ModelPriceWatch.com
Last scan 2026-10-19 Models tracked 293 Providers 40 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

GPT-6 Astra

by OpenAI

Current flagship expensive tier
Availability: Generally available on the API: OpenAI's model page lists standard rate limits for usage tiers 1 through 5, with no approval or access programme. It launched on 2026-09-03 to enterprises first through OpenAI's Trusted Access Program, and is served over v1/responses, v1/chat/completions and v1/batch.

Today's price · per 1M tokens

Input

$10.00

per 1M tokens

Output

$50.00

per 1M tokens

Blended

$20.00

blended $/1M — 3:1 weighted input:output

Cached input

$1.00

10% of input — prompt caching

How this price is scoped: OpenAI's rate card prices this model by context length: the tracked figure is the short-context tier, and prompts over 272K input tokens bill at the long-context tier of $20 input / $2 cached input / $25 cache write / $75 output per 1M tokens — 2x input and cache rates and 1.5x output, applied to the full request. Cache writes bill at 1.25x the uncached input rate. Batch and Flex are 50% of Standard; Fast mode is 2x the applicable rate, and Fast is unavailable with EU data residency.

Source: official OpenAI pricing · read MODELPRICEWATCH.COM · 2026-10-19

Price receipt

We read OpenAI's own pricing page on and found gpt-6-astra listed with a price on the same row — that read is where the number above comes from. We keep the page text we read; its content hash is d636906eb6.

Overview

OpenAI's most capable model, released 2026-09-03 and positioned above the GPT-5.6 Sol/Terra/Luna tiers for the hardest end-to-end work: complex reasoning, coding, computer use, research and document creation. 1.05M context window, 922K max input, 128K max output, text + image input, text output, April 2026 knowledge cutoff. $10/$50 per 1M tokens (cached input $1.00). Supports reasoning effort levels low through max, but not the none level, and does not accept custom temperature, top_p or logprobs. Tool calling requires the Responses API.

Capabilities

struck through = not supported
Input 2/4
Text ✓ Image ✓ Audio Video
Output
Text ✓
Features 4/9
Prompt caching ✓ Reasoning ✓ Coding Fast inference Long context ✓ Open weights Multimodal ✓ Web search Realtime

Benchmark performance

accuracy % · higher is better
Avg benchmark score84.9%
Perf per $/Mtok4.2
GPQA Diamond
96%
BrowseComp
91.5%
Humanity's Last Exam
57.2%
ARC-AGI 2
95%
AutoBench *
41.4%
Independent composite scores
  • AA Intelligence Index: 52.7 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 43.4 (−100–100)
  • GDPval-AA v2: 1572.8 ELO (Real-world work tasks, human baseline = 1000)
  • LMSYS Chatbot Arena: 1477.3 ELO (Human preference)
How it stacks up
  • Ranks #5 of 101 benchmarked models by average score
  • Ranks #6 of 195 comparably-measured models by percentile score, across 8 independent measurements
  • Ranks #186 of 195 comparably-tested models by normalized performance per dollar
  • Strongest at ARC-AGI 2 — 95%, #1 of 44

Source: Vellum LLM Leaderboard · updated · See full rankings →

Specifications

Provider
OpenAI
Context window
1M tokens
Modality
text, image
Parameters
Proprietary
Open source
No — proprietary
Released
Status
Current
Last updated
Tags
reasoningmultimodalflagshipcaching

Availability verified: — listed on OpenAI's own page