Model decision surface
Compare AI models
Start with GPT-5.4 Mini and GPT-6 Astra, 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-5.4 Mini vs GPT-6 Astra
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | GPT-5.4 Mini OpenAI | GPT-6 Astra OpenAI |
|---|---|---|
| ModelCap position | #31 | #1 |
| Index score | 66.8 | 93.7 |
| Evidence | Measured4 public benchmark observations across 4 boards | Measured4 public benchmark observations across 4 boards |
| Input / 1M | $0.75 | $10.00 |
| Output / 1M | $4.50 | $50.00 |
| Pricing status | fresh | fresh |
| Context | 400K | 1M |
| Providers | 2 | 2 |
| Weight access | API only | API only |
Decision facts
- GPT-5.4 Mini is #31; GPT-6 Astra is #1 on the same current language board.
- Index scores are 66.8 for GPT-5.4 Mini and 93.7 for GPT-6 Astra. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $4.50 for GPT-5.4 Mini and $50.00 for GPT-6 Astra. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $3.75 for GPT-5.4 Mini versus $45.00 for GPT-6 Astra. GPT-5.4 Mini costs 91.7% 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 400,000 tokens for GPT-5.4 Mini and 1,050,000 for GPT-6 Astra.
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.