Model decision surface
Compare AI models
Start with GPT-4 Turbo and o4 Mini, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
GPT-4 Turbo vs o4 Mini
Live dataset updated 9/22/2026, 9:31:46 PM UTC
Open 1200×630 evidence receipt| Field | GPT-4 Turbo OpenAI | o4 Mini OpenAI |
|---|---|---|
| ModelCap position | #170 | #106 |
| Index score | 30.9 | 51.6 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured3 public benchmark observations across 3 boards |
| Input / 1M | $10.00 | $1.10 |
| Output / 1M | $30.00 | $4.40 |
| Pricing status | fresh | fresh |
| Context | 128K | 200K |
| Providers | 1 | 1 |
| Weight access | API only | API only |
Decision facts
- GPT-4 Turbo is #170; o4 Mini is #106 on the same current language board.
- Index scores are 30.9 for GPT-4 Turbo and 51.6 for o4 Mini. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $30.00 for GPT-4 Turbo and $4.40 for o4 Mini. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $35.00 for GPT-4 Turbo versus $4.40 for o4 Mini. o4 Mini costs 87.4% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 128,000 tokens for GPT-4 Turbo and 200,000 for o4 Mini.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.