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GPT-5.4 mini versus GPT-6 Astra on price, context, and capabilities. Both are in the GPT group. Costs use a shared reference workload. Prices from Models.dev. Data last refreshed Oct 14, 2026, 05:43 PM UTC.

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GPT · canonical pair

GPT-5.4 minivsGPT-6 Astra

Alphabetical by model id, so this URL is the one to index. GPT-5.4 mini is openai/gpt-5.4-mini. GPT-6 Astra is openai/gpt-6-astra. Both are among the models the most providers list, inside the GPT group.

vs

100 requests a day, 2,000 input tokens and 500 output tokens, no cache hits. A light chat workload so the rate cards are comparable.
SpecGPT-5.4 miniGPT-6 Astra
Monthly, reference workload$11.25$135
Input / 1M$0.75$10.00
Output / 1M$4.50$50.00
Cache read / 1M$0.075$1.00
Cache write / 1M—$12.50
Context400,0001,050,000
Max output128,000128,000
ReasoningYesYes
Tool callsYesYes
VisionYesYes
Open weightsNoNo
Providers3232
Released2026-03-172026-09-04

Same workload, your numbers

Prices are USD per 1M tokens. A month is 30 days. Cache hits use the cache-read rate when the model has one; otherwise the cache field is ignored.

GPT-6 Astra costs $124 more per month than GPT-5.4 mini at these inputs.

monthly = requests/day × 30 × (input tokens × (1 − cache hit) × input price + input tokens × cache hit × cache-read price + output tokens × output price) ÷ 1,000,000