Compare Models
Select models (max 7)
GPT-6 SolMiMo V2.6 Pro
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 57.81%±1.24 |
| Legal Research BenchAgentic US legal research | 28.85%±3.15 | 47.12%±3.47 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 64.26%±2.02 |
| Tax Agent BenchAgentic US corporate tax research | 15.00%±2.58 | 32.39%±3.36 |
| MedCodeMedical billing code support | 47.07%±2.12 | 44.97%±2.10 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 30.00%±5.52 | 2.86%±2.01 |
| Code Migration v1.1Rewriting programs in new languages | N/A | 48.79%±3.88 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 44.44%±3.54 | 31.31%±3.07 |
| Vibe Code Bench v1.1Building web apps from scratch | 87.82%±2.53 | 85.22%±3.39 |
Benchmarks
Vals Index *
GPT-6 Sol
N/AMiMo V2.6 Pro
0.00%± 1.24
(26/26)Legal Research Bench *
GPT-6 Sol
0.00%± 3.15
(84/84)MiMo V2.6 Pro
0.00%± 3.47
(84/84)Finance Agent v2.1 *
GPT-6 Sol
N/AMiMo V2.6 Pro
0.00%± 2.02
(30/30)Tax Agent Bench *
GPT-6 Sol
0.00%± 2.58
(75/75)MiMo V2.6 Pro
0.00%± 3.36
(75/75)MedCode *
GPT-6 Sol
0.00%± 2.12
(107/107)MiMo V2.6 Pro
0.00%± 2.10
(107/107)Terminal-Bench-Science
GPT-6 Sol
0.00%± 5.52
(42/42)MiMo V2.6 Pro
0.00%± 2.01
(42/42)Code Migration v1.1 *
GPT-6 Sol
N/AMiMo V2.6 Pro
0.00%± 3.88
(28/28)Terminal-Bench 4.0
GPT-6 Sol
0.00%± 3.54
(54/54)MiMo V2.6 Pro
0.00%± 3.07
(54/54)Vibe Code Bench v1.1 *
GPT-6 Sol
0.00%± 2.53
(118/118)MiMo V2.6 Pro
0.00%± 3.39
(118/118)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-22
Comparison by Industry
Model performance on different sections of the economy.
Legal
28.85%
vs.30.43%
Finance
15.00%
vs.54.66%
Healthcare
64.55%
vs.66.64%
Math
83.00%
vs.70.00%
Science
45.00%
vs.9.09%
Education
44.79%
vs.45.05%
Coding
54.22%
vs.41.07%
Cyber
54.25%
vs.37.95%
Social Mobility
56.63%
vs.68.94%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$0.435
Cost / TestVals Index
N/A
vs.$0.435
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
$10.00
vs.$0.87
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | Xiaomi |
| Latency | N/A | 4355.89s |
| Cost (In/Out) | $2 / $10 | $0.435 / $0.87 |
| Context Window | 1M | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |