Compare Models
Select models (max 5)
DeepSeek V4GLM 5.3 Flash
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 38.63%±1.16 | N/A |
| Legal Research BenchAgentic US legal research | 23.08%±2.93 | 45.19%±3.46 |
| Finance Agent (v2)Core financial analyst tasks | 44.08%±0.65 | 57.85%±2.06 |
| Tax Agent BenchAgentic US corporate tax research | 58.50%±3.13 | 61.96%±3.26 |
| MedCodeMedical billing code support | 40.45%±2.12 | N/A |
| Terminal-Bench ScienceExpert-authored scientific research workflows | N/A | 2.86%±2.01 |
| Code MigrationRewriting programs in new languages | 26.20%±4.04 | 20.52%±4.21 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 11.11%±1.34 | N/A |
| Vibe Code Bench v1.1Building web apps from scratch | 49.93%±4.77 | 30.76%±5.28 |
Benchmarks
Vals Index *
DeepSeek V4
0.00%± 1.16
(43/43)GLM 5.3 Flash
N/ALegal Research Bench *
DeepSeek V4
0.00%± 2.93
(73/73)GLM 5.3 Flash
0.00%± 3.46
(73/73)Finance Agent (v2) *
DeepSeek V4
0.00%± 0.65
(74/74)GLM 5.3 Flash
0.00%± 2.06
(74/74)Tax Agent Bench *
DeepSeek V4
0.00%± 3.13
(65/65)GLM 5.3 Flash
0.00%± 3.26
(65/65)MedCode *
DeepSeek V4
0.00%± 2.12
(104/104)GLM 5.3 Flash
N/ATerminal-Bench Science
DeepSeek V4
N/AGLM 5.3 Flash
0.00%± 2.01
(38/38)Code Migration *
DeepSeek V4
0.00%± 4.04
(73/73)GLM 5.3 Flash
0.00%± 4.21
(73/73)Terminal-Bench 4.0
DeepSeek V4
0.00%± 1.34
(43/43)GLM 5.3 Flash
N/AVibe Code Bench v1.1 *
DeepSeek V4
0.00%± 4.77
(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
•2026-10-02
Comparison by Industry
Model performance on different sections of the economy.
Legal
35.72%
vs.45.26%
Finance
56.57%
vs.62.83%
Healthcare
57.80%
vs.88.94%
Math
16.00%
vs.21.00%
Science
N/A
vs.2.86%
Academic
88.32%
vs.86.14%
Coding
43.34%
vs.41.56%
Cyber
N/A
vs.67.86%
Social Mobility
62.92%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$1.306
N/A
Cost / TestVals Index
$1.306
vs.N/A
Input Cost/ 1M Tokens
$1.32
vs.$0.075
Input Cache Read/ 1M Tokens
$0.044
vs.$0.015
Output Cost/ 1M Tokens
$3.96
vs.$0.25
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | DeepSeek | zAI |
| Latency | 1928.91s | N/A |
| Cost (In/Out) | $1.32 / $3.96 | $0.075 / $0.25 |
| Context Window | 1M | 1M |
| Max Output Token | 384k | 128k |
| Input Modality |