Compare Models
Select models (max 7)
GPT 5.4 MiniMistral Large 4 OSS
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 56.53%±1.26 |
| Legal Research BenchAgentic US legal research | 12.50%±2.30 | 35.58%±3.33 |
| Finance Agent v2.1Core financial analyst tasks | N/A | 61.72%±2.05 |
| Tax Agent BenchAgentic US corporate tax research | 8.81%±2.04 | 30.67%±3.30 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 2.52%±1.01 | 26.26%±5.13 |
| Vibe Code Bench v1.1Building web apps from scratch | 47.97%±5.61 | 81.56%±3.29 |
Benchmarks
Vals Index *
GPT 5.4 Mini
N/AMistral Large 4 OSS
0.00%± 1.26
(32/32)Legal Research Bench *
GPT 5.4 Mini
0.00%± 2.30
(89/89)Mistral Large 4 OSS
0.00%± 3.33
(89/89)Finance Agent v2.1 *
GPT 5.4 Mini
N/AMistral Large 4 OSS
0.00%± 2.05
(35/35)Tax Agent Bench *
GPT 5.4 Mini
0.00%± 2.04
(80/80)Mistral Large 4 OSS
0.00%± 3.30
(80/80)Terminal-Bench 4.0
GPT 5.4 Mini
0.00%± 1.01
(59/59)Mistral Large 4 OSS
0.00%± 5.13
(59/59)Vibe Code Bench v1.1 *
GPT 5.4 Mini
0.00%± 5.61
(123/123)Mistral Large 4 OSS
0.00%± 3.29
(123/123)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-30
Comparison by Industry
Model performance on different sections of the economy.
Legal
12.50%
vs.25.70%
Finance
47.85%
vs.53.69%
Academic
82.29%
vs.N/A
Coding
40.99%
vs.53.91%
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
$0.75
vs.$0.70
Input Cache Read/ 1M Tokens
$0.075
vs.$0.07
Output Cost/ 1M Tokens
$4.50
vs.$2.10
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | Mistral AI |
| Latency | N/A | 2868.04s |
| Cost (In/Out) | $0.75 / $4.5 | $0.7 / $2.1 |
| Context Window | 400k | 1M |
| Max Output Token | 128k | 256k |
| Input Modality |