Guide

GPT-6 Sol launch: benchmarks, pricing, and when to pin it

GPT-6 Sol launched on 22 September 2026 as the mid-tier GPT-6 row: half the list price of GPT-5.6 Sol, and one fifth of GPT-6 Astra. Artificial Analysis puts its Coding Agent Index at 57, two points above GPT-5.6 Sol, at about half the cost per task. AshnaAI catalog id is gpt-6-sol.

AshnaAI

GPT-6 Sol launch: benchmarks, pricing, and when to pin it

Key Takeaways

  • GPT-6 Sol is catalog id gpt-6-sol. Azure Global Standard short context is $2 input, $0.20 cached input, $2.50 cache write, and $10 output per 1M tokens. That is half of GPT-5.6 Sol and one fifth of GPT-6 Astra.
  • Artificial Analysis Coding Agent Index at max effort is 57 for GPT-6 Sol versus 55 for GPT-5.6 Sol. Terminal-Bench 4.0 in the Codex harness is 43% versus 37%. Hallucination rate on AA-Omniscience falls from 92% to 60%.
  • The same article reports a GDPval-AA regression of about 100 Elo for Sol. Pin Sol for coding and agent cost. Keep Astra for the computer-use cells Sol does not lead, and Luna or GLM-5.3-Flash for volume.

What shipped on 22 September

On 22 September 2026 Microsoft added GPT-6 Sol and GPT-6 Luna to generally available Foundry deployments, in GPT-6 Astra, Sol, and Luna for production AI agents. Sol is the cost-efficient high-end row under Astra. Artificial Analysis the same day said the list price is about half of GPT-5.6 Sol: $2 input and $10 output per million tokens, with a 90% cache-read discount and a 25% cache-write premium.

AshnaAI lists the catalog id `gpt-6-sol` on the same Azure Responses path as `gpt-6-astra`. The context window on that row is 1.05 million tokens. Pin it in chat or pass the id through the OpenAI-compatible API.

Benchmarks vs GPT-5.6 Sol and Luna

Read Sol’s column as a cost cut with a small coding gain, not as a new flagship. Coding Agent Index moves from 55 to 57. Terminal-Bench 4.0 in the Codex harness moves from 37% to 43%. SWE-Atlas-QnA moves from 54% to 58%. Hallucination rate on AA-Omniscience falls from 92% to 60%, partly because Sol answers fewer questions (83% attempted versus 99%) and accuracy slips from 59% to 54%. AutomationBench-AA moves from 60% to 62%. Artificial Analysis also says Sol drops about 100 Elo on GDPval-AA v2.1. The Intelligence Index cost per task is $1.06 versus $1.99 for GPT-5.6 Sol.

The table is Artificial Analysis at max effort, dated 22 September 2026. It is an independent scoreboard, not OpenAI’s launch table. GPT-6 Astra still leads OpenAI’s own 3 September computer-use and science cells; those Astra numbers are on the GPT-6 Astra launch post.

GPT-6 Sol and Luna vs GPT-5.6, published by Artificial Analysis on 22 September 2026
BenchmarkGPT-6 SolGPT-5.6 SolGPT-6 LunaGPT-5.6 Luna
Coding agents
Coding Agent Index (Codex harness)57554143
Terminal-Bench 4.0 (Codex harness)43%37%——
SWE-Atlas-QnA58%54%44%49%
DeepSWE v1.1——64%66%
Knowledge and agents
AA-Omniscience Index27221−10
Hallucination rate (lower is better)60%92%77%93%
AutomationBench-AA62%60%53%50%
Terminal-Bench 4.0 (Intelligence Index breakdown)44%40%13%12%
Copied from Artificial Analysis, “GPT-6 Sol and Luna push the cost efficiency frontier” (22 September 2026). Scores are max effort. Dashes are cells the article did not publish. The two Terminal-Bench rows are separate sentences in that article and are not the same harness. artificialanalysis.ai/articles/gpt-6-sol-and-luna-push-the-cost-efficiency-frontier

What the token bill looks like

Sol at $2 / $10 is the row to pin when GPT-5.6 Sol was the default and the job does not need Astra. Astra remains $10 / $50. Luna is $0.10 / $0.50. Cached input is 10% of the uncached input rate. Cache writes are 1.25× uncached input. On Ashna, reasoning tokens for this family are billed at 1.5× the short-context output rate ($15 per million for Sol).

Global Standard short-context list rates, USD per 1 million tokens
Rate per 1M tokensGPT-6 SolGPT-6 LunaGPT-6 AstraGPT-5.6 SolGPT-5.6 Luna
Input$2.00$0.10$10.00$4.00$0.20
Cached input$0.20$0.01$1.00$0.40$0.02
Cache write$2.50$0.125$12.50$5.00$0.25
Output$10.00$0.50$50.00$20.00$1.20
GPT-6 Astra, Sol, and Luna short-context rates from Microsoft’s Foundry launch post. GPT-5.6 Sol and Luna are the Ashna catalog list rates, which match the predecessor prices Artificial Analysis cites ($4/$20 and $0.20/$1.20). Long-context Azure rates are higher and are not this table. azure.microsoft.com/en-us/blog/gpt-6-astra-sol-and-luna-for-production-agents-in-microsoft-foundry

Long context is a separate Azure rate

Microsoft’s long-context column for Sol is $4 input, $0.40 cached input, $5 cache write, and $15 output. Ashna’s billed sheet stays on the short-context rates. Do not assume a prompt over a few hundred thousand tokens is still $2 / $10 at the provider.

Azure Global Standard long-context rates, USD per 1 million tokens
Rate per 1M tokensGPT-6 SolGPT-6 Luna
Input$4.00$0.20
Cached input$0.40$0.02
Cache write$5.00$0.25
Output$15.00$0.75
Long-context columns from Microsoft’s Foundry post. Input and cache are 2× short context. Output is 1.5× short context. Ashna bills the short-context sheet above. azure.microsoft.com/en-us/blog/gpt-6-astra-sol-and-luna-for-production-agents-in-microsoft-foundry

When to pin Sol instead of Astra or Luna

Pin GPT-6 Astra when the job is computer use, science, or the cells Astra published on 3 September. Pin GPT-6 Luna or GLM-5.3-Flash when the job is high volume and a two-point coding-index gap is not worth $10 output. Pin Sol for the middle: agent and coding work that used to sit on GPT-5.6 Sol.

Everyday mixed chat can stay on Ashna-X1, which routes the task instead of locking one id. Cost ladder: Cheapest coding AI vs Claude Opus 5 and GPT-5.6 Sol.

Try gpt-6-sol now

New accounts start at app.ashna.ai/signup. Open GPT-6 Sol in AshnaAI chat. Keep GPT-6 Luna and GPT-6 Astra on the same account so the pin is a switch, not a new vendor.

Product API traffic uses Account → API and the AshnaAI API docs. The model id is `gpt-6-sol`.

Sourcing & Methodology

Sourced to Microsoft’s Foundry post for GPT-6 Astra, Sol, and Luna, and to Artificial Analysis on 22 September 2026. Benchmark cells are copied from that Artificial Analysis article, including regressions. Prices are Azure Global Standard short context, the sheet Ashna bills. Does not invent scores OpenAI did not publish on these pages.

Topics

#GPT-6 Sol#OpenAI#benchmarks#pricing

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Frequently asked questions

Everything You Need to Know

GPT-6 Sol is the mid-tier GPT-6 model Microsoft added to Foundry on 22 September 2026, alongside GPT-6 Luna. The AshnaAI catalog id is gpt-6-sol. It sits under GPT-6 Astra on price and above GPT-6 Luna.

Azure Global Standard short context is $2 per million input tokens, $0.20 cached input, $2.50 cache write, and $10 per million output tokens. Long context is $4 input and $15 output. Ashna bills the short-context sheet. GPT-5.6 Sol on the same catalog is $4 input and $20 output. GPT-6 Astra is $10 and $50.

On the Artificial Analysis Coding Agent Index at max effort, yes: 57 versus 55, with Terminal-Bench 4.0 at 43% versus 37% in the Codex harness and SWE-Atlas-QnA at 58% versus 54%. Cost per coding-agent task is about half. It does not lead GPT-6 Astra, and Artificial Analysis also reports a knowledge-work regression on GDPval-AA.

The Ashna catalog gives gpt-6-sol the same 1.05 million token window as gpt-6-astra and gpt-6-luna. Reasoning stays on. Effort levels are low, medium, high, xhigh, and max, and the catalog default is low.

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