Compare Models
Select models (max 7)
Grok 4.6GLM 5.3
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 59.73%±1.11 |
| Legal Research BenchAgentic US legal research | 48.08%±3.47 | 49.04%±3.48 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 65.00%±2.01 |
| Tax Agent BenchAgentic US corporate tax research | 33.14%±3.40 | 39.70%±3.52 |
| MedCodeMedical billing code support | 44.71%±2.26 | 42.86%±2.11 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 11.43%±3.83 | 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 | 17.17%±1.34 | 38.89%±1.82 |
| Vibe Code Bench v1.1Building web apps from scratch | 76.24%±3.82 | 78.13%±3.94 |
Benchmarks
Vals Index *
Grok 4.6
N/AGLM 5.3
0.00%± 1.11
(26/26)Legal Research Bench *
Grok 4.6
0.00%± 3.47
(84/84)GLM 5.3
0.00%± 3.48
(84/84)Finance Agent v2.1 *
Grok 4.6
N/AGLM 5.3
0.00%± 2.01
(30/30)Tax Agent Bench *
Grok 4.6
0.00%± 3.40
(75/75)GLM 5.3
0.00%± 3.52
(75/75)MedCode *
Grok 4.6
0.00%± 2.26
(107/107)GLM 5.3
0.00%± 2.11
(107/107)Terminal-Bench-Science
Grok 4.6
0.00%± 3.83
(42/42)GLM 5.3
0.00%± 2.79
(42/42)Code Migration v1.1 *
Grok 4.6
N/AGLM 5.3
0.00%± 2.12
(28/28)Terminal-Bench 4.0
Grok 4.6
0.00%± 1.34
(54/54)GLM 5.3
0.00%± 1.82
(54/54)Vibe Code Bench v1.1 *
Grok 4.6
0.00%± 3.82
(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
67.19%
vs.49.49%
Finance
56.14%
vs.61.54%
Healthcare
65.62%
vs.65.84%
Math
51.00%
vs.49.00%
Science
38.09%
vs.14.34%
Academic
92.05%
vs.87.45%
Education
28.90%
vs.N/A
Coding
49.55%
vs.53.94%
Cyber
67.68%
vs.40.62%
Social Mobility
66.85%
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
$2.00
vs.$1.40
Input Cache Read/ 1M Tokens
$0.50
vs.$0.26
Output Cost/ 1M Tokens
$6.00
vs.$4.40
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | SpaceXAI | zAI |
| Latency | N/A | 3864.09s |
| Cost (In/Out) | $2 / $6 | $1.4 / $4.4 |
| Context Window | 500k | 1M |
| Max Output Token | 500k | 128k |
| Input Modality |