Compare Models
Select models (max 5)
Qwen 3.7 MaxGemini 3.1 Pro Preview (02/26)
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 33.44%±1.13 |
| Legal Research BenchAgentic US legal research | 25.48%±3.03 | 20.67%±2.81 |
| Finance Agent (v2)Core financial analyst tasks | 47.78%±0.73 | 42.98%±1.21 |
| Tax Agent BenchAgentic US corporate tax research | 47.41%±3.24 | 37.84%±3.10 |
| MedCodeMedical billing code support | 38.75%±2.20 | 59.06%±2.00 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | N/A | 1.43%±1.43 |
| Code MigrationRewriting programs in new languages | 13.07%±2.86 | 17.31%±3.93 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 2.52%±0.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 47.67%±4.63 | 32.03%±4.34 |
Benchmarks
Vals Index *
Qwen 3.7 Max
N/AGemini 3.1 Pro Preview (02/26)
0.00%± 1.13
(43/43)Legal Research Bench *
Qwen 3.7 Max
0.00%± 3.03
(73/73)Gemini 3.1 Pro Preview (02/26)
0.00%± 2.81
(73/73)Finance Agent (v2) *
Qwen 3.7 Max
0.00%± 0.73
(74/74)Gemini 3.1 Pro Preview (02/26)
0.00%± 1.21
(74/74)Tax Agent Bench *
Qwen 3.7 Max
0.00%± 3.24
(65/65)Gemini 3.1 Pro Preview (02/26)
0.00%± 3.10
(65/65)MedCode *
Qwen 3.7 Max
0.00%± 2.20
(104/104)Gemini 3.1 Pro Preview (02/26)
0.00%± 2.00
(104/104)Terminal-Bench Science
Qwen 3.7 Max
N/AGemini 3.1 Pro Preview (02/26)
0.00%± 1.43
(38/38)Code Migration *
Qwen 3.7 Max
0.00%± 2.86
(73/73)Gemini 3.1 Pro Preview (02/26)
0.00%± 3.93
(73/73)Terminal-Bench 4.0
Qwen 3.7 Max
N/AGemini 3.1 Pro Preview (02/26)
0.00%± 0.51
(43/43)Vibe Code Bench v1.1 *
Qwen 3.7 Max
0.00%± 4.63
(108/108)Gemini 3.1 Pro Preview (02/26)
0.00%± 4.34
(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
37.35%
vs.36.02%
Finance
56.88%
vs.55.14%
Healthcare
59.07%
vs.67.59%
Math
N/A
vs.26.00%
Science
N/A
vs.27.38%
Academic
89.73%
vs.91.55%
Education
N/A
vs.48.68%
Coding
54.15%
vs.34.71%
Social Mobility
N/A
vs.53.79%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$2.18
Cost / TestVals Index
N/A
vs.$2.18
Input Cost/ 1M Tokens
$2.50
vs.$2.00
Input Cache Write/ 1M Tokens
$3.125
vs.N/A
Input Cache Read/ 1M Tokens
$0.25
vs.$0.20
Output Cost/ 1M Tokens
$7.50
vs.$12.00
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Alibaba | Google |
| Latency | N/A | 591.99s |
| Cost (In/Out) | $2.5 / $7.5 | $2 / $12 |
| Context Window | 984k | 1M |
| Max Output Token | 66k | 66k |
| Input Modality |