Compare Models
Select models (max 5)
DeepSeek V3 (03/24/2025)MiniMax-M3.1-Flash
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 53.78%±1.07 |
| Legal Research BenchAgentic US legal research | N/A | 34.13%±3.30 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 58.83%±2.07 |
| Tax Agent BenchAgentic US corporate tax research | N/A | 32.14%±3.34 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 25.25%±1.01 |
| Vibe Code Bench v1.1Building web apps from scratch | N/A | 73.94%±4.25 |
Benchmarks
Vals Index *
DeepSeek V3 (03/24/2025)
N/AMiniMax-M3.1-Flash
0.00%± 1.07
(23/23)Legal Research Bench *
DeepSeek V3 (03/24/2025)
N/AMiniMax-M3.1-Flash
0.00%± 3.30
(82/82)Finance Agent v2.1 *
DeepSeek V3 (03/24/2025)
N/AMiniMax-M3.1-Flash
0.00%± 2.07
(28/28)Tax Agent Bench *
DeepSeek V3 (03/24/2025)
N/AMiniMax-M3.1-Flash
0.00%± 3.34
(73/73)Terminal-Bench 4.0
DeepSeek V3 (03/24/2025)
N/AMiniMax-M3.1-Flash
0.00%± 1.01
(52/52)Vibe Code Bench v1.1 *
DeepSeek V3 (03/24/2025)
N/AMiniMax-M3.1-Flash
0.00%± 4.25
(116/116)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-19
Comparison by Industry
Model performance on different sections of the economy.
Legal
77.73%
vs.20.82%
Finance
71.10%
vs.52.94%
Academic
70.55%
vs.N/A
Coding
65.48%
vs.49.60%
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
$0.90
vs.$0.15
Input Cache Read/ 1M Tokens
N/A
vs.$0.015
Output Cost/ 1M Tokens
$0.90
vs.$0.60
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | Fireworks | MiniMax |
| Latency | N/A | 2597.84s |
| Cost (In/Out) | $0.9 / $0.9 | $0.15 / $0.6 |
| Context Window | 131k | 1M |
| Max Output Token | 131k | 524k |
| Input Modality |