Compare Models
Select models (max 5)
GPT-5.6 TerraMiMo V2.6 Pro
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 53.09%±1.29 | 55.20%±1.18 |
| Legal Research BenchAgentic US legal research | 41.35%±3.42 | 47.12%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | 54.44%±2.07 | 57.34%±0.57 |
| Tax Agent BenchAgentic US corporate tax research | 65.20%±3.19 | 64.94%±3.21 |
| MedCodeMedical billing code support | 43.41%±2.17 | 44.97%±2.10 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 10.00%±3.61 | 2.86%±2.01 |
| Code MigrationRewriting programs in new languages | 47.80%±4.28 | 43.01%±4.32 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 22.73%±2.31 | 31.31%±3.07 |
| Vibe Code Bench v1.1Building web apps from scratch | 74.59%±4.20 | 85.22%±3.39 |
Benchmarks
Vals Index *
GPT-5.6 Terra
0.00%± 1.29
(43/43)MiMo V2.6 Pro
0.00%± 1.18
(43/43)Legal Research Bench *
GPT-5.6 Terra
0.00%± 3.42
(73/73)MiMo V2.6 Pro
0.00%± 3.47
(73/73)Finance Agent (v2) *
GPT-5.6 Terra
0.00%± 2.07
(74/74)MiMo V2.6 Pro
0.00%± 0.57
(74/74)Tax Agent Bench *
GPT-5.6 Terra
0.00%± 3.19
(65/65)MiMo V2.6 Pro
0.00%± 3.21
(65/65)MedCode *
GPT-5.6 Terra
0.00%± 2.17
(104/104)MiMo V2.6 Pro
0.00%± 2.10
(104/104)Terminal-Bench Science
GPT-5.6 Terra
0.00%± 3.61
(38/38)MiMo V2.6 Pro
0.00%± 2.01
(38/38)Code Migration *
GPT-5.6 Terra
0.00%± 4.28
(73/73)MiMo V2.6 Pro
0.00%± 4.32
(73/73)Terminal-Bench 4.0
GPT-5.6 Terra
0.00%± 2.31
(43/43)MiMo V2.6 Pro
0.00%± 3.07
(43/43)Vibe Code Bench v1.1 *
GPT-5.6 Terra
0.00%± 4.20
(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
42.43%
vs.28.97%
Finance
65.87%
vs.61.71%
Healthcare
63.14%
vs.66.64%
Math
74.00%
vs.70.00%
Science
10.00%
vs.9.09%
Academic
88.01%
vs.N/A
Education
47.00%
vs.45.05%
Coding
54.25%
vs.39.88%
Cyber
72.08%
vs.37.95%
Social Mobility
62.38%
vs.68.94%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$5.776
$0.41
Cost / TestVals Index
$5.776
vs.$0.41
Input Cost/ 1M Tokens
$2.00
vs.$0.435
Input Cache Write/ 1M Tokens
$2.50
vs.N/A
Input Cache Read/ 1M Tokens
$0.20
vs.$0.004
Output Cost/ 1M Tokens
$12.00
vs.$0.87
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | Xiaomi |
| Latency | 2138.85s | 4038.37s |
| Cost (In/Out) | $2 / $12 | $0.435 / $0.87 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |