Compare Models
Select models (max 7)
GPT-5.6 LunaGLM 5.3
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 59.73%±1.11 |
| Legal Research BenchAgentic US legal research | 36.54%±3.35 | 49.04%±3.48 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 65.00%±2.01 |
| Tax Agent BenchAgentic US corporate tax research | 24.82%±3.11 | 39.70%±3.52 |
| MedCodeMedical billing code support | 42.39%±2.27 | 42.86%±2.11 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 0.00%±0.00 | 5.71%±2.79 |
| Code Migration v1.1Rewriting programs in new languages | N/A | 55.07%±2.12 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 11.62%±1.01 | 38.89%±1.82 |
| Vibe Code Bench v1.1Building web apps from scratch | 77.06%±3.07 | 78.13%±3.94 |
Benchmarks
Vals Index *
GPT-5.6 Luna
N/AGLM 5.3
0.00%± 1.11
(26/26)Legal Research Bench *
GPT-5.6 Luna
0.00%± 3.35
(84/84)GLM 5.3
0.00%± 3.48
(84/84)Finance Agent v2.1 *
GPT-5.6 Luna
N/AGLM 5.3
0.00%± 2.01
(30/30)Tax Agent Bench *
GPT-5.6 Luna
0.00%± 3.11
(75/75)GLM 5.3
0.00%± 3.52
(75/75)MedCode *
GPT-5.6 Luna
0.00%± 2.27
(107/107)GLM 5.3
0.00%± 2.11
(107/107)Terminal-Bench-Science
GPT-5.6 Luna
0.00%± 0.00
(42/42)GLM 5.3
0.00%± 2.79
(42/42)Code Migration v1.1 *
GPT-5.6 Luna
N/AGLM 5.3
0.00%± 2.12
(28/28)Terminal-Bench 4.0
GPT-5.6 Luna
0.00%± 1.01
(54/54)GLM 5.3
0.00%± 1.82
(54/54)Vibe Code Bench v1.1 *
GPT-5.6 Luna
0.00%± 3.07
(118/118)GLM 5.3
0.00%± 3.94
(118/118)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-22
Comparison by Industry
Model performance on different sections of the economy.
Legal
60.29%
vs.49.49%
Finance
56.09%
vs.61.54%
Healthcare
63.39%
vs.65.84%
Math
60.00%
vs.49.00%
Science
25.30%
vs.14.34%
Academic
87.58%
vs.87.45%
Education
44.22%
vs.N/A
Coding
46.64%
vs.53.94%
Cyber
37.58%
vs.40.62%
Social Mobility
61.16%
vs.68.54%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$8.525
Cost / TestVals Index
N/A
vs.$8.525
Input Cost/ 1M Tokens
$0.20
vs.$1.40
Input Cache Write/ 1M Tokens
$0.25
vs.N/A
Input Cache Read/ 1M Tokens
$0.02
vs.$0.26
Output Cost/ 1M Tokens
$1.20
vs.$4.40
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | zAI |
| Latency | N/A | 3864.09s |
| Cost (In/Out) | $0.2 / $1.2 | $1.4 / $4.4 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |