Compare Models
Select models (max 5)
Qwen 3.7 PlusGPT 5.4 Nano
 |  |  |
|---|---|---|
| Legal Research BenchAgentic US legal research | 16.35%±2.57 | 6.25%±1.68 |
| Finance Agent (v2)Core financial analyst tasks | 38.22%±1.04 | 38.22%±1.19 |
| Tax Agent BenchAgentic US corporate tax research | 38.71%±2.81 | 26.58%±2.52 |
| MedCodeMedical billing code support | N/A | 41.03%±2.26 |
| Code MigrationRewriting programs in new languages | 12.86%±2.93 | 14.47%±4.03 |
| Vibe Code Bench v1.1Building web apps from scratch | 46.39%±4.61 | 26.10%±5.08 |
Benchmarks
Legal Research Bench *
Qwen 3.7 Plus
0.00%± 2.57
(73/73)GPT 5.4 Nano
0.00%± 1.68
(73/73)Finance Agent (v2) *
Qwen 3.7 Plus
0.00%± 1.04
(74/74)GPT 5.4 Nano
0.00%± 1.19
(74/74)Tax Agent Bench *
Qwen 3.7 Plus
0.00%± 2.81
(65/65)GPT 5.4 Nano
0.00%± 2.52
(65/65)MedCode *
Qwen 3.7 Plus
N/AGPT 5.4 Nano
0.00%± 2.26
(104/104)Code Migration *
Qwen 3.7 Plus
0.00%± 2.93
(73/73)GPT 5.4 Nano
0.00%± 4.03
(73/73)Vibe Code Bench v1.1 *
Qwen 3.7 Plus
0.00%± 4.61
(108/108)GPT 5.4 Nano
0.00%± 5.08
(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%
vs.28.06%
Finance
48.11%
vs.47.21%
Healthcare
N/A
vs.59.06%
Academic
N/A
vs.76.09%
Education
39.25%
vs.38.08%
Coding
37.85%
vs.48.59%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
N/A
Cost / TestVals Index
N/A
vs.N/A
Input Cost/ 1M Tokens
$0.40
vs.$0.20
Input Cache Write/ 1M Tokens
$0.50
vs.N/A
Input Cache Read/ 1M Tokens
$0.04
vs.$0.02
Output Cost/ 1M Tokens
$1.60
vs.$1.25
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Alibaba | OpenAI |
| Latency | N/A | N/A |
| Cost (In/Out) | $0.4 / $1.6 | $0.2 / $1.25 |
| Context Window | 1M | 400k |
| Max Output Token | 66k | 128k |
| Input Modality |