Compare Models
Select models (max 5)
GPT 5.1 CodexClaude Haiku 5.5
 |  |  |
|---|---|---|
| Vals IndexGDP-weighted benchmark | N/A | 54.31%±1.41 |
| Legal Research BenchAgentic US legal research | N/A | 43.27%±3.44 |
| Finance Agent (v2)Core financial analyst tasks | N/A | 54.14%±2.13 |
| Tax Agent BenchAgentic US corporate tax research | N/A | 31.92%±3.35 |
| MedCodeMedical billing code support | N/A | 51.54%±2.17 |
| Terminal-Bench ScienceExpert-authored scientific research workflows | N/A | 10.00%±3.61 |
| Code MigrationRewriting programs in new languages | N/A | 44.57%±4.23 |
| Terminal-Bench 4.0Frontier-difficulty terminal tasks | N/A | 35.35%±2.20 |
| Vibe Code Bench v1.1Building web apps from scratch | 13.12%±3.16 | 90.44%±1.73 |
Benchmarks
Vals Index *
GPT 5.1 Codex
N/AClaude Haiku 5.5
0.00%± 1.41
(45/45)Legal Research Bench *
GPT 5.1 Codex
N/AClaude Haiku 5.5
0.00%± 3.44
(75/75)Finance Agent (v2) *
GPT 5.1 Codex
N/AClaude Haiku 5.5
0.00%± 2.13
(76/76)Tax Agent Bench *
GPT 5.1 Codex
N/AClaude Haiku 5.5
0.00%± 3.35
(67/67)MedCode *
GPT 5.1 Codex
N/AClaude Haiku 5.5
0.00%± 2.17
(106/106)Terminal-Bench Science
GPT 5.1 Codex
N/AClaude Haiku 5.5
0.00%± 3.61
(39/39)Code Migration *
GPT 5.1 Codex
N/AClaude Haiku 5.5
0.00%± 4.23
(75/75)Terminal-Bench 4.0
GPT 5.1 Codex
N/AClaude Haiku 5.5
0.00%± 2.20
(45/45)Vibe Code Bench v1.1 *
GPT 5.1 Codex
0.00%± 3.16
(110/110)Claude Haiku 5.5
0.00%± 1.73
(110/110)Overall performance
Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law
•2026-10-07
Comparison by Industry
Model performance on different sections of the economy.
Legal
N/A
vs.22.26%
Finance
N/A
vs.48.36%
Healthcare
N/A
vs.70.54%
Math
N/A
vs.86.00%
Science
N/A
vs.38.50%
Education
N/A
vs.45.78%
Coding
49.33%
vs.40.09%
Cyber
N/A
vs.40.60%
Social Mobility
N/A
vs.63.19%
Cost Analysis
Per task and per token model pricing.
Vals Index · USD
N/A
$2.991
Cost / TestVals Index
N/A
vs.$2.991
Input Cost/ 1M Tokens
$1.25
vs.$0.10
Input Cache Write/ 1M Tokens
N/A
vs.$0.125
Input Cache Read/ 1M Tokens
$0.125
vs.$0.01
Output Cost/ 1M Tokens
$10.00
vs.$0.50
Model Metadata
Basic information about each model.
| | |
|---|---|---|
| Model provider | OpenAI | Anthropic |
| Latency | N/A | 2836.53s |
| Cost (In/Out) | $1.25 / $10 | $0.1 / $0.5 |
| Context Window | 400k | 1M |
| Max Output Token | 128k | 128k |
| Input Modality |