As of October 20, 2026, OpenAI GPT-6 Astra ranks #4 of 213 models overall with 52.7 on the Artificial Analysis Intelligence Index. Its strongest category is math, where it ranks #1 of 116. OpenAI GPT-6 Astra costs $10.00 per million input tokens and $50.00 per million output tokens. It was released on September 4, 2026.
Its output price ranks 337 of 349 priced models, counting from the cheapest.
Cite this page:LLMBenchmark.ai, "GPT-6 Astra Benchmarks, Pricing & Specs (October 2026)", https://llmbenchmark.ai/models/gpt-6-astra, accessed October 20, 2026.
Coding index88.7Partial, 2 benchmarks
Cost per solved taskNot computableNo published attempt cost
Output, per million tokens$50.00337 of 349 from the cheapest
Input, per million tokens$10.00OpenRouter list price
Context window1.05MTokens per request
About and specs
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...
API model idopenai/gpt-6-astra
Tool callingListed
Structured outputsListed
JSON modeListed
Reasoning modeListed
Web searchNot listed
Takes in
Files, Images, Text
Gives back
Text
Context window
1.05M tokens
Max output
128K tokens
Knowledge cutoff
April 30, 2026, per OpenAI model documentation
Cached input $/Mtok
$1.00
Cache write $/Mtok
$12.50
Reasoning $/Mtok
Not priced apart
Web search, per request
$0.01
Tokenizer
GPT
Requests moderated
Yes, by the provider
Withdrawn on
No date announced
Parameters
Not published
Downloads, all time
No public weights
Training compute
9.4e26 FLOP, Epoch AI estimate
Output speed
68 tokens/s, Max effort
Time to first token
239 s, Max effort
Speed on OpenRouter
32 tokens/s via OpenAI, 30-minute median
First token on OpenRouter
5.2 s via OpenAI, 30-minute median
Benchmarks: 92 of 190 measured
The tick on a coding bar is the median of every model measured on it. Outside coding, the place is this model's rank on that board. A board that never ran the model says so.
Not measured on GPQA Diamond, MMMU Pro (Vals AI), SimpleBench, VPCT, BIG-Bench Hard, LMArena Text: hard prompts, LMArena Text: expert, LMArena Text: hard prompts in English
Not measured on AIME, MATH 500 (Vals AI), MGSM (Vals AI), AA Math Index, AIME 2025 (Artificial Analysis run), MATH level 5, GSM8K, LMArena Text: math, LMArena Text: mathematical work
Not measured on Design Arena: images, Design Arena: graphic design, Design Arena: logos, LMArena Text to Image, LMArena Image Edit
Public boards shown as published (Vals AI, Artificial Analysis, Design Arena) and kept out of the coding index. Each links to its source on the benchmark page.
Neither board that publishes what a SWE-bench Verified attempt costs, Vals AI and swebench.com, has run this model. We leave the number out rather than estimate it.
LiveBench, on its own coding tasks, publishes what one task cost this model: $3.315, at a score of 93.7%. LiveBench counts that as $3.538 per successful task. Different tasks from SWE-bench, so it is not our number and does not enter its ranking. LiveBench coding
Beside a result, many boards publish what the run cost, how long it took, the tokens it spent or the votes behind a rating. Each figure as its board printed it, one board per row.
What each board publishes about the runs behind OpenAI: GPT-6 Astra's results