Compare Models
Select models (max 7)
Claude Haiku 5.5Grok 4.6
| Vals IndexGDP-weighted benchmark | 58.71%±1.28 | N/A |
| Legal Research BenchAgentic US legal research | 43.27%±3.44 | 48.08%±3.47 |
| Finance Agent v2.1Core financial analyst tasks | 65.37%±2.06 | N/A |
| Tax Agent BenchAgentic US corporate tax research | 31.92%±3.35 | 33.14%±3.40 |
| MedCodeMedical billing code support | 51.54%±2.17 | 44.71%±2.26 |
| Terminal-Bench-ScienceExpert-authored scientific research workflows | 10.00%±3.61 | 11.43%±3.83 |
| Code Migration v1.1Rewriting programs in new languages | 52.36%±3.49 | N/A |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | 36.36%±2.31 | 17.17%±1.34 |
| Vibe Code Bench v1.1Building web apps from scratch | 90.44%±1.73 | 76.24%±3.82 |
Benchmarks
Vals Index *
Claude Haiku 5.5
0.00%± 1.28
(26/26)Grok 4.6
N/ALegal Research Bench *
Claude Haiku 5.5
0.00%± 3.44
(84/84)Grok 4.6
0.00%± 3.47
(84/84)Finance Agent v2.1 *
Claude Haiku 5.5
0.00%± 2.06
(30/30)Grok 4.6
N/ATax Agent Bench *
Claude Haiku 5.5
0.00%± 3.35
(75/75)Grok 4.6
0.00%± 3.40
(75/75)MedCode *
Claude Haiku 5.5
0.00%± 2.17
(107/107)Grok 4.6
0.00%± 2.26
(107/107)Terminal-Bench-Science
Claude Haiku 5.5
0.00%± 3.61
(42/42)Grok 4.6
0.00%± 3.83
(42/42)Code Migration v1.1 *
Claude Haiku 5.5
0.00%± 3.49
(28/28)Grok 4.6
N/ATerminal-Bench 4.0
Claude Haiku 5.5
0.00%± 2.31
(54/54)Grok 4.6
0.00%± 1.34
(54/54)Vibe Code Bench v1.1 *
Claude Haiku 5.5
0.00%± 1.73
(118/118)Grok 4.6
0.00%± 3.82
(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
23.72%
vs.67.19%
Finance
65.69%
vs.56.14%
Healthcare
70.54%
vs.65.62%
Math
89.00%
vs.51.00%
Science
38.50%
vs.38.09%
Academic
N/A
vs.92.05%
Education
45.78%
vs.28.90%
Coding
41.90%
vs.49.55%
Cyber
40.60%
vs.67.68%
Social Mobility
63.19%
vs.66.85%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
$3.173
N/A
Cost / TestVals Index
$3.173
vs.N/A
Input Cost/ 1M Tokens
$0.10
vs.$2.00
Input Cache Write/ 1M Tokens
$0.125
vs.N/A
Input Cache Read/ 1M Tokens
$0.01
vs.$0.50
Output Cost/ 1M Tokens
$0.50
vs.$6.00
Model Metadata
Basic information about each model.
| Model provider | ||
| Latency | 2988.33s | N/A |
| Cost (In/Out) | $0.1 / $0.5 | $2 / $6 |
| Context Window | 1M | 500k |
| Max Output Token | 128k | 500k |
| Input Modality |