Compare Models

Select models (max 5)
Qwen 3.7 PlusInkling
Benchmarks

Vals Index *

Qwen 3.7 Plus
N/A
Inkling
0.00%± 1.10
(43/43)

Legal Research Bench *

Qwen 3.7 Plus
0.00%± 2.57
(73/73)
Inkling
0.00%± 3.13
(73/73)

Finance Agent (v2) *

Qwen 3.7 Plus
0.00%± 1.04
(74/74)
Inkling
0.00%± 0.93
(74/74)

Tax Agent Bench *

Qwen 3.7 Plus
0.00%± 2.81
(65/65)
Inkling
0.00%± 2.95
(65/65)

MedCode *

Qwen 3.7 Plus
N/A
Inkling
0.00%± 2.23
(104/104)

Code Migration *

Qwen 3.7 Plus
0.00%± 2.93
(73/73)
Inkling
0.00%± 3.40
(73/73)

Terminal-Bench 4.0

Qwen 3.7 Plus
N/A
Inkling
0.00%± 0.51
(43/43)

Vibe Code Bench v1.1 *

Qwen 3.7 Plus
0.00%± 4.61
(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
8.17%
37.80%
Finance
48.11%
53.55%
Healthcare
N/A
63.30%
Math
N/A
0.00%
Academic
N/A
83.97%
Education
39.25%
36.55%
Coding
37.85%
27.00%
Cyber
N/A
66.79%
Social Mobility
N/A
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
$0.40
$1.00
Input Cache Write/ 1M Tokens
$0.50
N/A
Input Cache Read/ 1M Tokens
$0.04
$0.17
Output Cost/ 1M Tokens
$1.60
$4.05

Model Metadata

Basic information about each model.

Model provider
AlibabaAlibaba
Thinking MachinesThinking Machines
LatencyN/A1205.92s
Cost (In/Out)$0.4 / $1.6$1 / $4.05
Context Window1M256k
Max Output Token66k256k
Input Modality