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GPT-6 Astra (Azure)

azure·azure/gpt-6-astra·GA·Closed·gpt-astra series·NEW
GPT-6 Astra is OpenAI's most capable model for complex reasoning, coding, computer use, research, and document creation.

GPT-6 Astra (Azure) is currently listed from a single provider. Its reference price is $10.00 per 1M input tokens and $50.00 per 1M output tokens.

The context window is 1,050,000 tokens, with an output limit of 128,000 tokens. It supports reasoning, tool use, and structured output. Accepted input modalities are Text, Image, and PDF.

Specs & pricing

Input / output per 1M tokens
Reference price·LLM Gateway
$10.00 / $50.00
Blended $20.00 · Cache read $1.00
Lowest paid·LLM GatewayGateway
$10.00 / $50.00
Blended $20.00
Context
1,050,000
Output limit
128,000
Knowledge cutoff
—
Released / updated
2026-09-04 / 2026-09-04
Capabilities
✓ Reasoning✓ Tool use✓ Structured outputTemperature✓ Attachments
Modalities
TextImagePDF

Available at 1 providers1 with public prices

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
LLM GatewayGateway$10.00$50.00$1.00$12.501,050,000128,000

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Your usage cost

1LLM Gateway$3,420.00
The cheapest paid channel is the only channel.

Reasoning control

effort = loweffort = mediumeffort = higheffort = xhigheffort = max

Related models

GPT-6 Astrasame series$10.00 / $50.00GPT-6 Astra (Fast)same series$20.00 / $100GLM-5.2cheaper alternative$1.40 / $4.40DeepSeek V4 Flashcheaper alternative$0.14 / $0.28DeepSeek V4 Procheaper alternative$0.435 / $0.87Kimi K3cheaper alternative$3.00 / $15.00

Price historyone sample accumulated per data sync

Input list $10.00Output list $50.00Min blended $20.00

Price history accumulates from each data sync; currently only 1 sample(s) (2026-09-05). Each future sync adds a point, and once accumulated a line is drawn here.

Data partly from models.dev (MIT) · LLM Gateway official docs ↗