Compare Models
Select models (max 5)
GPT 5.5GLM 5.3
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 53.51%±1.30 |
| Legal Research BenchAgentic US legal research | 40.38%±3.41 | 49.04%±3.48 |
| Finance Agent (v2)Core financial analyst tasks | 51.76%±0.55 | 55.84%±2.07 |
| Tax Agent BenchAgentic US corporate tax research | 60.46%±3.22 | 73.09%±2.97 |
| MedCodeMedical billing code support | 49.10%±2.19 | 42.86%±2.11 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | N/A | 5.71%±2.79 |
| Code MigrationRewriting programs in new languages | 45.16%±4.16 | 44.22%±4.29 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 38.89%±1.82 |
| Vibe Code Bench v1.1Building web apps from scratch | 69.85%±4.54 | 78.13%±3.94 |
Benchmarks
Vals Index *
GPT 5.5
N/AGLM 5.3
0.00%± 1.30
(43/43)Legal Research Bench *
GPT 5.5
0.00%± 3.41
(73/73)GLM 5.3
0.00%± 3.48
(73/73)Finance Agent (v2) *
GPT 5.5
0.00%± 0.55
(74/74)GLM 5.3
0.00%± 2.07
(74/74)Tax Agent Bench *
GPT 5.5
0.00%± 3.22
(65/65)GLM 5.3
0.00%± 2.97
(65/65)MedCode *
GPT 5.5
0.00%± 2.19
(104/104)GLM 5.3
0.00%± 2.11
(104/104)Terminal-Bench Science
GPT 5.5
N/AGLM 5.3
0.00%± 2.79
(38/38)Code Migration *
GPT 5.5
0.00%± 4.16
(73/73)GLM 5.3
0.00%± 4.29
(73/73)Terminal-Bench 4.0
GPT 5.5
N/AGLM 5.3
0.00%± 1.82
(43/43)Vibe Code Bench v1.1 *
GPT 5.5
0.00%± 4.54
(108/108)GLM 5.3
0.00%± 3.94
(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
43.55%
vs.47.40%
Finance
64.10%
vs.64.41%
Healthcare
67.98%
vs.65.84%
Math
N/A
vs.49.00%
Science
N/A
vs.14.34%
Academic
89.86%
vs.87.45%
Education
51.53%
vs.N/A
Coding
57.60%
vs.52.74%
Cyber
3.82%
vs.72.08%
Social Mobility
60.89%
vs.68.54%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$7.249
Cost / TestVals Index
N/A
vs.$7.249
Input Cost/ 1M Tokens
$5.00
vs.$1.40
Input Cache Read/ 1M Tokens
$0.50
vs.$0.26
Output Cost/ 1M Tokens
$30.00
vs.$4.40
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | zAI |
| Latency | N/A | 4392.77s |
| Cost (In/Out) | $5 / $30 | $1.4 / $4.4 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |