Model vs model
GPT-6 Luna vs DeepSeek V4 Pro
GPT-6 Luna and DeepSeek V4 Pro 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 Luna page, OpenRouter's DeepSeek V4 Pro page. Updated .
Short answer
GPT-6 Luna is an everyday model (60 messages a day on Pro); DeepSeek V4 Pro draws on the monthly allowance (up to 250 messages a month on Pro). Otherwise, only GPT-6 Luna reads images and only GPT-6 Luna reads a PDF as the whole file. In our test runs, GPT-6 Luna passed 47 of the 50 prompts both answered and DeepSeek V4 Pro 49; 2 prompts split them, most on math (4 to 5).
GPT-6 Luna vs DeepSeek V4 Pro, prompt by prompt
Every prompt GPT-6 Luna and DeepSeek V4 Pro 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 47, only GPT-6 Luna passed 0, only DeepSeek V4 Pro passed 2, and neither passed 1. GPT-6 Luna answered sooner on 39 of the 50 and DeepSeek V4 Pro on 8; the rest were within 10% of each other. The 50 replies cost $0.0059 on GPT-6 Luna and $0.1827 on DeepSeek V4 Pro: 31.0× less on GPT-6 Luna.
The 2 prompts only one of GPT-6 Luna and DeepSeek V4 Pro passed
Pens at 3 for $4 (math): DeepSeek V4 Pro passed and GPT-6 Luna didn't. GPT-6 Luna: Final answer 2 bundles and 4 singles for 12; expected 13.5. DeepSeek V4 Pro: Final answer 3 packs of 3 pens plus 1 single pen, costing 13.50: right.
An article in three bullets (summarization): DeepSeek V4 Pro passed and GPT-6 Luna didn't. GPT-6 Luna: Graded 4.0 of 5 on average (lowest 3); but 61 words, over the 60 allowed. DeepSeek V4 Pro: Graded 4.3 of 5 on average (lowest 4).
Job by job, the widest gaps first
Summarization: GPT-6 Luna passed 4 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Luna answered 1.4× sooner at the median, 1.5 s against 2.1 s. GPT-6 Luna cost 9.7× less, $0.0005 against $0.0046 for the 5 replies. Their replies ran to about the same length.
Math: GPT-6 Luna passed 4 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Luna answered 1.2× sooner at the median, 2.2 s against 2.7 s. GPT-6 Luna cost 8.9× less, $0.0005 against $0.0044 for the 5 replies. DeepSeek V4 Pro's replies ran 19% longer, in tokens of reply, thinking not counted.
Coding: GPT-6 Luna passed 5 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Luna answered 26.2× sooner at the median, 4.6 s against 119.6 s. GPT-6 Luna cost 83.7× less, $0.0014 against $0.1200 for the 5 replies. DeepSeek V4 Pro's replies ran 13% longer, in tokens of reply, thinking not counted.
SQL: GPT-6 Luna passed 5 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Luna answered 6.7× sooner at the median, 1.2 s against 8.0 s. GPT-6 Luna cost 22.8× less, $0.0004 against $0.0101 for the 5 replies. Their replies ran to about the same length.
Translation: GPT-6 Luna passed 5 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Luna answered 2.7× sooner at the median, 1.6 s against 4.3 s. GPT-6 Luna cost 21.5× less, $0.0005 against $0.0100 for the 5 replies. DeepSeek V4 Pro's replies ran 14% longer, in tokens of reply, thinking not counted.
Customer support: GPT-6 Luna passed 4 of 5 and DeepSeek V4 Pro 4 of 5. GPT-6 Luna answered 2.9× sooner at the median, 1.4 s against 4.1 s. GPT-6 Luna cost 17.8× less, $0.0004 against $0.0077 for the 5 replies. DeepSeek V4 Pro's replies ran 61% longer, in tokens of reply, thinking not counted.
Data analysis: GPT-6 Luna passed 5 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Luna answered 1.6× sooner at the median, 2.5 s against 4.1 s. GPT-6 Luna cost 16.3× less, $0.0009 against $0.0143 for the 5 replies. DeepSeek V4 Pro's replies ran 66% longer, in tokens of reply, thinking not counted.
Writing: GPT-6 Luna passed 5 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Luna answered 1.6× sooner at the median, 2.4 s against 3.9 s. GPT-6 Luna cost 10.8× less, $0.0005 against $0.0054 for the 5 replies. Their replies ran to about the same length.
Agents and tool use: GPT-6 Luna passed 5 of 5 and DeepSeek V4 Pro 5 of 5. DeepSeek V4 Pro answered 1.2× sooner at the median, 1.9 s against 1.6 s. GPT-6 Luna cost 8.1× less, $0.0004 against $0.0033 for the 5 replies. DeepSeek V4 Pro's replies ran 20% longer, in tokens of reply, thinking not counted.
RAG and answering from documents: GPT-6 Luna passed 5 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Luna answered 1.6× sooner at the median, 1.3 s against 2.1 s. GPT-6 Luna cost 7.8× less, $0.0004 against $0.0030 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, 1.7×took 2.3 s and 3.9 s | GPT-6 Luna, 17.4×cost $0.0001 and $0.0015 |
| Parse a duration like “1h 30m” | Both passed | GPT-6 Luna, 26.2×took 4.6 s and 119.6 s | GPT-6 Luna, 146.4×cost $0.0003 and $0.0366 |
| Merge overlapping intervals | Both passed | GPT-6 Luna, 4.6×took 1.5 s and 6.8 s | GPT-6 Luna, 19.1×cost $0.0001 and $0.0021 |
| Evaluate an arithmetic expression, no eval | Both passed | GPT-6 Luna, 16.5×took 8.8 s and 145.7 s | GPT-6 Luna, 78.9×cost $0.0006 and $0.0440 |
| Parse CSV with quoted fields | Both passed | GPT-6 Luna, 17.1×took 7.2 s and 122.3 s | GPT-6 Luna, 83.2×cost $0.0004 and $0.0357 |
| Announce a second bakery shop on LinkedIn | Both passed | GPT-6 Luna, 1.3×took 2.9 s and 3.9 s | GPT-6 Luna, 8.4×cost $0.0001 and $0.0010 |
| Rewrite corporate jargon in plain words | Both passed | GPT-6 Luna, 2.4×took 2.4 s and 5.8 s | GPT-6 Luna, 23.4×cost $0.0001 and $0.0024 |
| Decline a meeting and offer two times | Both passed | GPT-6 Luna, 2.6×took 1.3 s and 3.3 s | GPT-6 Luna, 8.3×cost $0.0001 and $0.0006 |
| A product announcement with five rules | Both passed | GPT-6 Luna, 1.2×took 1.5 s and 1.8 s | GPT-6 Luna, 6.5×cost $0.0001 and $0.0005 |
| Argue both sides of free buses | Both passed | GPT-6 Luna, 1.6×took 2.5 s and 4.1 s | GPT-6 Luna, 6.7×cost $0.0001 and $0.0009 |
| A discount, then sales tax | Both passed | DeepSeek V4 Pro, 1.8×took 3.1 s and 1.8 s | GPT-6 Luna, 6.8×cost $0.0001 and $0.0005 |
| Pens at 3 for $4 | Only DeepSeek V4 Pro | Closetook 2.9 s and 2.7 s | GPT-6 Luna, 7.5×cost $0.0001 and $0.0010 |
| Compound interest over three years | Both passed | GPT-6 Luna, 1.7×took 2.0 s and 3.4 s | GPT-6 Luna, 9.5×cost $0.0001 and $0.0008 |
| Four-digit numbers whose digits sum to 9 | Both passed | GPT-6 Luna, 2.0×took 2.0 s and 4.0 s | GPT-6 Luna, 11.7×cost $0.0001 and $0.0012 |
| The highest of three dice is a 5 | Both passed | GPT-6 Luna, 1.2×took 2.2 s and 2.5 s | GPT-6 Luna, 9.3×cost $0.0001 and $0.0009 |
| An article in three bullets | Only DeepSeek V4 Pro | GPT-6 Luna, 1.2×took 1.5 s and 1.8 s | GPT-6 Luna, 10.2×cost $0.0001 and $0.0010 |
| An email thread in one sentence | Both passed | GPT-6 Luna, 1.2×took 1.1 s and 1.2 s | GPT-6 Luna, 7.7×cost $0.0001 and $0.0005 |
| Decisions and action items from a meeting | Both passed | GPT-6 Luna, 3.6×took 1.5 s and 5.4 s | GPT-6 Luna, 10.7×cost $0.0001 and $0.0011 |
| A quarterly memo for the CEO | Both passed | GPT-6 Luna, 1.5×took 1.5 s and 2.3 s | GPT-6 Luna, 11.6×cost $0.0001 and $0.0014 |
| A study with a negative result | Both passed | GPT-6 Luna, 1.6×took 1.3 s and 2.1 s | GPT-6 Luna, 6.9×cost $0.0001 and $0.0005 |
| The region with the most revenue | Both passed | GPT-6 Luna, 1.6×took 2.5 s and 4.1 s | GPT-6 Luna, 14.9×cost $0.0001 and $0.0020 |
| Average order value in August | Both passed | DeepSeek V4 Pro, 1.2×took 2.6 s and 2.2 s | GPT-6 Luna, 9.1×cost $0.0001 and $0.0012 |
| Revenue change from July to August | Both passed | GPT-6 Luna, 2.1×took 2.5 s and 5.2 s | GPT-6 Luna, 15.2×cost $0.0001 and $0.0020 |
| A median, filtered two ways | Both passed | DeepSeek V4 Pro, 2.1×took 2.5 s and 1.2 s | GPT-6 Luna, 9.1×cost $0.0001 and $0.0011 |
| Correlation between ad spend and sign-ups | Both passed | GPT-6 Luna, 1.2×took 6.7 s and 8.1 s | GPT-6 Luna, 21.9×cost $0.0004 and $0.0081 |
| A late order | Both passed | GPT-6 Luna, 2.6×took 1.6 s and 4.1 s | GPT-6 Luna, 25.0×cost $0.0001 and $0.0023 |
| A return inside the window | Both passed | Closetook 1.2 s and 1.3 s | GPT-6 Luna, 7.9×cost $0.0001 and $0.0007 |
| A frustrated customer | Neither passed | GPT-6 Luna, 6.8×took 1.4 s and 9.5 s | GPT-6 Luna, 21.8×cost $0.0001 and $0.0018 |
| A refund request outside the window | Both passed | GPT-6 Luna, 1.9×took 1.3 s and 2.5 s | GPT-6 Luna, 14.6×cost $0.0001 and $0.0012 |
| A message with a planted instruction | Both passed | GPT-6 Luna, 4.4×took 1.5 s and 6.7 s | GPT-6 Luna, 18.9×cost $0.0001 and $0.0017 |
| A delivery message into Spanish | Both passed | GPT-6 Luna, 3.4×took 2.6 s and 8.8 s | GPT-6 Luna, 46.0×cost $0.0001 and $0.0044 |
| A product description into French | Both passed | Closetook 1.4 s and 1.3 s | GPT-6 Luna, 6.9×cost $0.0001 and $0.0006 |
| A meeting note into German | Both passed | GPT-6 Luna, 2.5×took 1.7 s and 4.3 s | GPT-6 Luna, 18.0×cost $0.0001 and $0.0015 |
| Idioms into natural Japanese | Both passed | GPT-6 Luna, 1.7×took 1.6 s and 2.7 s | GPT-6 Luna, 11.1×cost $0.0001 and $0.0011 |
| A lease clause into Brazilian Portuguese | Both passed | GPT-6 Luna, 10.9×took 1.5 s and 16.4 s | GPT-6 Luna, 24.8×cost $0.0001 and $0.0024 |
| Customers in one country | Both passed | GPT-6 Luna, 1.2×took 1.0 s and 1.2 s | GPT-6 Luna, 6.6×cost $0.0001 and $0.0004 |
| Count orders by status | Both passed | GPT-6 Luna, 1.2×took 0.9 s and 1.1 s | GPT-6 Luna, 7.0×cost $0.0001 and $0.0004 |
| Revenue by category | Both passed | GPT-6 Luna, 6.7×took 1.2 s and 8.0 s | GPT-6 Luna, 28.2×cost $0.0001 and $0.0025 |
| Every customer, even those without orders | Both passed | GPT-6 Luna, 4.3×took 2.4 s and 10.4 s | GPT-6 Luna, 32.7×cost $0.0001 and $0.0032 |
| Monthly revenue with a running total | Both passed | GPT-6 Luna, 9.1×took 1.8 s and 16.6 s | GPT-6 Luna, 26.0×cost $0.0001 and $0.0036 |
| A fact from one section | Both passed | DeepSeek V4 Pro, 1.2×took 1.3 s and 1.1 s | GPT-6 Luna, 6.7×cost $0.0001 and $0.0005 |
| Core hours and start times | Both passed | DeepSeek V4 Pro, 1.2×took 1.0 s and 0.8 s | GPT-6 Luna, 4.5×cost $0.0001 and $0.0004 |
| Two sections in one answer | Both passed | GPT-6 Luna, 1.5×took 1.4 s and 2.1 s | GPT-6 Luna, 9.7×cost $0.0001 and $0.0008 |
| A later amendment changes the answer | Both passed | GPT-6 Luna, 2.5×took 1.0 s and 2.5 s | GPT-6 Luna, 10.7×cost $0.0001 and $0.0009 |
| A question the handbook doesn't answer | Both passed | GPT-6 Luna, 4.5×took 1.9 s and 8.8 s | GPT-6 Luna, 7.3×cost $0.0001 and $0.0005 |
| Pick the tool and work out the date | Both passed | DeepSeek V4 Pro, 1.3×took 2.1 s and 1.6 s | GPT-6 Luna, 6.9×cost $0.0001 and $0.0005 |
| Convert a currency | Both passed | DeepSeek V4 Pro, 1.2×took 1.1 s and 0.9 s | GPT-6 Luna, 6.3×cost $0.0001 and $0.0004 |
| Book a meeting from a sentence | Both passed | GPT-6 Luna, 1.9×took 1.2 s and 2.3 s | GPT-6 Luna, 9.5×cost $0.0001 and $0.0008 |
| Search, but don't book | Both passed | DeepSeek V4 Pro, 1.5×took 2.2 s and 1.4 s | GPT-6 Luna, 8.0×cost $0.0001 and $0.0007 |
| Two calls with a unit conversion | Both passed | GPT-6 Luna, 1.9×took 1.9 s and 3.7 s | GPT-6 Luna, 9.1×cost $0.0001 and $0.0008 |
GPT-6 Luna vs DeepSeek V4 Pro in our test runs
GPT-6 Luna and DeepSeek V4 Pro 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 Luna | DeepSeek V4 Pro |
|---|---|---|
| Coding | 5 of 5 | 5 of 5 |
| Writing | 5 of 5 | 5 of 5 |
| Math | 4 of 5 | 5 of 5 |
| Summarization | 4 of 5 | 5 of 5 |
| Data analysis | 5 of 5 | 5 of 5 |
| Customer support | 4 of 5 | 4 of 5 |
| Translation | 5 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 | 47 of 50 · 1 message each · $0.0001 a reply | 49 of 50 · 1 message each · $0.0037 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, math: both replies to a prompt only one of them passed.
An everyday prompt: “Pens at 3 for $4”, in full.
GPT-6 Luna
Failed: Final answer 2 bundles and 4 singles for 12; expected 13.5.
For 10 pens, compare buying 0–3 bundles of 3: - 0 bundles: 10 singles = $15 - 1 bundle: 7 singles = $14.50 - 2 bundles: 4 singles = $12 - 3 bundles: 1 single = $13.50 Final answer: 2 bundles and 4 singles for $12
402 tokens in, 198 out (111 of them reasoning) · 2.9 s · $0.0001 · 1 message on Pro · answered by openai/gpt-6-luna via OpenAI ·
DeepSeek V4 Pro
Passed: Final answer 3 packs of 3 pens plus 1 single pen, costing 13.50: right.
Buy packs of 3 where possible. - 3 packs = 9 pens: 3 × $4 = $12 - 1 single pen: $1.50 - Total: $12 + $1.50 = $13.50 Other combinations cost more, so this is cheapest. Final answer: 3 packs of 3 pens plus 1 single pen, costing $13.50
414 tokens in, 232 out (147 of them reasoning) · 2.7 s · $0.0010 · 1 message on Pro · answered by deepseek/deepseek-v4-pro-0813 via Wafer ·
GPT-6 Luna and DeepSeek V4 Pro on every plan
Whether the one-time free trial reaches each model, then each paid plan's messages on it.
| Plan | Price | GPT-6 Luna | DeepSeek V4 Pro |
|---|---|---|---|
| Free | $0 | Not in the trial | Not in the trial |
| Plus | $10 a month | 30 a day | Up to 125 a month |
| Pro | $20 a month | 60 a day | Up to 250 a month |
| Max | $50 a month | 120 a day | Up to 800 a month |
| Ultra | $100 a month | 200 a day | Up to 1,800 a month |
| Studio | $200 a month | 200 a day | Up to 4,000 a month |
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: Plus $3.75, 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); DeepSeek V4 Pro draws on the monthly allowance (up to 250 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
DeepSeek V4 Pro doesn't read images. DeepSeek V4 Pro gets a PDF's text rather than the file itself.
On Free
Neither is in the free trial: both need a paid plan, from Plus.
Where messages go
GPT-6 Luna: Sent to OpenAI directly. DeepSeek V4 Pro: Served through OpenRouter, only by hosts that don't store or train on prompts. The maker's own endpoint is never asked.
Fact by fact
| Fact | GPT-6 Luna | DeepSeek V4 Pro |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Reads images | Yes | No |
| PDFs | Whole file | Text only |
| Reasoning | Yes | Yes |
| API price (October 2026) | $0.10 in / $0.50 out per million tokens | $0.40 in / $4.00 out per million tokens |
| A typical message at API prices (4,000 tokens in, 700 out) | $0.0008 | $0.0044 |
| A $10 top-up adds | Nothing: an everyday model's count is daily | 200 messages |
| Where a message goes | Sent to OpenAI directly. | Served through OpenRouter, only by hosts that don't store or train on prompts. The maker's own endpoint is never asked. |
| 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 Luna through OpenRouter instead. | When one host is down, OpenRouter moves the request to another host that meets the same rules. |
| Anthropic's safety fallback | Doesn't apply | Doesn't apply |
GPT-6 Luna or DeepSeek V4 Pro?
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; it reads images; it reads a PDF as the whole file, charts and scans included.
Each model's page, the families, and other pairs
GPT-6 Luna vs DeepSeek V4 Pro is one pair of models. The page below covers the whole families.
- GPT-6 Luna: price, limits and messages on every plan
- DeepSeek V4 Pro: price, limits and messages on every plan
- DeepSeek vs ChatGPT
- Claude Haiku 5.5 vs GPT-6 Luna
- GPT-6 Luna vs DeepSeek V4.1 Flash
- GPT-6 Sol vs GPT-6 Luna
- Claude Opus 5.5 vs DeepSeek V4 Pro
- DeepSeek V4 Pro vs Kimi K3
- DeepSeek V4 Pro vs GLM 5.3
- Every model-vs-model page
GPT-6 Luna is a GPT model; DeepSeek V4 Pro is a DeepSeek model.
Questions
Is GPT-6 Luna or DeepSeek V4 Pro cheaper in llmwise?
GPT-6 Luna is an everyday model (60 messages a day on Pro); DeepSeek V4 Pro draws on the monthly allowance (up to 250 messages a month on Pro). Every paid plan's monthly allowance is shared by the models on it, so each count is the most you get if it all goes to that model.
Can I try GPT-6 Luna and DeepSeek V4 Pro for free?
Neither is in the free trial of 5 messages: both need a paid plan, from Plus.
Which has the bigger context window, GPT-6 Luna or DeepSeek V4 Pro?
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 Luna and DeepSeek V4 Pro in the same chat?
Yes. Pick GPT-6 Luna for one message and DeepSeek V4 Pro for the next; the second sees the whole chat, including the first one's answer.
Which did better in your test runs, GPT-6 Luna or DeepSeek V4 Pro?
On the same 50 prompts, run on October 8, 2026, GPT-6 Luna passed 47 and DeepSeek V4 Pro passed 49. The table on this page has each job, and every reply is published.
Claude, GPT, Gemini, DeepSeek, Grok, Kimi, GLM, and Mistral, 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.