Model vs model
GPT-6 Sol vs GPT-6 Luna
GPT-6 Sol and GPT-6 Luna are both in llmwise. What each gets on every plan, what it reads, how it's served and what happens when its provider fails, from the catalog and the code that runs them.
Model prices and specs checked against OpenRouter's GPT-6 Sol page, OpenRouter's GPT-6 Luna page. Updated .
Short answer
GPT-6 Luna is an everyday model (60 messages a day on Pro); GPT-6 Sol draws on the monthly allowance (up to 125 messages a month on Pro). Beyond that, they read the same files and neither is easier to try. In our test runs, GPT-6 Sol passed 45 of the 50 prompts both answered and GPT-6 Luna 47; 4 prompts split them, most on writing (4 to 5).
GPT-6 Sol vs GPT-6 Luna, prompt by prompt
Every prompt GPT-6 Sol and GPT-6 Luna both answered, compared directly, their biggest differences first. One run each, through OpenRouter: a wait depends on the provider and the load that day, so a lead under 10% counts as close.
Of the 50 prompts both answered, both passed 44, only GPT-6 Sol passed 1, only GPT-6 Luna passed 3, and neither passed 2. GPT-6 Sol answered sooner on 7 of the 50 and GPT-6 Luna on 35; the rest were within 10% of each other. The 50 replies cost $0.1297 on GPT-6 Sol and $0.0059 on GPT-6 Luna: 22.0× less on GPT-6 Luna.
The 4 prompts only one of GPT-6 Sol and GPT-6 Luna passed
Rewrite corporate jargon in plain words (writing): GPT-6 Luna passed and GPT-6 Sol didn't. GPT-6 Sol: Graded 3.7 of 5 on average (lowest 3). GPT-6 Luna: Graded 4.7 of 5 on average (lowest 4).
Pens at 3 for $4 (math): GPT-6 Sol passed and GPT-6 Luna didn't. GPT-6 Sol: Final answer 13.50: right. GPT-6 Luna: Final answer 2 bundles and 4 singles for 12; expected 13.5.
A late order (customer support): GPT-6 Luna passed and GPT-6 Sol didn't. GPT-6 Sol: Graded 3.7 of 5 on average (lowest 1). GPT-6 Luna: Graded 4.7 of 5 on average (lowest 4).
Idioms into natural Japanese (translation): GPT-6 Luna passed and GPT-6 Sol didn't. GPT-6 Sol: Back-translation chrF 0.40 (pass at 0.4); reads back too far from the original. GPT-6 Luna: Back-translation chrF 0.55 (pass at 0.4).
Job by job, the widest gaps first
Customer support: GPT-6 Sol passed 3 of 5 and GPT-6 Luna 4 of 5. GPT-6 Luna answered 2.3× sooner at the median, 3.2 s against 1.4 s. GPT-6 Luna cost 33.8× less, $0.0146 against $0.0004 for the 5 replies. GPT-6 Sol's replies ran 27% longer, in tokens of reply, thinking not counted.
Translation: GPT-6 Sol passed 4 of 5 and GPT-6 Luna 5 of 5. GPT-6 Luna answered 2.1× sooner at the median, 3.2 s against 1.6 s. GPT-6 Luna cost 30.2× less, $0.0140 against $0.0005 for the 5 replies. Their replies ran to about the same length.
Writing: GPT-6 Sol passed 4 of 5 and GPT-6 Luna 5 of 5. GPT-6 Luna answered 1.4× sooner at the median, 3.5 s against 2.4 s. GPT-6 Luna cost 22.8× less, $0.0113 against $0.0005 for the 5 replies. Their replies ran to about the same length.
Math: GPT-6 Sol passed 5 of 5 and GPT-6 Luna 4 of 5. Their median waits were close, 2.2 s against 2.2 s. GPT-6 Luna cost 18.4× less, $0.0090 against $0.0005 for the 5 replies. Their replies ran to about the same length.
Summarization: GPT-6 Sol passed 4 of 5 and GPT-6 Luna 4 of 5. GPT-6 Luna answered 1.4× sooner at the median, 2.0 s against 1.5 s. GPT-6 Luna cost 23.4× less, $0.0110 against $0.0005 for the 5 replies. Their replies ran to about the same length.
SQL: GPT-6 Sol passed 5 of 5 and GPT-6 Luna 5 of 5. GPT-6 Luna answered 1.1× sooner at the median, 1.3 s against 1.2 s. GPT-6 Luna cost 23.3× less, $0.0104 against $0.0004 for the 5 replies. Their replies ran to about the same length.
RAG and answering from documents: GPT-6 Sol passed 5 of 5 and GPT-6 Luna 5 of 5. GPT-6 Sol answered 1.1× sooner at the median, 1.1 s against 1.3 s. GPT-6 Luna cost 21.0× less, $0.0081 against $0.0004 for the 5 replies. Their replies ran to about the same length.
Agents and tool use: GPT-6 Sol passed 5 of 5 and GPT-6 Luna 5 of 5. Their median waits were close, 1.9 s against 1.9 s. GPT-6 Luna cost 19.9× less, $0.0081 against $0.0004 for the 5 replies. Their replies ran to about the same length.
Data analysis: GPT-6 Sol passed 5 of 5 and GPT-6 Luna 5 of 5. GPT-6 Luna answered 1.1× sooner at the median, 2.8 s against 2.5 s. GPT-6 Luna cost 19.2× less, $0.0169 against $0.0009 for the 5 replies. Their replies ran to about the same length.
Coding: GPT-6 Sol passed 5 of 5 and GPT-6 Luna 5 of 5. Their median waits were close, 4.8 s against 4.6 s. GPT-6 Luna cost 18.3× less, $0.0262 against $0.0014 for the 5 replies. Their replies ran to about the same length.
All 50 prompts: who passed, who answered sooner, who cost less
| Prompt | Result | Sooner | Cheaper |
|---|---|---|---|
| Turn a title into a URL slug | Both passed | GPT-6 Luna, 1.4×took 3.3 s and 2.3 s | GPT-6 Luna, 33.0×cost $0.0028 and $0.0001 |
| Parse a duration like “1h 30m” | Both passed | Closetook 4.8 s and 4.6 s | GPT-6 Luna, 16.8×cost $0.0042 and $0.0003 |
| Merge overlapping intervals | Both passed | GPT-6 Luna, 1.1×took 1.7 s and 1.5 s | GPT-6 Luna, 20.0×cost $0.0022 and $0.0001 |
| Evaluate an arithmetic expression, no eval | Both passed | GPT-6 Luna, 1.1×took 9.7 s and 8.8 s | GPT-6 Luna, 16.0×cost $0.0089 and $0.0006 |
| Parse CSV with quoted fields | Both passed | GPT-6 Luna, 1.2×took 8.9 s and 7.2 s | GPT-6 Luna, 18.8×cost $0.0081 and $0.0004 |
| Announce a second bakery shop on LinkedIn | Both passed | GPT-6 Luna, 1.2×took 3.5 s and 2.9 s | GPT-6 Luna, 23.5×cost $0.0027 and $0.0001 |
| Rewrite corporate jargon in plain words | Only GPT-6 Luna | GPT-6 Luna, 2.1×took 5.0 s and 2.4 s | GPT-6 Luna, 31.8×cost $0.0033 and $0.0001 |
| Decline a meeting and offer two times | Both passed | Closetook 1.3 s and 1.3 s | GPT-6 Luna, 19.9×cost $0.0014 and $0.0001 |
| A product announcement with five rules | Both passed | GPT-6 Luna, 1.1×took 1.6 s and 1.5 s | GPT-6 Luna, 18.7×cost $0.0014 and $0.0001 |
| Argue both sides of free buses | Both passed | GPT-6 Luna, 1.7×took 4.2 s and 2.5 s | GPT-6 Luna, 19.0×cost $0.0025 and $0.0001 |
| A discount, then sales tax | Both passed | GPT-6 Sol, 1.9×took 1.7 s and 3.1 s | GPT-6 Luna, 16.9×cost $0.0013 and $0.0001 |
| Pens at 3 for $4 | Only GPT-6 Sol | GPT-6 Luna, 1.2×took 3.3 s and 2.9 s | GPT-6 Luna, 17.6×cost $0.0024 and $0.0001 |
| Compound interest over three years | Both passed | GPT-6 Sol, 1.5×took 1.4 s and 2.0 s | GPT-6 Luna, 17.9×cost $0.0014 and $0.0001 |
| Four-digit numbers whose digits sum to 9 | Both passed | GPT-6 Luna, 1.2×took 2.5 s and 2.0 s | GPT-6 Luna, 19.0×cost $0.0019 and $0.0001 |
| The highest of three dice is a 5 | Both passed | Closetook 2.2 s and 2.2 s | GPT-6 Luna, 20.5×cost $0.0020 and $0.0001 |
| An article in three bullets | Neither passed | GPT-6 Luna, 1.4×took 2.0 s and 1.5 s | GPT-6 Luna, 20.7×cost $0.0020 and $0.0001 |
| An email thread in one sentence | Both passed | GPT-6 Luna, 1.9×took 2.0 s and 1.1 s | GPT-6 Luna, 20.3×cost $0.0014 and $0.0001 |
| Decisions and action items from a meeting | Both passed | GPT-6 Luna, 2.3×took 3.5 s and 1.5 s | GPT-6 Luna, 33.3×cost $0.0034 and $0.0001 |
| A quarterly memo for the CEO | Both passed | GPT-6 Luna, 1.7×took 2.6 s and 1.5 s | GPT-6 Luna, 20.0×cost $0.0024 and $0.0001 |
| A study with a negative result | Both passed | GPT-6 Luna, 1.3×took 1.7 s and 1.3 s | GPT-6 Luna, 21.9×cost $0.0017 and $0.0001 |
| The region with the most revenue | Both passed | GPT-6 Luna, 1.1×took 2.8 s and 2.5 s | GPT-6 Luna, 20.0×cost $0.0026 and $0.0001 |
| Average order value in August | Both passed | Closetook 2.8 s and 2.6 s | GPT-6 Luna, 19.2×cost $0.0025 and $0.0001 |
| Revenue change from July to August | Both passed | GPT-6 Luna, 1.1×took 2.8 s and 2.5 s | GPT-6 Luna, 18.7×cost $0.0025 and $0.0001 |
| A median, filtered two ways | Both passed | Closetook 2.5 s and 2.5 s | GPT-6 Luna, 20.8×cost $0.0024 and $0.0001 |
| Correlation between ad spend and sign-ups | Both passed | Closetook 6.6 s and 6.7 s | GPT-6 Luna, 18.7×cost $0.0069 and $0.0004 |
| A late order | Only GPT-6 Luna | GPT-6 Luna, 2.1×took 3.2 s and 1.6 s | GPT-6 Luna, 27.0×cost $0.0025 and $0.0001 |
| A return inside the window | Both passed | GPT-6 Luna, 1.2×took 1.5 s and 1.2 s | GPT-6 Luna, 19.9×cost $0.0017 and $0.0001 |
| A frustrated customer | Neither passed | GPT-6 Luna, 4.2×took 5.9 s and 1.4 s | GPT-6 Luna, 52.0×cost $0.0043 and $0.0001 |
| A refund request outside the window | Both passed | GPT-6 Luna, 2.3×took 3.0 s and 1.3 s | GPT-6 Luna, 29.5×cost $0.0025 and $0.0001 |
| A message with a planted instruction | Both passed | GPT-6 Luna, 2.9×took 4.4 s and 1.5 s | GPT-6 Luna, 41.2×cost $0.0037 and $0.0001 |
| A delivery message into Spanish | Both passed | GPT-6 Luna, 1.3×took 3.2 s and 2.6 s | GPT-6 Luna, 27.1×cost $0.0026 and $0.0001 |
| A product description into French | Both passed | GPT-6 Luna, 1.5×took 2.1 s and 1.4 s | GPT-6 Luna, 20.3×cost $0.0019 and $0.0001 |
| A meeting note into German | Both passed | GPT-6 Luna, 2.9×took 5.0 s and 1.7 s | GPT-6 Luna, 43.0×cost $0.0035 and $0.0001 |
| Idioms into natural Japanese | Only GPT-6 Luna | GPT-6 Luna, 1.5×took 2.4 s and 1.6 s | GPT-6 Luna, 20.8×cost $0.0021 and $0.0001 |
| A lease clause into Brazilian Portuguese | Both passed | GPT-6 Luna, 3.1×took 4.6 s and 1.5 s | GPT-6 Luna, 41.7×cost $0.0040 and $0.0001 |
| Customers in one country | Both passed | Closetook 1.1 s and 1.0 s | GPT-6 Luna, 20.0×cost $0.0012 and $0.0001 |
| Count orders by status | Both passed | GPT-6 Luna, 1.2×took 1.1 s and 0.9 s | GPT-6 Luna, 20.9×cost $0.0012 and $0.0001 |
| Revenue by category | Both passed | GPT-6 Luna, 1.1×took 1.3 s and 1.2 s | GPT-6 Luna, 20.2×cost $0.0018 and $0.0001 |
| Every customer, even those without orders | Both passed | GPT-6 Sol, 1.7×took 1.4 s and 2.4 s | GPT-6 Luna, 18.8×cost $0.0018 and $0.0001 |
| Monthly revenue with a running total | Both passed | GPT-6 Luna, 2.5×took 4.5 s and 1.8 s | GPT-6 Luna, 31.1×cost $0.0043 and $0.0001 |
| A fact from one section | Both passed | GPT-6 Sol, 1.1×took 1.1 s and 1.3 s | GPT-6 Luna, 19.9×cost $0.0015 and $0.0001 |
| Core hours and start times | Both passed | GPT-6 Luna, 1.1×took 1.1 s and 1.0 s | GPT-6 Luna, 19.9×cost $0.0016 and $0.0001 |
| Two sections in one answer | Both passed | GPT-6 Sol, 1.2×took 1.2 s and 1.4 s | GPT-6 Luna, 20.5×cost $0.0016 and $0.0001 |
| A later amendment changes the answer | Both passed | GPT-6 Luna, 2.0×took 2.0 s and 1.0 s | GPT-6 Luna, 24.1×cost $0.0020 and $0.0001 |
| A question the handbook doesn't answer | Both passed | GPT-6 Sol, 2.1×took 0.9 s and 1.9 s | GPT-6 Luna, 20.1×cost $0.0014 and $0.0001 |
| Pick the tool and work out the date | Both passed | Closetook 2.2 s and 2.1 s | GPT-6 Luna, 21.1×cost $0.0016 and $0.0001 |
| Convert a currency | Both passed | GPT-6 Luna, 1.6×took 1.8 s and 1.1 s | GPT-6 Luna, 18.0×cost $0.0012 and $0.0001 |
| Book a meeting from a sentence | Both passed | GPT-6 Luna, 1.5×took 1.9 s and 1.2 s | GPT-6 Luna, 23.8×cost $0.0021 and $0.0001 |
| Search, but don't book | Both passed | GPT-6 Sol, 2.0×took 1.1 s and 2.2 s | GPT-6 Luna, 16.3×cost $0.0014 and $0.0001 |
| Two calls with a unit conversion | Both passed | GPT-6 Luna, 1.5×took 2.8 s and 1.9 s | GPT-6 Luna, 19.8×cost $0.0018 and $0.0001 |
GPT-6 Sol vs GPT-6 Luna in our test runs
GPT-6 Sol and GPT-6 Luna on the same prompts, job by job: how many replies passed their check.
Based on 100 of our test runs on , through OpenRouter with the app's own prompt and settings. Updated .
| Job | GPT-6 Sol | GPT-6 Luna |
|---|---|---|
| Coding | 5 of 5 | 5 of 5 |
| Writing | 4 of 5 | 5 of 5 |
| Math | 5 of 5 | 4 of 5 |
| Summarization | 4 of 5 | 4 of 5 |
| Data analysis | 5 of 5 | 5 of 5 |
| Customer support | 3 of 5 | 4 of 5 |
| Translation | 4 of 5 | 5 of 5 |
| SQL | 5 of 5 | 5 of 5 |
| RAG and answering from documents | 5 of 5 | 5 of 5 |
| Agents and tool use | 5 of 5 | 5 of 5 |
| All jobs | 45 of 50 · 1 message each · $0.0026 a reply | 47 of 50 · 1 message each · $0.0001 a reply |
The same prompts, sent to both through llmwise's own pipeline and checked the same way: five for each job. A bold count is the one that passed more. Messages: what each reply counted as on Pro. Cost: what OpenRouter charged us per reply, on average. Every prompt, and how it's scored.
Where they differed most, writing: both replies to a prompt only one of them passed.
An everyday prompt: “Rewrite corporate jargon in plain words”, in full.
GPT-6 Sol
Failed: Graded 3.7 of 5 on average (lowest 3).
In Q3, teams across the company worked together to put a more customer-focused approach into practice. In the enterprise customer segment, retention measures improved by 12%, while the rate at which customers left fell by 30 basis points (0.3 percentage points). We also adjusted how we connect with customers across channels to make better use of our capacity.
417 tokens in, 246 out (169 of them reasoning) · 5.0 s · $0.0033 · 1 message on Pro · answered by openai/gpt-6-sol via OpenAI ·
GPT-6 Luna
Passed: Graded 4.7 of 5 on average (lowest 4).
In Q3, teams across the company worked together to focus more on customers. Retention measures improved by 12%, and the rate of customer loss fell by 0.3 percentage points in the enterprise segment. The company also adjusted its customer contact channels to make better use of available capacity.
417 tokens in, 124 out (59 of them reasoning) · 2.4 s · $0.0001 · 1 message on Pro · answered by openai/gpt-6-luna via OpenAI ·
GPT-6 Sol and GPT-6 Luna on every plan
Whether the one-time free trial reaches each model, then each paid plan's messages on it.
| Plan | Price | GPT-6 Sol | GPT-6 Luna |
|---|---|---|---|
| Free | $0 | In the one-time trial of 5 messages | In the one-time trial of 5 messages |
| Pro | $20 a month | Up to 125 a month | 60 a day |
| Max | $50 a month | Up to 400 a month | 120 a day |
| Ultra | $100 a month | Up to 900 a month | 200 a day |
| Studio | $200 a month | Up to 2,000 a month | 200 a day |
Prices don't include tax, which is added where it applies and shown before you pay. A paid plan's month is one allowance shared by every model, so each monthly count is the most you get if all of it goes to that model. It renews each billing period; everyday models refill daily at 00:00 UTC. Long chats count more per reply. How pricing works.
Every limit is published. Paid plans also have a monthly fair-use limit on AI cost: Pro $7.50, Max $20, Ultra $42, Studio $85. Using every message on your plan at typical sizes stays under it; very large messages and heavy research use it faster. Every limit, explained.
What differs
Messages on Pro
GPT-6 Luna is an everyday model (60 messages a day on Pro); GPT-6 Sol draws on the monthly allowance (up to 125 messages a month on Pro).
Context window
Both take up to 1.05M tokens of context. A chat in llmwise holds up to 200k tokens, which fits in either, so the difference shows only through each maker's own API.
Images and PDFs
Both read images. Both take a PDF as the whole file, pages and all.
On Free
Both are in the free trial.
Where messages go
Both are GPT models, served the same way. Sent to OpenAI directly.
Fact by fact
| Fact | GPT-6 Sol | GPT-6 Luna |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Reads images | Yes | Yes |
| PDFs | Whole file | Whole file |
| Reasoning | Yes | Yes |
| API price (September 2026) | $2.00 in / $10.00 out per million tokens | $0.10 in / $0.50 out per million tokens |
| A typical message at API prices (4,000 tokens in, 700 out) | $0.0150 | $0.0008 |
| A $10 top-up adds | 100 messages | Nothing: an everyday model's count is daily |
| Where a message goes | Sent to OpenAI directly. | Sent to OpenAI directly. |
| If the provider fails | If OpenAI fails before the reply starts (an overload, a server error, a dropped connection), llmwise sends the same request to GPT-6 Sol through OpenRouter instead. | If OpenAI fails before the reply starts (an overload, a server error, a dropped connection), llmwise sends the same request to GPT-6 Luna through OpenRouter instead. |
| Anthropic's safety fallback | Doesn't apply | Doesn't apply |
GPT-6 Sol or GPT-6 Luna?
From the facts above and our test runs: the rest is how their answers suit your work, which one chat can show you.
Pick GPT-6 Luna: its messages come from the daily count (60 messages a day on Pro), so they leave the monthly allowance for bigger models.
Each model's page, the families, and other pairs
- GPT-6 Sol: price, limits and messages on every plan
- GPT-6 Luna: price, limits and messages on every plan
- Claude Opus 5.5 vs GPT-6 Sol
- GPT-6 Astra vs GPT-6 Sol
- Claude Sonnet 5 vs GPT-6 Sol
- GPT-6 Luna vs DeepSeek V4.1 Flash
- Claude Haiku 4.5 vs GPT-6 Luna
- GPT-6 Astra vs GPT-6 Luna
- Every model-vs-model page
Both are made by the same company, so they're served the same way.
Questions
Is GPT-6 Sol or GPT-6 Luna cheaper in llmwise?
GPT-6 Luna is an everyday model (60 messages a day on Pro); GPT-6 Sol draws on the monthly allowance (up to 125 messages a month on Pro). Every paid plan's monthly allowance is shared by all models, so each count is the most you get if it all goes to that model.
Can I try GPT-6 Sol and GPT-6 Luna for free?
Yes: both are in the free trial of 5 messages.
Which has the bigger context window, GPT-6 Sol or GPT-6 Luna?
Neither: both take 1.05M tokens. A chat in llmwise holds up to 200k tokens, which fits in either, so the difference shows only through each maker's own API.
Can I use GPT-6 Sol and GPT-6 Luna in the same chat?
Yes. Pick GPT-6 Sol for one message and GPT-6 Luna for the next; the second sees the whole chat, including the first one's answer.
Which did better in your test runs, GPT-6 Sol or GPT-6 Luna?
On the same 50 prompts, run on September 27, 2026, GPT-6 Sol passed 45 and GPT-6 Luna passed 47. The table on this page has each job, and every reply is published.
Claude, GPT, Gemini, DeepSeek, Grok, Kimi, and GLM, in one chat.
See what a message costs before you send it. Free is 5 messages to try; sign in with an email link, no password or card.