Compare Models
Select models (max 5)
Qwen 3.6 PlusGPT 5.4 Mini
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 33.17%±1.28 |
| Legal Research BenchAgentic US legal research | 14.90%±2.48 | 12.50%±2.30 |
| Finance Agent (v2)Core financial analyst tasks | 40.85%±0.13 | 45.36%±0.45 |
| Tax Agent BenchAgentic US corporate tax research | 32.84%±2.75 | 36.59%±3.10 |
| MedCodeMedical billing code support | 36.89%±2.02 | N/A |
| Code MigrationRewriting programs in new languages | 11.10%±1.31 | 12.94%±3.64 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 2.52%±1.01 |
| Vibe Code Bench v1.1Building web apps from scratch | 25.57%±3.91 | 47.97%±5.61 |
Benchmarks
Vals Index *
Qwen 3.6 Plus
N/AGPT 5.4 Mini
0.00%± 1.28
(43/43)Legal Research Bench *
Qwen 3.6 Plus
0.00%± 2.48
(73/73)GPT 5.4 Mini
0.00%± 2.30
(73/73)Finance Agent (v2) *
Qwen 3.6 Plus
0.00%± 0.13
(74/74)GPT 5.4 Mini
0.00%± 0.45
(74/74)Tax Agent Bench *
Qwen 3.6 Plus
0.00%± 2.75
(65/65)GPT 5.4 Mini
0.00%± 3.10
(65/65)MedCode *
Qwen 3.6 Plus
0.00%± 2.02
(104/104)GPT 5.4 Mini
N/ACode Migration *
Qwen 3.6 Plus
0.00%± 1.31
(73/73)GPT 5.4 Mini
0.00%± 3.64
(73/73)Terminal-Bench 4.0
Qwen 3.6 Plus
N/AGPT 5.4 Mini
0.00%± 1.01
(43/43)Vibe Code Bench v1.1 *
Qwen 3.6 Plus
0.00%± 3.91
(108/108)GPT 5.4 Mini
0.00%± 5.61
(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%
vs.6.25%
Finance
49.85%
vs.52.42%
Healthcare
56.93%
vs.N/A
Academic
86.40%
vs.82.29%
Education
44.86%
vs.50.81%
Coding
39.20%
vs.36.32%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$1.452
Cost / TestVals Index
N/A
vs.$1.452
Input Cost/ 1M Tokens
$0.50
vs.$0.75
Input Cache Write/ 1M Tokens
$0.625
vs.N/A
Input Cache Read/ 1M Tokens
$0.05
vs.$0.075
Output Cost/ 1M Tokens
$3.00
vs.$4.50
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Alibaba | OpenAI |
| Latency | N/A | 1788.54s |
| Cost (In/Out) | $0.5 / $3 | $0.75 / $4.5 |
| Context Window | 984k | 400k |
| Max Output Token | 66k | 128k |
| Input Modality |