Compare Models
Select models (max 5)
GPT-5.6 TerraMiMo V2.6 Flash
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | 53.09%±1.29 | 53.23%±1.10 |
| Legal Research BenchAgentic US legal research | 41.35%±3.42 | 37.98%±3.37 |
| Finance Agent (v2)Core financial analyst tasks | 54.44%±2.07 | 56.28%±0.46 |
| Tax Agent BenchAgentic US corporate tax research | 65.20%±3.19 | 59.90%±3.13 |
| MedCodeMedical billing code support | 43.41%±2.17 | 41.06%±2.03 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | 10.00%±3.61 | 4.29%±2.44 |
| Code MigrationRewriting programs in new languages | 47.80%±4.28 | 40.93%±4.35 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 22.73%±2.31 | 24.24%±1.51 |
| Vibe Code Bench v1.1Building web apps from scratch | 74.59%±4.20 | 78.96%±4.04 |
Benchmarks
Vals Index *
GPT-5.6 Terra
0.00%± 1.29
(43/43)MiMo V2.6 Flash
0.00%± 1.10
(43/43)Legal Research Bench *
GPT-5.6 Terra
0.00%± 3.42
(73/73)MiMo V2.6 Flash
0.00%± 3.37
(73/73)Finance Agent (v2) *
GPT-5.6 Terra
0.00%± 2.07
(74/74)MiMo V2.6 Flash
0.00%± 0.46
(74/74)Tax Agent Bench *
GPT-5.6 Terra
0.00%± 3.19
(65/65)MiMo V2.6 Flash
0.00%± 3.13
(65/65)MedCode *
GPT-5.6 Terra
0.00%± 2.17
(104/104)MiMo V2.6 Flash
0.00%± 2.03
(104/104)Terminal-Bench Science
GPT-5.6 Terra
0.00%± 3.61
(38/38)MiMo V2.6 Flash
0.00%± 2.44
(38/38)Code Migration *
GPT-5.6 Terra
0.00%± 4.28
(73/73)MiMo V2.6 Flash
0.00%± 4.35
(73/73)Terminal-Bench 4.0
GPT-5.6 Terra
0.00%± 2.31
(43/43)MiMo V2.6 Flash
0.00%± 1.51
(43/43)Vibe Code Bench v1.1 *
GPT-5.6 Terra
0.00%± 4.20
(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
42.43%
vs.24.62%
Finance
65.87%
vs.60.55%
Healthcare
63.14%
vs.63.17%
Math
74.00%
vs.63.00%
Science
10.00%
vs.31.72%
Academic
88.01%
vs.N/A
Education
47.00%
vs.43.53%
Coding
54.25%
vs.38.46%
Cyber
72.08%
vs.39.78%
Social Mobility
62.38%
vs.67.59%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$5.776
$0.202
Cost / TestVals Index
$5.776
vs.$0.202
Input Cost/ 1M Tokens
$2.00
vs.$0.14
Input Cache Write/ 1M Tokens
$2.50
vs.N/A
Input Cache Read/ 1M Tokens
$0.20
vs.$0.003
Output Cost/ 1M Tokens
$12.00
vs.$0.28
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | Xiaomi |
| Latency | 2138.85s | 3481.73s |
| Cost (In/Out) | $2 / $12 | $0.14 / $0.28 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |