Model decision surface
Compare AI models
Start with MiniMax M1 80k and GPT-4 Turbo, 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
MiniMax M1 80k vs GPT-4 Turbo
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | MiniMax M1 80k MiniMaxAI | GPT-4 Turbo OpenAI |
|---|---|---|
| ModelCap position | #171 | #173 |
| Index score | 22.0 | 20.9 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured3 public benchmark observations across 3 boards |
| Input / 1M | Unavailable | $10.00 |
| Output / 1M | Unavailable | $30.00 |
| Pricing status | unavailable | fresh |
| Context | 1M | 128K |
| Providers | 0 | 1 |
| Weight access | Open weights | API only |
Decision facts
- MiniMax M1 80k is #171; GPT-4 Turbo is #173 on the same current language board.
- Index scores are 22.0 for MiniMax M1 80k and 20.9 for GPT-4 Turbo.
- Both positions use Measured evidence.
- Published context is 1,000,000 tokens for MiniMax M1 80k and 128,000 for GPT-4 Turbo.
- Weight access differs: MiniMax M1 80k is open; GPT-4 Turbo is none.
- ModelCap currently lists 0 providers for MiniMax M1 80k and 1 for GPT-4 Turbo.
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.