Compare Models
Select models (max 5)
Claude Sonnet 4.6GLM 5.2
 |  |  |
|---|---|---|
| Legal Research BenchAgentic US legal research | 38.46%±3.38 | 31.25%±3.22 |
| Finance Agent (v2)Core financial analyst tasks | 51.03%±0.33 | 49.70%±0.88 |
| Tax Agent BenchAgentic US corporate tax research | 64.85%±3.11 | N/A |
| MedCodeMedical billing code support | N/A | 40.77%±2.17 |
| Code MigrationRewriting programs in new languages | 39.89%±4.14 | 37.87%±4.14 |
| Vibe Code Bench v1.1Building web apps from scratch | 51.48%±4.64 | 63.96%±4.79 |
Benchmarks
Legal Research Bench *
Claude Sonnet 4.6
0.00%± 3.38
(73/73)GLM 5.2
0.00%± 3.22
(73/73)Finance Agent (v2) *
Claude Sonnet 4.6
0.00%± 0.33
(74/74)GLM 5.2
0.00%± 0.88
(74/74)Tax Agent Bench *
Claude Sonnet 4.6
0.00%± 3.11
(65/65)GLM 5.2
N/AMedCode *
Claude Sonnet 4.6
N/AGLM 5.2
0.00%± 2.17
(104/104)Code Migration *
Claude Sonnet 4.6
0.00%± 4.14
(73/73)GLM 5.2
0.00%± 4.14
(73/73)Vibe Code Bench v1.1 *
Claude Sonnet 4.6
0.00%± 4.64
(108/108)GLM 5.2
0.00%± 4.79
(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
41.86%
vs.40.80%
Finance
64.17%
vs.61.52%
Healthcare
N/A
vs.62.15%
Academic
85.51%
vs.86.16%
Education
46.58%
vs.N/A
Coding
50.07%
vs.49.95%
Cyber
N/A
vs.0.00%
Social Mobility
62.45%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
N/A
Cost / TestVals Index
N/A
vs.N/A
Input Cost/ 1M Tokens
$3.00
vs.$1.40
Input Cache Write/ 1M Tokens
$3.75
vs.N/A
Input Cache Read/ 1M Tokens
$0.30
vs.$0.26
Output Cost/ 1M Tokens
$15.00
vs.$4.40
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Anthropic | zAI |
| Latency | N/A | N/A |
| Cost (In/Out) | $3 / $15 | $1.4 / $4.4 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 131k |
| Input Modality |