Home / GPT-6 Sol Cost Calculator
GPT-6 Sol is the middle GPT-6 tier on price — 20x Luna and one-fifth of Astra per token. Enter your token usage below to estimate what Sol costs per request, per day, per month, and per year, with prompt caching and service tiers factored in. The widget compares Sol against Luna and Astra side by side, so the cost gap shows up in the same numbers you typed.
Pricing source: OpenAI official pricing · Last verified: September 26, 2026 · Manually verified
OpenAI's official pricing page lists two rate columns for GPT-6 Sol — short context and long context. Both columns are reproduced below so you can see exactly which numbers the calculator uses and which it leaves out.
| Rate (per 1M tokens) | Short context | Long context |
|---|---|---|
| Input | $2.00 | $4.00 |
| Cached input | $0.20 | $0.40 |
| Output | $10.00 | $15.00 |
The calculator on this page uses the short-context rates — the common case for most API workloads. Cached input is priced at one-tenth of fresh input in both columns, so reusing prompt prefixes is the single biggest lever on a Sol bill. On top of the base rates, OpenAI documents service-tier multipliers: Standard 1.0×, Flex 0.5× (lower priority), and Batch 0.5× (deferred, 24-hour turnaround) — a straight 50% discount for workloads that can wait.
30,000 input + 8,000 output tokens per request, 20,000 requests/month, 40% prompt caching.
$0.1184 / request · $2,368 / month · $28,416 / year
fresh input 18K × $2.00 + cached 12K × $0.20 + output 8K × $10.00 (per 1M)
4,000 input + 800 output tokens per request, 500,000 requests/month, 70% prompt caching.
$0.01096 / request · $5,480 / month
fresh input 1.2K × $2.00 + cached 2.8K × $0.20 + output 0.8K × $10.00 (per 1M)
Identical workload (4K in / 0.8K out, 500K requests/month, 70% cache) priced at Luna's rates.
$0.000548 / request · $274 / month — 95% lower than Sol
This is a pure price comparison. It says nothing about which model fits your use case.
All examples use the Standard tier (1.0×) and short-context rates, last verified September 26, 2026.
At short-context rates, GPT-6 Sol costs $2.00 per 1M input tokens, $0.20 per 1M cached input tokens, and $10.00 per 1M output tokens. Long-context rates are $4.00 input, $0.40 cached input, and $15.00 output. The calculator on this page uses the short-context rates.
It depends on token volume, but a typical coding-agent workload — 30,000 input and 8,000 output tokens per request, 20,000 requests per month, 40% prompt caching — costs $0.1184 per request, or $2,368 per month ($28,416 per year) on the Standard tier. Output tokens dominate the bill because Sol output is priced at $10.00 per 1M tokens, five times the input rate.
Cached input on Sol costs $0.20 per 1M tokens versus $2.00 for fresh input — one-tenth the price on the cached share. For example, a support chatbot doing 500,000 requests a month with 70% cache hits pays $1,480/month for its input tokens instead of $4,000, a $2,520 monthly saving that brings the total bill from $8,000 down to $5,480.
OpenAI's official pricing page lists two rate columns for Sol: short context ($2.00 input / $0.20 cached / $10.00 output per 1M tokens) and long context ($4.00 input / $0.40 cached / $15.00 output). The calculator on this page uses short-context rates, which cover the common case. If your prompts consistently hit long-context thresholds, expect exactly double the input-side cost.
Yes. Both Flex and Batch are officially documented 0.5× multipliers — a 50% discount for lower-priority (Flex) or deferred 24-hour-turnaround (Batch) processing. The $2,368/month coding-agent example above would drop to $1,184/month on the Batch tier.
Purely on price, Sol's rates are 20 times Luna's: $2.00 vs $0.10 per 1M input tokens and $10.00 vs $0.50 per 1M output tokens. The same 500,000-request chatbot workload costs $5,480/month on Sol versus $274/month on Luna. See the full side-by-side breakdown on the Sol vs Luna cost comparison page. This is a mathematical cost comparison only — it says nothing about which model to choose.
All GPT-6 Sol prices on this page are copied from the OpenAI official pricing page. Last verified: September 26, 2026 · Manually verified — there is no live price feed, and we don't pretend there is. The full policy, including which rate tables the calculator uses and why, is published on the Pricing Methodology page.
Independence disclosure: this is an independent cost-estimation tool. It is not affiliated with, sponsored by, or endorsed by OpenAI. Model names and prices belong to their providers — always confirm on the official pricing page before making decisions.