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.
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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.
| Benchmark | GPT-6 Sol | GPT-5.6 Sol | GPT-6 Luna | GPT-5.6 Luna |
|---|---|---|---|---|
| Coding agents | ||||
| Coding Agent Index (Codex harness) | 57 | 55 | 41 | 43 |
| Terminal-Bench 4.0 (Codex harness) | 43% | 37% | — | — |
| SWE-Atlas-QnA | 58% | 54% | 44% | 49% |
| DeepSWE v1.1 | — | — | 64% | 66% |
| Knowledge and agents | ||||
| AA-Omniscience Index | 27 | 22 | 1 | −10 |
| Hallucination rate (lower is better) | 60% | 92% | 77% | 93% |
| AutomationBench-AA | 62% | 60% | 53% | 50% |
| Terminal-Bench 4.0 (Intelligence Index breakdown) | 44% | 40% | 13% | 12% |
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).
| Rate per 1M tokens | GPT-6 Sol | GPT-6 Luna | GPT-6 Astra | GPT-5.6 Sol | GPT-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 |
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.
| Rate per 1M tokens | GPT-6 Sol | GPT-6 Luna |
|---|---|---|
| Input | $4.00 | $0.20 |
| Cached input | $0.40 | $0.02 |
| Cache write | $5.00 | $0.25 |
| Output | $15.00 | $0.75 |
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`.
Frequently asked questions
- What is GPT-6 Sol?
- 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.
- How much does GPT-6 Sol cost?
- 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.
- Does GPT-6 Sol beat GPT-5.6 Sol on coding?
- 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.
- What is the context window?
- 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.
- Where do I try GPT-6 Sol?
- Open https://app.ashna.ai/chat?agent=gpt-6-sol The same id is on the OpenAI-compatible API. Compare it with https://app.ashna.ai/chat?agent=gpt-6-luna and https://app.ashna.ai/chat?agent=gpt-6-astra on one login.
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