Compare Models
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DeepSeek V4MiniMax-M3.1-Flash
| Vals IndexGDP-weighted benchmark | N/A | 53.78%±1.07 |
| Legal Research BenchAgentic US legal research | 23.08%±2.93 | 34.13%±3.30 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 58.83%±2.07 |
| Tax Agent BenchAgentic US corporate tax research | 25.17%±3.06 | 32.14%±3.34 |
| MedCodeMedical billing code support | 40.45%±2.12 | N/A |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 11.11%±1.34 | 25.25%±1.01 |
| Vibe Code Bench v1.1Building web apps from scratch | 49.93%±4.77 | 73.94%±4.25 |
Benchmarks
Vals Index *
DeepSeek V4
N/AMiniMax-M3.1-Flash
0.00%± 1.07
(26/26)Legal Research Bench *
DeepSeek V4
0.00%± 2.93
(84/84)MiniMax-M3.1-Flash
0.00%± 3.30
(84/84)Finance Agent v2.1 *
DeepSeek V4
N/AMiniMax-M3.1-Flash
0.00%± 2.07
(30/30)Tax Agent Bench *
DeepSeek V4
0.00%± 3.06
(75/75)MiniMax-M3.1-Flash
0.00%± 3.34
(75/75)MedCode *
DeepSeek V4
0.00%± 2.12
(107/107)MiniMax-M3.1-Flash
N/ATerminal-Bench 4.0
DeepSeek V4
0.00%± 1.34
(54/54)MiniMax-M3.1-Flash
0.00%± 1.01
(54/54)Vibe Code Bench v1.1 *
DeepSeek V4
0.00%± 4.77
(118/118)MiniMax-M3.1-Flash
0.00%± 4.25
(118/118)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
Comparison by Industry
Model performance on different sections of the economy.
Legal
51.70%
vs.20.82%
Finance
48.62%
vs.52.94%
Healthcare
57.80%
vs.N/A
Math
16.00%
vs.N/A
Academic
88.32%
vs.N/A
Coding
46.20%
vs.49.60%
Social Mobility
62.92%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$0.66
Cost / TestVals Index
N/A
vs.$0.66
Input Cost/ 1M Tokens
$1.32
vs.$0.15
Input Cache Read/ 1M Tokens
$0.044
vs.$0.015
Output Cost/ 1M Tokens
$3.96
vs.$0.60
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | N/A | 2597.84s |
| Cost (In/Out) | $1.32 / $3.96 | $0.15 / $0.6 |
| Context Window | 1M | 1M |
| Max Output Token | 384k | 524k |
| Input Modality |