Compare Models
Select models (max 5)
GPT 5.5MiMo V2.6 Pro
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 55.20%±1.18 |
| Legal Research BenchAgentic US legal research | 40.38%±3.41 | 47.12%±3.47 |
| Finance Agent (v2)Core financial analyst tasks | 51.76%±0.55 | 57.34%±0.57 |
| Tax Agent BenchAgentic US corporate tax research | 60.46%±3.22 | 64.94%±3.21 |
| MedCodeMedical billing code support | 49.10%±2.19 | 44.97%±2.10 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | N/A | 2.86%±2.01 |
| Code MigrationRewriting programs in new languages | 45.16%±4.16 | 43.01%±4.32 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 31.31%±3.07 |
| Vibe Code Bench v1.1Building web apps from scratch | 69.85%±4.54 | 85.22%±3.39 |
Benchmarks
Vals Index *
GPT 5.5
N/AMiMo V2.6 Pro
0.00%± 1.18
(43/43)Legal Research Bench *
GPT 5.5
0.00%± 3.41
(73/73)MiMo V2.6 Pro
0.00%± 3.47
(73/73)Finance Agent (v2) *
GPT 5.5
0.00%± 0.55
(74/74)MiMo V2.6 Pro
0.00%± 0.57
(74/74)Tax Agent Bench *
GPT 5.5
0.00%± 3.22
(65/65)MiMo V2.6 Pro
0.00%± 3.21
(65/65)MedCode *
GPT 5.5
0.00%± 2.19
(104/104)MiMo V2.6 Pro
0.00%± 2.10
(104/104)Terminal-Bench Science
GPT 5.5
N/AMiMo V2.6 Pro
0.00%± 2.01
(38/38)Code Migration *
GPT 5.5
0.00%± 4.16
(73/73)MiMo V2.6 Pro
0.00%± 4.32
(73/73)Terminal-Bench 4.0
GPT 5.5
N/AMiMo V2.6 Pro
0.00%± 3.07
(43/43)Vibe Code Bench v1.1 *
GPT 5.5
0.00%± 4.54
(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
43.55%
vs.28.97%
Finance
64.10%
vs.61.71%
Healthcare
67.98%
vs.66.64%
Math
N/A
vs.70.00%
Science
N/A
vs.9.09%
Academic
89.86%
vs.N/A
Education
51.53%
vs.45.05%
Coding
57.60%
vs.39.88%
Cyber
3.82%
vs.37.95%
Social Mobility
60.89%
vs.68.94%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$0.41
Cost / TestVals Index
N/A
vs.$0.41
Input Cost/ 1M Tokens
$5.00
vs.$0.435
Input Cache Read/ 1M Tokens
$0.50
vs.$0.004
Output Cost/ 1M Tokens
$30.00
vs.$0.87
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | Xiaomi |
| Latency | N/A | 4038.37s |
| Cost (In/Out) | $5 / $30 | $0.435 / $0.87 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |