Compare Models
Select models (max 7)
Gemini 3.8 FlashGLM 5.3
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 55.95%±1.14 | 59.73%±1.11 |
| Legal Research BenchAgentic US legal research | 38.94%±3.39 | 49.04%±3.48 |
| Finance Agent v2.1Core financial analyst tasks | 65.76%±2.04 | 65.00%±2.01 |
| Tax Agent BenchAgentic US corporate tax research | 32.12%±3.37 | 39.70%±3.52 |
| MedCodeMedical billing code support | 48.13%±2.18 | 42.86%±2.11 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 8.57%±3.37 | 5.71%±2.79 |
| Code Migration v1.1Rewriting programs in new languages | 38.65%±3.65 | 55.07%±2.12 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 19.70%±2.31 | 38.89%±1.82 |
| Vibe Code Bench v1.1Building web apps from scratch | 78.65%±3.88 | 78.13%±3.94 |
Benchmarks
Vals Index *
Gemini 3.8 Flash
0.00%± 1.14
(26/26)GLM 5.3
0.00%± 1.11
(26/26)Legal Research Bench *
Gemini 3.8 Flash
0.00%± 3.39
(84/84)GLM 5.3
0.00%± 3.48
(84/84)Finance Agent v2.1 *
Gemini 3.8 Flash
0.00%± 2.04
(30/30)GLM 5.3
0.00%± 2.01
(30/30)Tax Agent Bench *
Gemini 3.8 Flash
0.00%± 3.37
(75/75)GLM 5.3
0.00%± 3.52
(75/75)MedCode *
Gemini 3.8 Flash
0.00%± 2.18
(107/107)GLM 5.3
0.00%± 2.11
(107/107)Terminal-Bench-Science
Gemini 3.8 Flash
0.00%± 3.37
(42/42)GLM 5.3
0.00%± 2.79
(42/42)Code Migration v1.1 *
Gemini 3.8 Flash
0.00%± 3.65
(28/28)GLM 5.3
0.00%± 2.12
(28/28)Terminal-Bench 4.0
Gemini 3.8 Flash
0.00%± 2.31
(54/54)GLM 5.3
0.00%± 1.82
(54/54)Vibe Code Bench v1.1 *
Gemini 3.8 Flash
0.00%± 3.88
(118/118)GLM 5.3
0.00%± 3.94
(118/118)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-22
Comparison by Industry
Model performance on different sections of the economy.
Legal
46.01%
vs.49.49%
Finance
62.11%
vs.61.54%
Healthcare
66.32%
vs.65.84%
Math
48.00%
vs.49.00%
Science
35.76%
vs.14.34%
Academic
91.25%
vs.87.45%
Education
35.06%
vs.N/A
Coding
48.20%
vs.53.94%
Cyber
27.41%
vs.40.62%
Social Mobility
65.29%
vs.68.54%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$6.065
$8.525
Cost / TestVals Index
$6.065
vs.$8.525
Input Cost/ 1M Tokens
$1.50
vs.$1.40
Input Cache Read/ 1M Tokens
$0.15
vs.$0.26
Output Cost/ 1M Tokens
$7.50
vs.$4.40
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Google | zAI |
| Latency | 2158.48s | 3864.09s |
| Cost (In/Out) | $1.5 / $7.5 | $1.4 / $4.4 |
| Context Window | 1M | 1M |
| Max Output Token | 66k | 128k |
| Input Modality |