Compare Models
Select models (max 7)
Ling 3.0 FlashMistral Large 4
| Vals IndexGDP-weighted benchmark | N/A | 56.53%±1.26 |
| Legal Research BenchAgentic US legal research | 0.00%±0.00 | 35.58%±3.33 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 61.72%±2.05 |
| Tax Agent BenchAgentic US corporate tax research | N/A | 30.67%±3.30 |
| MedCodeMedical billing code support | 32.27%±1.91 | N/A |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 26.26%±5.13 |
| Vibe Code Bench v1.1Building web apps from scratch | 2.91%±2.07 | 81.56%±3.29 |
Benchmarks
Vals Index *
Ling 3.0 Flash
N/AMistral Large 4
0.00%± 1.26
(32/32)Legal Research Bench *
Ling 3.0 Flash
0.00%± 0.00
(89/89)Mistral Large 4
0.00%± 3.33
(89/89)Finance Agent v2.1 *
Ling 3.0 Flash
N/AMistral Large 4
0.00%± 2.05
(35/35)Tax Agent Bench *
Ling 3.0 Flash
N/AMistral Large 4
0.00%± 3.30
(80/80)MedCode *
Ling 3.0 Flash
0.00%± 1.91
(107/107)Mistral Large 4
N/ATerminal-Bench 4.0
Ling 3.0 Flash
N/AMistral Large 4
0.00%± 5.13
(59/59)Vibe Code Bench v1.1 *
Ling 3.0 Flash
0.00%± 2.07
(123/123)Mistral Large 4
0.00%± 3.29
(123/123)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, legal, and tax
Comparison by Industry
Model performance on different sections of the economy.
Legal
39.84%
vs.25.70%
Finance
70.65%
vs.53.69%
Healthcare
56.59%
vs.N/A
Academic
83.43%
vs.N/A
Coding
45.01%
vs.53.91%
Social Mobility
50.74%
vs.N/A
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$3.717
Cost / TestVals Index
N/A
vs.$3.717
Input Cost/ 1M Tokens
$0.075
vs.$0.70
Input Cache Read/ 1M Tokens
$0.015
vs.$0.07
Output Cost/ 1M Tokens
$0.22
vs.$2.10
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | N/A | 2868.04s |
| Cost (In/Out) | $0.075 / $0.22 | $0.7 / $2.1 |
| Context Window | 262k | 1M |
| Max Output Token | 131k | 256k |
| Input Modality |