Ordinal

Which model is worth using

1 Oct 2026

OpenAI

GPT-6.1 Sol

Near-Astra intelligence at less than a quarter of Astra's measured task cost. This is the closed model to try first.

50Index · High
$0.32Per measured task
156 pts/$Points / $
63Tokens / sec

Every published effort

SettingIndexPer taskTokens / sec
Max52$0.7265
Extra high51$0.3963
High50$0.3263
Medium48$0.2159
Low42$0.1360

What this workload costs

List price for one call. Reasoning tokens count as output. A cache hit uses the lab’s cache rate when one is published.

GPT-6.1 Sol
Cache applied
$0.0601

Specs

API id
gpt-6.1-sol
Released
29 Sep 2026
Context
1M
Max output
—
Input / 1M
$2.00
Output / 1M
$10.00
Cache read / 1M
$0.10
Knowledge
—
Inputs
Text
Weights
Closed

Replaces GPT-6 Sol after seven days, at the same $2 / $10 sticker. Cache reads are 95% off, so $0.10. The same 272k whole-request reprice as Astra applies. Context figure is the 1M listed by Artificial Analysis.

Image input is confirmed on the Astra card. It is not repeated on the pricing row for Sol, so this card does not assume vision.

Use it when

The default OpenAI model. Coding and agent work at a price you can leave on. High effort is 50 on the index at $0.32 a measured task. Max is 52 at $0.72.

Leave it when

When you have measured that Astra's extra tools or its last point actually change the outcome. Otherwise Sol is the better bill.

Sources