GPT-6 Astra vs GPT-5.6 Sol: is the new top tier worth 2.5x?

OpenAI's two most capable text models sit 2.5x apart on price. The question is whether the top tier earns it, or whether Sol is the value pick of the two.

GPT-6 Astra

GPT-6

Intelligence 53
25.0ktokens per $1

GPT-6 Astra

GPT-6
Intelligence 53
tokens per $125.0k
Intelligence per $1
13,250
Per 1M (in / out)
$10 / $50
Released
3 Sep 2026
Tokens for $201.0M
Best value

GPT-5.6 Sol

GPT-5.6

Intelligence 47
62.5ktokens per $1

GPT-5.6 Sol

GPT-5.6
Intelligence 47
tokens per $162.5k
Intelligence per $1
29,375
Per 1M (in / out)
$4 / $20
Released
9 Jul 2026
Tokens for $202.6M

Value verdict: on intelligence per $1, ChatGPT currently comes out ahead — 13,250 vs 29,375. Prices move often, so recheck the calculator regularly.

At a glance

Model compared
GPT-6 AstraGPT-5.6 SolChatGPT
Flagship modelGPT-6 AstraGPT-5.6 Sol
Input / 1M$10$4
Output / 1M$50$20
Intelligence index5347
Tokens / $125.0k62.5k
Intelligence / $113,25029,375

Price

GPT-6 Astra is $10 / $50 per 1M tokens. GPT-5.6 Sol is $4 / $20 — and that is a promotional rate through 21 November 2026, so the gap can widen to $10 / $50 versus $8 / $30 for long-context work. Astra costs 2.5x more on both axes today.

Capability

Astra is the newer model and sits higher on the intelligence index — it is OpenAI's answer to the current top tier. Sol is one step back and remains one of the strongest models on the site, particularly for back-end work and bug fixing with close guidance.

When to pick which

Choose Astra for short, expensive, high-stakes tasks: architecture decisions, hard debugging, agentic runs where a wrong first attempt costs more than the tokens. Choose Sol for anything high-volume — refactors, test generation, bulk content — where the 2.5x saving compounds far faster than the quality difference. Price the switch in the calculator with your own monthly volume.

Bottom line: Astra for the hardest, lowest-volume work where one-shot quality matters; Sol for everything else. Sol costs 2.5x less and is still one of the strongest models in the catalog — for most workloads it is the better buy.

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