Compare Models

Select models (max 5)
Qwen 3.7 PlusGemini 3.5 Flash Lite
Benchmarks

Legal Research Bench *

Qwen 3.7 Plus
0.00%± 2.57
(73/73)
Gemini 3.5 Flash Lite
0.00%± 2.41
(73/73)

Finance Agent (v2) *

Qwen 3.7 Plus
0.00%± 1.04
(74/74)
Gemini 3.5 Flash Lite
0.00%± 0.51
(74/74)

Tax Agent Bench *

Qwen 3.7 Plus
0.00%± 2.81
(65/65)
Gemini 3.5 Flash Lite
0.00%± 3.12
(65/65)

MedCode *

Qwen 3.7 Plus
N/A
Gemini 3.5 Flash Lite
0.00%± 1.95
(104/104)

Code Migration *

Qwen 3.7 Plus
0.00%± 2.93
(73/73)
Gemini 3.5 Flash Lite
0.00%± 1.71
(73/73)

Vibe Code Bench v1.1 *

Qwen 3.7 Plus
0.00%± 4.61
(108/108)
Gemini 3.5 Flash Lite
0.00%± 4.63
(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%
32.67%
Finance
48.11%
53.88%
Healthcare
N/A
57.19%
Academic
N/A
84.42%
Education
39.25%
47.30%
Coding
37.85%
39.46%
Cyber
N/A
59.11%
Social Mobility
N/A
51.83%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
N/A
N/A
Cost / TestVals Index
N/A
N/A
Input Cost/ 1M Tokens
$0.40
$0.30
Input Cache Write/ 1M Tokens
$0.50
N/A
Input Cache Read/ 1M Tokens
$0.04
$0.03
Output Cost/ 1M Tokens
$1.60
$2.50

Model Metadata

Basic information about each model.

Model provider
AlibabaAlibaba
GoogleGoogle
LatencyN/AN/A
Cost (In/Out)$0.4 / $1.6$0.3 / $2.5
Context Window1M1M
Max Output Token66k66k
Input Modality