%
Cyber
59.11%
66.79%
Social Mobility
51.83%
58.46%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
N/A
$1.464
Cost / TestVals Index
N/A
$1.464
Input Cost/ 1M Tokens
$0.30
$1.00
Input Cache Read/ 1M Tokens
$0.03
$0.17
Output Cost/ 1M Tokens
$2.50
$4.05

Model Metadata

Basic information about each model.

Model provider
GoogleGoogle
Thinking MachinesThinking Machines
LatencyN/A1205.92s
Cost (In/Out)$0.3 / $2.5$1 / $4.05
Context Window1M256k
Max Output Token66k256k
Input Modality