Compare Models
Select models (max 5)
Grok 4.6MiMo V2.6 Flash
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 52.09%±1.15 | 53.23%±1.10 |
| Legal Research BenchAgentic US legal research | 48.08%±3.47 | 37.98%±3.37 |
| Finance Agent (v2)Core financial analyst tasks | 53.68%±0.67 | 56.28%±0.46 |
| Tax Agent BenchAgentic US corporate tax research | 70.79%±3.00 | 59.90%±3.13 |
| MedCodeMedical billing code support | 44.71%±2.26 | 41.06%±2.03 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 11.43%±3.83 | 4.29%±2.44 |
| Code MigrationRewriting programs in new languages | 44.57%±4.48 | 40.93%±4.35 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 17.17%±1.34 | 24.24%±1.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 76.24%±3.82 | 78.96%±4.04 |
Benchmarks
Vals Index *
Grok 4.6
0.00%± 1.15
(43/43)MiMo V2.6 Flash
0.00%± 1.10
(43/43)Legal Research Bench *
Grok 4.6
0.00%± 3.47
(73/73)MiMo V2.6 Flash
0.00%± 3.37
(73/73)Finance Agent (v2) *
Grok 4.6
0.00%± 0.67
(74/74)MiMo V2.6 Flash
0.00%± 0.46
(74/74)Tax Agent Bench *
Grok 4.6
0.00%± 3.00
(65/65)MiMo V2.6 Flash
0.00%± 3.13
(65/65)MedCode *
Grok 4.6
0.00%± 2.26
(104/104)MiMo V2.6 Flash
0.00%± 2.03
(104/104)Terminal-Bench Science
Grok 4.6
0.00%± 3.83
(38/38)MiMo V2.6 Flash
0.00%± 2.44
(38/38)Code Migration *
Grok 4.6
0.00%± 4.48
(73/73)MiMo V2.6 Flash
0.00%± 4.35
(73/73)Terminal-Bench 4.0
Grok 4.6
0.00%± 1.34
(43/43)MiMo V2.6 Flash
0.00%± 1.51
(43/43)Vibe Code Bench v1.1 *
Grok 4.6
0.00%± 3.82
(108/108)MiMo V2.6 Flash
0.00%± 4.04
(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
50.07%
vs.24.62%
Finance
64.50%
vs.60.55%
Healthcare
65.62%
vs.63.17%
Math
51.00%
vs.63.00%
Science
38.09%
vs.31.72%
Academic
92.05%
vs.N/A
Education
28.90%
vs.43.53%
Coding
48.99%
vs.38.46%
Cyber
67.68%
vs.39.78%
Social Mobility
66.85%
vs.67.59%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$4.493
$0.202
Cost / TestVals Index
$4.493
vs.$0.202
Input Cost/ 1M Tokens
$2.00
vs.$0.14
Input Cache Read/ 1M Tokens
$0.50
vs.$0.003
Output Cost/ 1M Tokens
$6.00
vs.$0.28
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | SpaceXAI | Xiaomi |
| Latency | 2221.07s | 3481.73s |
| Cost (In/Out) | $2 / $6 | $0.14 / $0.28 |
| Context Window | 500k | 1M |
| Max Output Token | 500k | 128k |
| Input Modality |