Model vs model
GPT-6 Sol vs DeepSeek V4 Pro
GPT-6 Sol 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 Sol page, OpenRouter's DeepSeek V4 Pro page. Updated .
Short answer
DeepSeek V4 Pro gets twice as many messages: up to 250 messages a month on Pro, against up to 125 messages a month for GPT-6 Sol. Otherwise, only GPT-6 Sol reads images and only GPT-6 Sol reads a PDF as the whole file. In our test runs, GPT-6 Sol passed 45 of the 50 prompts both answered and DeepSeek V4 Pro 49; 4 prompts split them, most on writing (4 to 5).
GPT-6 Sol vs DeepSeek V4 Pro, prompt by prompt
Every prompt GPT-6 Sol 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 45, only GPT-6 Sol passed 0, only DeepSeek V4 Pro passed 4, and neither passed 1. GPT-6 Sol answered sooner on 32 of the 50 and DeepSeek V4 Pro on 12; the rest were within 10% of each other. The 50 replies cost $0.1297 on GPT-6 Sol and $0.1827 on DeepSeek V4 Pro: 1.4× less on GPT-6 Sol.
The 4 prompts only one of GPT-6 Sol and DeepSeek V4 Pro passed
Rewrite corporate jargon in plain words (writing): DeepSeek V4 Pro passed and GPT-6 Sol didn't. GPT-6 Sol: Graded 3.7 of 5 on average (lowest 3). DeepSeek V4 Pro: Graded 4.3 of 5 on average (lowest 4).
An article in three bullets (summarization): DeepSeek V4 Pro passed and GPT-6 Sol didn't. GPT-6 Sol: Graded 4.0 of 5 on average (lowest 3); but 66 words, over the 60 allowed. DeepSeek V4 Pro: Graded 4.3 of 5 on average (lowest 4).
A late order (customer support): DeepSeek V4 Pro passed and GPT-6 Sol didn't. GPT-6 Sol: Graded 3.7 of 5 on average (lowest 1). DeepSeek V4 Pro: Graded 4.7 of 5 on average (lowest 4).
Idioms into natural Japanese (translation): DeepSeek V4 Pro 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. DeepSeek V4 Pro: Back-translation chrF 0.63 (pass at 0.4).
Job by job, the widest gaps first
Summarization: GPT-6 Sol passed 4 of 5 and DeepSeek V4 Pro 5 of 5. Their median waits were close, 2.0 s against 2.1 s. DeepSeek V4 Pro cost 2.4× less, $0.0110 against $0.0046 for the 5 replies. GPT-6 Sol's replies ran 11% longer, in tokens of reply, thinking not counted.
Writing: GPT-6 Sol passed 4 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Sol answered 1.1× sooner at the median, 3.5 s against 3.9 s. DeepSeek V4 Pro cost 2.1× less, $0.0113 against $0.0054 for the 5 replies. Their replies ran to about the same length.
Customer support: GPT-6 Sol passed 3 of 5 and DeepSeek V4 Pro 4 of 5. GPT-6 Sol answered 1.3× sooner at the median, 3.2 s against 4.1 s. DeepSeek V4 Pro cost 1.9× less, $0.0146 against $0.0077 for the 5 replies. DeepSeek V4 Pro's replies ran 27% longer, in tokens of reply, thinking not counted.
Translation: GPT-6 Sol passed 4 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Sol answered 1.3× sooner at the median, 3.2 s against 4.3 s. DeepSeek V4 Pro cost 1.4× less, $0.0140 against $0.0100 for the 5 replies. Their replies ran to about the same length.
Coding: GPT-6 Sol passed 5 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Sol answered 24.9× sooner at the median, 4.8 s against 119.6 s. GPT-6 Sol cost 4.6× less, $0.0262 against $0.1200 for the 5 replies. DeepSeek V4 Pro's replies ran 23% longer, in tokens of reply, thinking not counted.
RAG and answering from documents: GPT-6 Sol passed 5 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Sol answered 1.9× sooner at the median, 1.1 s against 2.1 s. DeepSeek V4 Pro cost 2.7× less, $0.0081 against $0.0030 for the 5 replies. Their replies ran to about the same length.
Agents and tool use: GPT-6 Sol 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. DeepSeek V4 Pro cost 2.5× less, $0.0081 against $0.0033 for the 5 replies. DeepSeek V4 Pro's replies ran 20% longer, in tokens of reply, thinking not counted.
Math: GPT-6 Sol passed 5 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Sol answered 1.2× sooner at the median, 2.2 s against 2.7 s. DeepSeek V4 Pro cost 2.1× less, $0.0090 against $0.0044 for the 5 replies. DeepSeek V4 Pro's replies ran 16% longer, in tokens of reply, thinking not counted.
Data analysis: GPT-6 Sol passed 5 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Sol answered 1.5× sooner at the median, 2.8 s against 4.1 s. DeepSeek V4 Pro cost 1.2× less, $0.0169 against $0.0143 for the 5 replies. DeepSeek V4 Pro's replies ran 53% longer, in tokens of reply, thinking not counted.
SQL: GPT-6 Sol passed 5 of 5 and DeepSeek V4 Pro 5 of 5. GPT-6 Sol answered 6.0× sooner at the median, 1.3 s against 8.0 s. They cost about the same, $0.0104 against $0.0101 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 Sol, 1.2×took 3.3 s and 3.9 s | DeepSeek V4 Pro, 1.9×cost $0.0028 and $0.0015 |
| Parse a duration like “1h 30m” | Both passed | GPT-6 Sol, 24.9×took 4.8 s and 119.6 s | GPT-6 Sol, 8.7×cost $0.0042 and $0.0366 |
| Merge overlapping intervals | Both passed | GPT-6 Sol, 4.1×took 1.7 s and 6.8 s | Closecost $0.0022 and $0.0021 |
| Evaluate an arithmetic expression, no eval | Both passed | GPT-6 Sol, 14.9×took 9.7 s and 145.7 s | GPT-6 Sol, 4.9×cost $0.0089 and $0.0440 |
| Parse CSV with quoted fields | Both passed | GPT-6 Sol, 13.7×took 8.9 s and 122.3 s | GPT-6 Sol, 4.4×cost $0.0081 and $0.0357 |
| Announce a second bakery shop on LinkedIn | Both passed | GPT-6 Sol, 1.1×took 3.5 s and 3.9 s | DeepSeek V4 Pro, 2.8×cost $0.0027 and $0.0010 |
| Rewrite corporate jargon in plain words | Only DeepSeek V4 Pro | GPT-6 Sol, 1.2×took 5.0 s and 5.8 s | DeepSeek V4 Pro, 1.4×cost $0.0033 and $0.0024 |
| Decline a meeting and offer two times | Both passed | GPT-6 Sol, 2.4×took 1.3 s and 3.3 s | DeepSeek V4 Pro, 2.4×cost $0.0014 and $0.0006 |
| A product announcement with five rules | Both passed | GPT-6 Sol, 1.1×took 1.6 s and 1.8 s | DeepSeek V4 Pro, 2.9×cost $0.0014 and $0.0005 |
| Argue both sides of free buses | Both passed | Closetook 4.2 s and 4.1 s | DeepSeek V4 Pro, 2.8×cost $0.0025 and $0.0009 |
| A discount, then sales tax | Both passed | Closetook 1.7 s and 1.8 s | DeepSeek V4 Pro, 2.5×cost $0.0013 and $0.0005 |
| Pens at 3 for $4 | Both passed | DeepSeek V4 Pro, 1.2×took 3.3 s and 2.7 s | DeepSeek V4 Pro, 2.3×cost $0.0024 and $0.0010 |
| Compound interest over three years | Both passed | GPT-6 Sol, 2.4×took 1.4 s and 3.4 s | DeepSeek V4 Pro, 1.9×cost $0.0014 and $0.0008 |
| Four-digit numbers whose digits sum to 9 | Both passed | GPT-6 Sol, 1.6×took 2.5 s and 4.0 s | DeepSeek V4 Pro, 1.6×cost $0.0019 and $0.0012 |
| The highest of three dice is a 5 | Both passed | GPT-6 Sol, 1.2×took 2.2 s and 2.5 s | DeepSeek V4 Pro, 2.2×cost $0.0020 and $0.0009 |
| An article in three bullets | Only DeepSeek V4 Pro | DeepSeek V4 Pro, 1.1×took 2.0 s and 1.8 s | DeepSeek V4 Pro, 2.0×cost $0.0020 and $0.0010 |
| An email thread in one sentence | Both passed | DeepSeek V4 Pro, 1.6×took 2.0 s and 1.2 s | DeepSeek V4 Pro, 2.6×cost $0.0014 and $0.0005 |
| Decisions and action items from a meeting | Both passed | GPT-6 Sol, 1.6×took 3.5 s and 5.4 s | DeepSeek V4 Pro, 3.1×cost $0.0034 and $0.0011 |
| A quarterly memo for the CEO | Both passed | DeepSeek V4 Pro, 1.2×took 2.6 s and 2.3 s | DeepSeek V4 Pro, 1.7×cost $0.0024 and $0.0014 |
| A study with a negative result | Both passed | GPT-6 Sol, 1.3×took 1.7 s and 2.1 s | DeepSeek V4 Pro, 3.2×cost $0.0017 and $0.0005 |
| The region with the most revenue | Both passed | GPT-6 Sol, 1.4×took 2.8 s and 4.1 s | DeepSeek V4 Pro, 1.3×cost $0.0026 and $0.0020 |
| Average order value in August | Both passed | DeepSeek V4 Pro, 1.3×took 2.8 s and 2.2 s | DeepSeek V4 Pro, 2.1×cost $0.0025 and $0.0012 |
| Revenue change from July to August | Both passed | GPT-6 Sol, 1.9×took 2.8 s and 5.2 s | DeepSeek V4 Pro, 1.2×cost $0.0025 and $0.0020 |
| A median, filtered two ways | Both passed | DeepSeek V4 Pro, 2.2×took 2.5 s and 1.2 s | DeepSeek V4 Pro, 2.3×cost $0.0024 and $0.0011 |
| Correlation between ad spend and sign-ups | Both passed | GPT-6 Sol, 1.2×took 6.6 s and 8.1 s | GPT-6 Sol, 1.2×cost $0.0069 and $0.0081 |
| A late order | Only DeepSeek V4 Pro | GPT-6 Sol, 1.3×took 3.2 s and 4.1 s | Closecost $0.0025 and $0.0023 |
| A return inside the window | Both passed | Closetook 1.5 s and 1.3 s | DeepSeek V4 Pro, 2.5×cost $0.0017 and $0.0007 |
| A frustrated customer | Neither passed | GPT-6 Sol, 1.6×took 5.9 s and 9.5 s | DeepSeek V4 Pro, 2.4×cost $0.0043 and $0.0018 |
| A refund request outside the window | Both passed | DeepSeek V4 Pro, 1.2×took 3.0 s and 2.5 s | DeepSeek V4 Pro, 2.0×cost $0.0025 and $0.0012 |
| A message with a planted instruction | Both passed | GPT-6 Sol, 1.5×took 4.4 s and 6.7 s | DeepSeek V4 Pro, 2.2×cost $0.0037 and $0.0017 |
| A delivery message into Spanish | Both passed | GPT-6 Sol, 2.7×took 3.2 s and 8.8 s | GPT-6 Sol, 1.7×cost $0.0026 and $0.0044 |
| A product description into French | Both passed | DeepSeek V4 Pro, 1.6×took 2.1 s and 1.3 s | DeepSeek V4 Pro, 2.9×cost $0.0019 and $0.0006 |
| A meeting note into German | Both passed | DeepSeek V4 Pro, 1.2×took 5.0 s and 4.3 s | DeepSeek V4 Pro, 2.4×cost $0.0035 and $0.0015 |
| Idioms into natural Japanese | Only DeepSeek V4 Pro | GPT-6 Sol, 1.1×took 2.4 s and 2.7 s | DeepSeek V4 Pro, 1.9×cost $0.0021 and $0.0011 |
| A lease clause into Brazilian Portuguese | Both passed | GPT-6 Sol, 3.5×took 4.6 s and 16.4 s | DeepSeek V4 Pro, 1.7×cost $0.0040 and $0.0024 |
| Customers in one country | Both passed | Closetook 1.1 s and 1.2 s | DeepSeek V4 Pro, 3.1×cost $0.0012 and $0.0004 |
| Count orders by status | Both passed | Closetook 1.1 s and 1.1 s | DeepSeek V4 Pro, 3.0×cost $0.0012 and $0.0004 |
| Revenue by category | Both passed | GPT-6 Sol, 6.0×took 1.3 s and 8.0 s | GPT-6 Sol, 1.4×cost $0.0018 and $0.0025 |
| Every customer, even those without orders | Both passed | GPT-6 Sol, 7.3×took 1.4 s and 10.4 s | GPT-6 Sol, 1.7×cost $0.0018 and $0.0032 |
| Monthly revenue with a running total | Both passed | GPT-6 Sol, 3.7×took 4.5 s and 16.6 s | DeepSeek V4 Pro, 1.2×cost $0.0043 and $0.0036 |
| A fact from one section | Both passed | Closetook 1.1 s and 1.1 s | DeepSeek V4 Pro, 3.0×cost $0.0015 and $0.0005 |
| Core hours and start times | Both passed | DeepSeek V4 Pro, 1.3×took 1.1 s and 0.8 s | DeepSeek V4 Pro, 4.4×cost $0.0016 and $0.0004 |
| Two sections in one answer | Both passed | GPT-6 Sol, 1.7×took 1.2 s and 2.1 s | DeepSeek V4 Pro, 2.1×cost $0.0016 and $0.0008 |
| A later amendment changes the answer | Both passed | GPT-6 Sol, 1.3×took 2.0 s and 2.5 s | DeepSeek V4 Pro, 2.3×cost $0.0020 and $0.0009 |
| A question the handbook doesn't answer | Both passed | GPT-6 Sol, 9.4×took 0.9 s and 8.8 s | DeepSeek V4 Pro, 2.7×cost $0.0014 and $0.0005 |
| Pick the tool and work out the date | Both passed | DeepSeek V4 Pro, 1.3×took 2.2 s and 1.6 s | DeepSeek V4 Pro, 3.0×cost $0.0016 and $0.0005 |
| Convert a currency | Both passed | DeepSeek V4 Pro, 2.0×took 1.8 s and 0.9 s | DeepSeek V4 Pro, 2.9×cost $0.0012 and $0.0004 |
| Book a meeting from a sentence | Both passed | GPT-6 Sol, 1.3×took 1.9 s and 2.3 s | DeepSeek V4 Pro, 2.5×cost $0.0021 and $0.0008 |
| Search, but don't book | Both passed | GPT-6 Sol, 1.3×took 1.1 s and 1.4 s | DeepSeek V4 Pro, 2.0×cost $0.0014 and $0.0007 |
| Two calls with a unit conversion | Both passed | GPT-6 Sol, 1.3×took 2.8 s and 3.7 s | DeepSeek V4 Pro, 2.2×cost $0.0018 and $0.0008 |
GPT-6 Sol vs DeepSeek V4 Pro in our test runs
GPT-6 Sol 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 Sol | DeepSeek V4 Pro |
|---|---|---|
| Coding | 5 of 5 | 5 of 5 |
| Writing | 4 of 5 | 5 of 5 |
| Math | 5 of 5 | 5 of 5 |
| Summarization | 4 of 5 | 5 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 | 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, 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 ·
DeepSeek V4 Pro
Passed: Graded 4.3 of 5 on average (lowest 4).
In the third quarter, our teams worked together to focus more on customers. This produced a 12% increase in customer retention and a 0.30 percentage point drop in churn among business customers. We also fine-tuned our various customer contact channels to use resources more efficiently.
431 tokens in, 576 out (518 of them reasoning) · 5.8 s · $0.0024 · 1 message on Pro · answered by deepseek/deepseek-v4-pro-0813 via Wafer ·
GPT-6 Sol 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 Sol | DeepSeek V4 Pro |
|---|---|---|---|
| Free | $0 | Not in the trial | Not in the trial |
| Plus | $10 a month | Up to 62 a month | Up to 125 a month |
| Pro | $20 a month | Up to 125 a month | Up to 250 a month |
| Max | $50 a month | Up to 400 a month | Up to 800 a month |
| Ultra | $100 a month | Up to 900 a month | Up to 1,800 a month |
| Studio | $200 a month | Up to 2,000 a month | 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
DeepSeek V4 Pro gets twice as many messages: up to 250 messages a month on Pro, against up to 125 messages a month for GPT-6 Sol.
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 Sol: 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 Sol | 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) | $2.00 in / $10.00 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) | $0.0150 | $0.0044 |
| A $10 top-up adds | 100 messages | 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 Sol 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 Sol 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 Sol: it reads images; it reads a PDF as the whole file, charts and scans included.
Pick DeepSeek V4 Pro: more messages for the money, up to 250 messages a month on Pro.
Each model's page, the families, and other pairs
GPT-6 Sol vs DeepSeek V4 Pro is one pair of models. The page below covers the whole families.
- GPT-6 Sol: price, limits and messages on every plan
- DeepSeek V4 Pro: price, limits and messages on every plan
- DeepSeek vs ChatGPT
- Claude Sonnet 5.5 vs GPT-6 Sol
- GPT-6.1 Sol vs GPT-6 Sol
- Claude Opus 5.5 vs GPT-6 Sol
- 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 Sol is a GPT model; DeepSeek V4 Pro is a DeepSeek model.
Questions
Is GPT-6 Sol or DeepSeek V4 Pro cheaper in llmwise?
DeepSeek V4 Pro gets twice as many messages: up to 250 messages a month on Pro, against up to 125 messages a month for GPT-6 Sol. 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 Sol 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 Sol 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 Sol and DeepSeek V4 Pro in the same chat?
Yes. Pick GPT-6 Sol 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 Sol or DeepSeek V4 Pro?
On the same 50 prompts, run on October 8, 2026, GPT-6 Sol passed 45 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.