Compare Models

Select models (max 5)
Qwen 3.6 PlusGemini 3.5 Flash Lite
Benchmarks

Legal Research Bench *

Qwen 3.6 Plus
0.00%± 2.48
(73/73)
Gemini 3.5 Flash Lite
0.00%± 2.41
(73/73)

Finance Agent (v2) *

Qwen 3.6 Plus
0.00%± 0.13
(74/74)
Gemini 3.5 Flash Lite
0.00%± 0.51
(74/74)

Tax Agent Bench *

Qwen 3.6 Plus
0.00%± 2.75
(65/65)
Gemini 3.5 Flash Lite
0.00%± 3.12
(65/65)

MedCode *

Qwen 3.6 Plus
0.00%± 2.02
(104/104)
Gemini 3.5 Flash Lite
0.00%± 1.95
(104/104)

Code Migration *

Qwen 3.6 Plus
0.00%± 1.31
(73/73)
Gemini 3.5 Flash Lite
0.00%± 1.71
(73/73)

Vibe Code Bench v1.1 *

Qwen 3.6 Plus
0.00%± 3.91
(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
33.46%
32.67%
Finance
49.85%
53.88%
Healthcare
56.93%
57.19%
Academic
86.40%
84.42%
Education
44.86%
47.30%
Coding
39.20%
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
$0.50
$0.30
Input Cache Write/ 1M Tokens
$0.625
N/A
Input Cache Read/ 1M Tokens
$0.05
$0.03
Output Cost/ 1M Tokens
$3.00
$2.50

Model Metadata

Basic information about each model.

Model provider
AlibabaAlibaba
GoogleGoogle
LatencyN/AN/A
Cost (In/Out)$0.5 / $3$0.3 / $2.5
Context Window984k1M
Max Output Token66k66k
Input Modality