Compare Models
Select models (max 5)
Claude Opus 4.8MiMo V2.6 Pro
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 55.10%±1.01 | 55.20%±1.18 |
| Legal Research BenchAgentic US legal research | 43.75%±3.45 | 47.12%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | 53.92%±0.16 | 57.34%±0.57 |
| Tax Agent BenchAgentic US corporate tax research | 64.91%±3.17 | 64.94%±3.21 |
| MedCodeMedical billing code support | 53.22%±2.17 | 44.97%±2.10 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 4.29%±2.44 | 2.86%±2.01 |
| Code MigrationRewriting programs in new languages | 47.25%±4.18 | 43.01%±4.32 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 23.23%±1.34 | 31.31%±3.07 |
| Vibe Code Bench v1.1Building web apps from scratch | 82.72%±3.08 | 85.22%±3.39 |
Benchmarks
Vals Index *
Claude Opus 4.8
0.00%± 1.01
(43/43)MiMo V2.6 Pro
0.00%± 1.18
(43/43)Legal Research Bench *
Claude Opus 4.8
0.00%± 3.45
(73/73)MiMo V2.6 Pro
0.00%± 3.47
(73/73)Finance Agent (v2) *
Claude Opus 4.8
0.00%± 0.16
(74/74)MiMo V2.6 Pro
0.00%± 0.57
(74/74)Tax Agent Bench *
Claude Opus 4.8
0.00%± 3.17
(65/65)MiMo V2.6 Pro
0.00%± 3.21
(65/65)MedCode *
Claude Opus 4.8
0.00%± 2.17
(104/104)MiMo V2.6 Pro
0.00%± 2.10
(104/104)Terminal-Bench Science
Claude Opus 4.8
0.00%± 2.44
(38/38)MiMo V2.6 Pro
0.00%± 2.01
(38/38)Code Migration *
Claude Opus 4.8
0.00%± 4.18
(73/73)MiMo V2.6 Pro
0.00%± 4.32
(73/73)Terminal-Bench 4.0
Claude Opus 4.8
0.00%± 1.34
(43/43)MiMo V2.6 Pro
0.00%± 3.07
(43/43)Vibe Code Bench v1.1 *
Claude Opus 4.8
0.00%± 3.08
(108/108)MiMo V2.6 Pro
0.00%± 3.39
(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
45.63%
vs.28.97%
Finance
66.75%
vs.61.71%
Healthcare
69.49%
vs.66.64%
Math
N/A
vs.70.00%
Science
4.29%
vs.9.09%
Academic
89.53%
vs.N/A
Education
54.79%
vs.45.05%
Coding
55.69%
vs.39.88%
Cyber
N/A
vs.37.95%
Social Mobility
68.13%
vs.68.94%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$13.14
$0.41
Cost / TestVals Index
$13.14
vs.$0.41
Input Cost/ 1M Tokens
$5.00
vs.$0.435
Input Cache Write/ 1M Tokens
$6.25
vs.N/A
Input Cache Read/ 1M Tokens
$0.50
vs.$0.004
Output Cost/ 1M Tokens
$25.00
vs.$0.87
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Anthropic | Xiaomi |
| Latency | 2388.43s | 4038.37s |
| Cost (In/Out) | $5 / $25 | $0.435 / $0.87 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |