Compare Models
Select models (max 5)
DeepSeek V4 Flash 0731GLM 5.2
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 47.96%±1.24 | N/A |
| Legal Research BenchAgentic US legal research | 30.29%±3.19 | 31.25%±3.22 |
| Finance Agent (v2)Core financial analyst tasks | 49.52%±0.47 | 49.70%±0.88 |
| Tax Agent BenchAgentic US corporate tax research | 62.56%±3.14 | N/A |
| MedCodeMedical billing code support | 41.41%±2.15 | 40.77%±2.17 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 4.29%±2.44 | N/A |
| Code MigrationRewriting programs in new languages | 38.63%±4.38 | 37.87%±4.14 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 18.69%±3.54 | N/A |
| Vibe Code Bench v1.1Building web apps from scratch | 74.74%±3.44 | 63.96%±4.79 |
Benchmarks
Vals Index *
DeepSeek V4 Flash 0731
0.00%± 1.24
(43/43)GLM 5.2
N/ALegal Research Bench *
DeepSeek V4 Flash 0731
0.00%± 3.19
(73/73)GLM 5.2
0.00%± 3.22
(73/73)Finance Agent (v2) *
DeepSeek V4 Flash 0731
0.00%± 0.47
(74/74)GLM 5.2
0.00%± 0.88
(74/74)Tax Agent Bench *
DeepSeek V4 Flash 0731
0.00%± 3.14
(65/65)GLM 5.2
N/AMedCode *
DeepSeek V4 Flash 0731
0.00%± 2.15
(104/104)GLM 5.2
0.00%± 2.17
(104/104)Terminal-Bench Science
DeepSeek V4 Flash 0731
0.00%± 2.44
(38/38)GLM 5.2
N/ACode Migration *
DeepSeek V4 Flash 0731
0.00%± 4.38
(73/73)GLM 5.2
0.00%± 4.14
(73/73)Terminal-Bench 4.0
DeepSeek V4 Flash 0731
0.00%± 3.54
(43/43)GLM 5.2
N/AVibe Code Bench v1.1 *
DeepSeek V4 Flash 0731
0.00%± 3.44
(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
38.78%
vs.40.80%
Finance
59.94%
vs.61.52%
Healthcare
60.89%
vs.62.15%
Math
56.00%
vs.N/A
Science
34.37%
vs.N/A
Academic
88.05%
vs.86.16%
Coding
48.94%
vs.49.95%
Cyber
72.08%
vs.0.00%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$0.848
N/A
Cost / TestVals Index
$0.848
vs.N/A
Input Cost/ 1M Tokens
$0.44
vs.$1.40
Input Cache Read/ 1M Tokens
$0.014
vs.$0.26
Output Cost/ 1M Tokens
$1.32
vs.$4.40
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | DeepSeek | zAI |
| Latency | 2585.58s | N/A |
| Cost (In/Out) | $0.44 / $1.32 | $1.4 / $4.4 |
| Context Window | 1M | 1M |
| Max Output Token | 384k | 131k |
| Input Modality |