Compare Models
Select models (max 5)
GPT-6 LunaGLM 5.3
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 51.22%±1.07 | 53.51%±1.30 |
| Legal Research BenchAgentic US legal research | 30.29%±3.19 | 49.04%±3.48 |
| Finance Agent (v2)Core financial analyst tasks | 49.87%±0.23 | 55.84%±2.07 |
| Tax Agent BenchAgentic US corporate tax research | 58.86%±3.21 | 73.09%±2.97 |
| MedCodeMedical billing code support | 44.69%±2.30 | 42.86%±2.11 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 4.29%±2.44 | 5.71%±2.79 |
| Code MigrationRewriting programs in new languages | 42.55%±4.42 | 44.22%±4.29 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 13.64%±1.51 | 38.89%±1.82 |
| Vibe Code Bench v1.1Building web apps from scratch | 81.65%±3.38 | 78.13%±3.94 |
Benchmarks
Vals Index *
GPT-6 Luna
0.00%± 1.07
(43/43)GLM 5.3
0.00%± 1.30
(43/43)Legal Research Bench *
GPT-6 Luna
0.00%± 3.19
(73/73)GLM 5.3
0.00%± 3.48
(73/73)Finance Agent (v2) *
GPT-6 Luna
0.00%± 0.23
(74/74)GLM 5.3
0.00%± 2.07
(74/74)Tax Agent Bench *
GPT-6 Luna
0.00%± 3.21
(65/65)GLM 5.3
0.00%± 2.97
(65/65)MedCode *
GPT-6 Luna
0.00%± 2.30
(104/104)GLM 5.3
0.00%± 2.11
(104/104)Terminal-Bench Science
GPT-6 Luna
0.00%± 2.44
(38/38)GLM 5.3
0.00%± 2.79
(38/38)Code Migration *
GPT-6 Luna
0.00%± 4.42
(73/73)GLM 5.3
0.00%± 4.29
(73/73)Terminal-Bench 4.0
GPT-6 Luna
0.00%± 1.51
(43/43)GLM 5.3
0.00%± 1.82
(43/43)Vibe Code Bench v1.1 *
GPT-6 Luna
0.00%± 3.38
(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
16.60%
vs.47.40%
Finance
59.08%
vs.64.41%
Healthcare
64.20%
vs.65.84%
Math
64.00%
vs.49.00%
Science
28.38%
vs.14.34%
Academic
N/A
vs.87.45%
Education
48.09%
vs.N/A
Coding
38.78%
vs.52.74%
Cyber
76.25%
vs.72.08%
Social Mobility
57.65%
vs.68.54%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$0.431
$7.249
Cost / TestVals Index
$0.431
vs.$7.249
Input Cost/ 1M Tokens
$0.10
vs.$1.40
Input Cache Write/ 1M Tokens
$0.125
vs.N/A
Input Cache Read/ 1M Tokens
$0.01
vs.$0.26
Output Cost/ 1M Tokens
$0.50
vs.$4.40
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | zAI |
| Latency | 1833.68s | 4392.77s |
| Cost (In/Out) | $0.1 / $0.5 | $1.4 / $4.4 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |