Compare Models
Select models (max 7)
MiMo V2.6 ProGLM 5.3
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 57.81%±1.24 | 59.73%±1.11 |
| Legal Research BenchAgentic US legal research | 47.12%±3.47 | 49.04%±3.48 |
| Finance Agent v2.1Core financial analyst tasks | 64.26%±2.02 | 65.00%±2.01 |
| Tax Agent BenchAgentic US corporate tax research | 32.39%±3.36 | 39.70%±3.52 |
| MedCodeMedical billing code support | 44.97%±2.10 | 42.86%±2.11 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 2.86%±2.01 | 5.71%±2.79 |
| Code Migration v1.1Rewriting programs in new languages | 48.79%±3.88 | 55.07%±2.12 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 31.31%±3.07 | 38.89%±1.82 |
| Vibe Code Bench v1.1Building web apps from scratch | 85.22%±3.39 | 78.13%±3.94 |
Benchmarks
Vals Index *
MiMo V2.6 Pro
0.00%± 1.24
(26/26)GLM 5.3
0.00%± 1.11
(26/26)Legal Research Bench *
MiMo V2.6 Pro
0.00%± 3.47
(84/84)GLM 5.3
0.00%± 3.48
(84/84)Finance Agent v2.1 *
MiMo V2.6 Pro
0.00%± 2.02
(30/30)GLM 5.3
0.00%± 2.01
(30/30)Tax Agent Bench *
MiMo V2.6 Pro
0.00%± 3.36
(75/75)GLM 5.3
0.00%± 3.52
(75/75)MedCode *
MiMo V2.6 Pro
0.00%± 2.10
(107/107)GLM 5.3
0.00%± 2.11
(107/107)Terminal-Bench-Science
MiMo V2.6 Pro
0.00%± 2.01
(42/42)GLM 5.3
0.00%± 2.79
(42/42)Code Migration v1.1 *
MiMo V2.6 Pro
0.00%± 3.88
(28/28)GLM 5.3
0.00%± 2.12
(28/28)Terminal-Bench 4.0
MiMo V2.6 Pro
0.00%± 3.07
(54/54)GLM 5.3
0.00%± 1.82
(54/54)Vibe Code Bench v1.1 *
MiMo V2.6 Pro
0.00%± 3.39
(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
30.43%
vs.49.49%
Finance
54.66%
vs.61.54%
Healthcare
66.64%
vs.65.84%
Math
70.00%
vs.49.00%
Science
9.09%
vs.14.34%
Academic
N/A
vs.87.45%
Education
45.05%
vs.N/A
Coding
41.07%
vs.53.94%
Cyber
37.95%
vs.40.62%
Social Mobility
68.94%
vs.68.54%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$0.435
$8.525
Cost / TestVals Index
$0.435
vs.$8.525
Input Cost/ 1M Tokens
$0.435
vs.$1.40
Input Cache Read/ 1M Tokens
$0.004
vs.$0.26
Output Cost/ 1M Tokens
$0.87
vs.$4.40
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Xiaomi | zAI |
| Latency | 4355.89s | 3864.09s |
| Cost (In/Out) | $0.435 / $0.87 | $1.4 / $4.4 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |