Compare Models
Select models (max 5)
DeepSeek V4.1 FlashGLM 5.3
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 51.32%±1.13 | 53.51%±1.30 |
| Legal Research BenchAgentic US legal research | 41.35%±3.42 | 49.04%±3.48 |
| Finance Agent (v2)Core financial analyst tasks | 53.48%±0.39 | 55.84%±2.07 |
| Tax Agent BenchAgentic US corporate tax research | 62.46%±3.15 | 73.09%±2.97 |
| MedCodeMedical billing code support | 41.17%±2.04 | 42.86%±2.11 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 0.00%±0.00 | 5.71%±2.79 |
| Code MigrationRewriting programs in new languages | 45.62%±4.29 | 44.22%±4.29 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 19.70%±1.75 | 38.89%±1.82 |
| Vibe Code Bench v1.1Building web apps from scratch | 84.74%±2.89 | 78.13%±3.94 |
Benchmarks
Vals Index *
DeepSeek V4.1 Flash
0.00%± 1.13
(43/43)GLM 5.3
0.00%± 1.30
(43/43)Legal Research Bench *
DeepSeek V4.1 Flash
0.00%± 3.42
(73/73)GLM 5.3
0.00%± 3.48
(73/73)Finance Agent (v2) *
DeepSeek V4.1 Flash
0.00%± 0.39
(74/74)GLM 5.3
0.00%± 2.07
(74/74)Tax Agent Bench *
DeepSeek V4.1 Flash
0.00%± 3.15
(65/65)GLM 5.3
0.00%± 2.97
(65/65)MedCode *
DeepSeek V4.1 Flash
0.00%± 2.04
(104/104)GLM 5.3
0.00%± 2.11
(104/104)Terminal-Bench Science
DeepSeek V4.1 Flash
0.00%± 0.00
(38/38)GLM 5.3
0.00%± 2.79
(38/38)Code Migration *
DeepSeek V4.1 Flash
0.00%± 4.29
(73/73)GLM 5.3
0.00%± 4.29
(73/73)Terminal-Bench 4.0
DeepSeek V4.1 Flash
0.00%± 1.75
(43/43)GLM 5.3
0.00%± 1.82
(43/43)Vibe Code Bench v1.1 *
DeepSeek V4.1 Flash
0.00%± 2.89
(108/108)GLM 5.3
0.00%± 3.94
(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
43.76%
vs.47.40%
Finance
57.72%
vs.64.41%
Healthcare
63.34%
vs.65.84%
Math
54.00%
vs.49.00%
Science
29.65%
vs.14.34%
Academic
N/A
vs.87.45%
Education
47.88%
vs.N/A
Coding
39.57%
vs.52.74%
Cyber
37.23%
vs.72.08%
Social Mobility
64.28%
vs.68.54%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$0.332
$7.249
Cost / TestVals Index
$0.332
vs.$7.249
Input Cost/ 1M Tokens
$0.30
vs.$1.40
Input Cache Read/ 1M Tokens
$0.006
vs.$0.26
Output Cost/ 1M Tokens
$1.20
vs.$4.40
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | DeepSeek | zAI |
| Latency | 1673.17s | 4392.77s |
| Cost (In/Out) | $0.3 / $1.2 | $1.4 / $4.4 |
| Context Window | 1M | 1M |
| Max Output Token | 384k | 128k |
| Input Modality |