Compare Models
Select models (max 5)
Claude Sonnet 4.6GLM 5.3 Flash
| Legal Research BenchAgentic US legal research | 38.46%±3.38 | 45.19%±3.46 |
| Finance Agent (v2)Core financial analyst tasks | 51.03%±0.33 | 57.85%±2.06 |
| Tax Agent BenchAgentic US corporate tax research | 64.85%±3.11 | 61.96%±3.26 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | N/A | 2.86%±2.01 |
| Code MigrationRewriting programs in new languages | 39.89%±4.14 | 20.52%±4.21 |
| Vibe Code Bench v1.1Building web apps from scratch | 51.48%±4.64 | 30.76%±5.28 |
Benchmarks
Legal Research Bench *
Claude Sonnet 4.6
0.00%± 3.38
(73/73)GLM 5.3 Flash
0.00%± 3.46
(73/73)Finance Agent (v2) *
Claude Sonnet 4.6
0.00%± 0.33
(74/74)GLM 5.3 Flash
0.00%± 2.06
(74/74)Tax Agent Bench *
Claude Sonnet 4.6
0.00%± 3.11
(65/65)GLM 5.3 Flash
0.00%± 3.26
(65/65)Terminal-Bench Science
Claude Sonnet 4.6
N/AGLM 5.3 Flash
0.00%± 2.01
(38/38)Code Migration *
Claude Sonnet 4.6
0.00%± 4.14
(73/73)GLM 5.3 Flash
0.00%± 4.21
(73/73)Vibe Code Bench v1.1 *
Claude Sonnet 4.6
0.00%± 4.64
(108/108)GLM 5.3 Flash
0.00%± 5.28
(108/108)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
Comparison by Industry
Model performance on different sections of the economy.
Legal
41.86%
vs.45.26%
Finance
64.17%
vs.62.83%
Healthcare
N/A
vs.88.94%
Math
N/A
vs.21.00%
Science
N/A
vs.2.86%
Academic
85.51%
vs.86.14%
Education
46.58%
vs.N/A
Coding
50.07%
vs.41.56%
Cyber
N/A
vs.67.86%
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.$0.075
Input Cache Write/ 1M Tokens
$3.75
vs.N/A
Input Cache Read/ 1M Tokens
$0.30
vs.$0.015
Output Cost/ 1M Tokens
$15.00
vs.$0.25
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | N/A | N/A |
| Cost (In/Out) | $3 / $15 | $0.075 / $0.25 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |