Model vs model
Gemini 3.1 Pro (preview) vs DeepSeek V4 Pro
Gemini 3.1 Pro (preview) 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 Gemini 3.1 Pro 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 Gemini 3.1 Pro (preview). Otherwise, only Gemini 3.1 Pro (preview) reads images and only Gemini 3.1 Pro (preview) reads a PDF as the whole file. In our test runs, Gemini 3.1 Pro (preview) passed 49 of the 50 prompts both answered and DeepSeek V4 Pro 49; 2 prompts split them, most on writing (4 to 5).
Gemini 3.1 Pro (preview) vs DeepSeek V4 Pro, prompt by prompt
Every prompt Gemini 3.1 Pro (preview) 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 48, only Gemini 3.1 Pro (preview) passed 1, only DeepSeek V4 Pro passed 1, and neither passed 0. Gemini 3.1 Pro (preview) answered sooner on 7 of the 50 and DeepSeek V4 Pro on 41; the rest were within 10% of each other. The 50 replies cost $0.5334 on Gemini 3.1 Pro (preview) and $0.1827 on DeepSeek V4 Pro: 2.9× less on DeepSeek V4 Pro.
The 2 prompts only one of Gemini 3.1 Pro (preview) and DeepSeek V4 Pro passed
Argue both sides of free buses (writing): DeepSeek V4 Pro passed and Gemini 3.1 Pro (preview) didn't. Gemini 3.1 Pro (preview): Graded 3.7 of 5 on average (lowest 3). DeepSeek V4 Pro: Graded 4.7 of 5 on average (lowest 4).
A frustrated customer (customer support): Gemini 3.1 Pro (preview) passed and DeepSeek V4 Pro didn't. Gemini 3.1 Pro (preview): Graded 4.0 of 5 on average (lowest 3). DeepSeek V4 Pro: Graded 2.3 of 5 on average (lowest 1).
Job by job, the widest gaps first
Writing: Gemini 3.1 Pro (preview) passed 4 of 5 and DeepSeek V4 Pro 5 of 5. DeepSeek V4 Pro answered 2.3× sooner at the median, 9.1 s against 3.9 s. DeepSeek V4 Pro cost 8.6× less, $0.0459 against $0.0054 for the 5 replies. Gemini 3.1 Pro (preview)'s replies ran 26% longer, in tokens of reply, thinking not counted.
Customer support: Gemini 3.1 Pro (preview) passed 5 of 5 and DeepSeek V4 Pro 4 of 5. DeepSeek V4 Pro answered 2.1× sooner at the median, 8.7 s against 4.1 s. DeepSeek V4 Pro cost 6.9× less, $0.0529 against $0.0077 for the 5 replies. Gemini 3.1 Pro (preview)'s replies ran 22% longer, in tokens of reply, thinking not counted.
Math: Gemini 3.1 Pro (preview) passed 5 of 5 and DeepSeek V4 Pro 5 of 5. DeepSeek V4 Pro answered 3.1× sooner at the median, 8.3 s against 2.7 s. DeepSeek V4 Pro cost 11.4× less, $0.0501 against $0.0044 for the 5 replies. Gemini 3.1 Pro (preview)'s replies ran 168% longer, in tokens of reply, thinking not counted.
Summarization: Gemini 3.1 Pro (preview) passed 5 of 5 and DeepSeek V4 Pro 5 of 5. DeepSeek V4 Pro answered 3.8× sooner at the median, 8.0 s against 2.1 s. DeepSeek V4 Pro cost 9.7× less, $0.0441 against $0.0046 for the 5 replies. Their replies ran to about the same length.
RAG and answering from documents: Gemini 3.1 Pro (preview) passed 5 of 5 and DeepSeek V4 Pro 5 of 5. DeepSeek V4 Pro answered 2.7× sooner at the median, 5.6 s against 2.1 s. DeepSeek V4 Pro cost 9.6× less, $0.0290 against $0.0030 for the 5 replies. DeepSeek V4 Pro's replies ran 15% longer, in tokens of reply, thinking not counted.
Agents and tool use: Gemini 3.1 Pro (preview) passed 5 of 5 and DeepSeek V4 Pro 5 of 5. DeepSeek V4 Pro answered 3.3× sooner at the median, 5.3 s against 1.6 s. DeepSeek V4 Pro cost 8.6× less, $0.0284 against $0.0033 for the 5 replies. Gemini 3.1 Pro (preview)'s replies ran 59% longer, in tokens of reply, thinking not counted.
Translation: Gemini 3.1 Pro (preview) passed 5 of 5 and DeepSeek V4 Pro 5 of 5. DeepSeek V4 Pro answered 2.4× sooner at the median, 10.3 s against 4.3 s. DeepSeek V4 Pro cost 7.0× less, $0.0699 against $0.0100 for the 5 replies. DeepSeek V4 Pro's replies ran 11% longer, in tokens of reply, thinking not counted.
Data analysis: Gemini 3.1 Pro (preview) passed 5 of 5 and DeepSeek V4 Pro 5 of 5. DeepSeek V4 Pro answered 2.1× sooner at the median, 8.6 s against 4.1 s. DeepSeek V4 Pro cost 5.4× less, $0.0773 against $0.0143 for the 5 replies. Gemini 3.1 Pro (preview)'s replies ran 168% longer, in tokens of reply, thinking not counted.
SQL: Gemini 3.1 Pro (preview) passed 5 of 5 and DeepSeek V4 Pro 5 of 5. Their median waits were close, 7.4 s against 8.0 s. DeepSeek V4 Pro cost 3.8× less, $0.0386 against $0.0101 for the 5 replies. Their replies ran to about the same length.
Coding: Gemini 3.1 Pro (preview) passed 5 of 5 and DeepSeek V4 Pro 5 of 5. Gemini 3.1 Pro (preview) answered 11.7× sooner at the median, 10.3 s against 119.6 s. Gemini 3.1 Pro (preview) cost 1.2× less, $0.0973 against $0.1200 for the 5 replies. Gemini 3.1 Pro (preview)'s replies ran 14% longer, in tokens of reply, thinking not counted.
All 50 prompts: who passed, who answered sooner, who cost less
| Prompt | Result | Sooner | Cheaper |
|---|---|---|---|
| Turn a title into a URL slug | Both passed | DeepSeek V4 Pro, 1.5×took 6.0 s and 3.9 s | DeepSeek V4 Pro, 3.8×cost $0.0056 and $0.0015 |
| Parse a duration like “1h 30m” | Both passed | Gemini 3.1 Pro (preview), 11.7×took 10.3 s and 119.6 s | Gemini 3.1 Pro (preview), 2.1×cost $0.0172 and $0.0366 |
| Merge overlapping intervals | Both passed | DeepSeek V4 Pro, 1.3×took 8.6 s and 6.8 s | DeepSeek V4 Pro, 4.9×cost $0.0103 and $0.0021 |
| Evaluate an arithmetic expression, no eval | Both passed | Gemini 3.1 Pro (preview), 7.1×took 20.6 s and 145.7 s | Gemini 3.1 Pro (preview), 1.3×cost $0.0351 and $0.0440 |
| Parse CSV with quoted fields | Both passed | Gemini 3.1 Pro (preview), 5.9×took 20.6 s and 122.3 s | Gemini 3.1 Pro (preview), 1.2×cost $0.0291 and $0.0357 |
| Announce a second bakery shop on LinkedIn | Both passed | DeepSeek V4 Pro, 2.4×took 9.5 s and 3.9 s | DeepSeek V4 Pro, 11.9×cost $0.0113 and $0.0010 |
| Rewrite corporate jargon in plain words | Both passed | DeepSeek V4 Pro, 1.5×took 8.8 s and 5.8 s | DeepSeek V4 Pro, 4.1×cost $0.0101 and $0.0024 |
| Decline a meeting and offer two times | Both passed | DeepSeek V4 Pro, 1.9×took 6.2 s and 3.3 s | DeepSeek V4 Pro, 9.9×cost $0.0058 and $0.0006 |
| A product announcement with five rules | Both passed | DeepSeek V4 Pro, 5.0×took 9.2 s and 1.8 s | DeepSeek V4 Pro, 18.9×cost $0.0095 and $0.0005 |
| Argue both sides of free buses | Only DeepSeek V4 Pro | DeepSeek V4 Pro, 2.2×took 9.1 s and 4.1 s | DeepSeek V4 Pro, 10.5×cost $0.0092 and $0.0009 |
| A discount, then sales tax | Both passed | DeepSeek V4 Pro, 2.0×took 3.6 s and 1.8 s | DeepSeek V4 Pro, 8.3×cost $0.0042 and $0.0005 |
| Pens at 3 for $4 | Both passed | DeepSeek V4 Pro, 3.6×took 9.6 s and 2.7 s | DeepSeek V4 Pro, 11.6×cost $0.0121 and $0.0010 |
| Compound interest over three years | Both passed | DeepSeek V4 Pro, 1.8×took 6.2 s and 3.4 s | DeepSeek V4 Pro, 13.1×cost $0.0099 and $0.0008 |
| Four-digit numbers whose digits sum to 9 | Both passed | DeepSeek V4 Pro, 2.4×took 9.6 s and 4.0 s | DeepSeek V4 Pro, 12.7×cost $0.0150 and $0.0012 |
| The highest of three dice is a 5 | Both passed | DeepSeek V4 Pro, 3.3×took 8.3 s and 2.5 s | DeepSeek V4 Pro, 9.9×cost $0.0090 and $0.0009 |
| An article in three bullets | Both passed | DeepSeek V4 Pro, 4.5×took 8.0 s and 1.8 s | DeepSeek V4 Pro, 8.8×cost $0.0088 and $0.0010 |
| An email thread in one sentence | Both passed | DeepSeek V4 Pro, 5.2×took 6.3 s and 1.2 s | DeepSeek V4 Pro, 11.3×cost $0.0058 and $0.0005 |
| Decisions and action items from a meeting | Both passed | DeepSeek V4 Pro, 1.4×took 7.6 s and 5.4 s | DeepSeek V4 Pro, 7.4×cost $0.0081 and $0.0011 |
| A quarterly memo for the CEO | Both passed | DeepSeek V4 Pro, 4.9×took 11.2 s and 2.3 s | DeepSeek V4 Pro, 9.9×cost $0.0139 and $0.0014 |
| A study with a negative result | Both passed | DeepSeek V4 Pro, 3.9×took 8.2 s and 2.1 s | DeepSeek V4 Pro, 13.8×cost $0.0075 and $0.0005 |
| The region with the most revenue | Both passed | DeepSeek V4 Pro, 2.1×took 8.5 s and 4.1 s | DeepSeek V4 Pro, 6.0×cost $0.0117 and $0.0020 |
| Average order value in August | Both passed | DeepSeek V4 Pro, 4.0×took 8.6 s and 2.2 s | DeepSeek V4 Pro, 10.9×cost $0.0130 and $0.0012 |
| Revenue change from July to August | Both passed | DeepSeek V4 Pro, 1.7×took 9.0 s and 5.2 s | DeepSeek V4 Pro, 6.7×cost $0.0135 and $0.0020 |
| A median, filtered two ways | Both passed | DeepSeek V4 Pro, 6.0×took 7.1 s and 1.2 s | DeepSeek V4 Pro, 7.8×cost $0.0082 and $0.0011 |
| Correlation between ad spend and sign-ups | Both passed | DeepSeek V4 Pro, 2.0×took 16.5 s and 8.1 s | DeepSeek V4 Pro, 3.8×cost $0.0310 and $0.0081 |
| A late order | Both passed | DeepSeek V4 Pro, 2.1×took 8.7 s and 4.1 s | DeepSeek V4 Pro, 5.5×cost $0.0125 and $0.0023 |
| A return inside the window | Both passed | DeepSeek V4 Pro, 5.2×took 6.9 s and 1.3 s | DeepSeek V4 Pro, 11.3×cost $0.0076 and $0.0007 |
| A frustrated customer | Only Gemini 3.1 Pro (preview) | Closetook 9.8 s and 9.5 s | DeepSeek V4 Pro, 6.1×cost $0.0110 and $0.0018 |
| A refund request outside the window | Both passed | DeepSeek V4 Pro, 2.9×took 7.4 s and 2.5 s | DeepSeek V4 Pro, 8.4×cost $0.0103 and $0.0012 |
| A message with a planted instruction | Both passed | DeepSeek V4 Pro, 1.6×took 10.6 s and 6.7 s | DeepSeek V4 Pro, 6.8×cost $0.0116 and $0.0017 |
| A delivery message into Spanish | Both passed | DeepSeek V4 Pro, 1.3×took 11.8 s and 8.8 s | DeepSeek V4 Pro, 3.6×cost $0.0157 and $0.0044 |
| A product description into French | Both passed | DeepSeek V4 Pro, 6.8×took 9.1 s and 1.3 s | DeepSeek V4 Pro, 22.3×cost $0.0141 and $0.0006 |
| A meeting note into German | Both passed | DeepSeek V4 Pro, 3.0×took 13.0 s and 4.3 s | DeepSeek V4 Pro, 10.8×cost $0.0158 and $0.0015 |
| Idioms into natural Japanese | Both passed | DeepSeek V4 Pro, 3.8×took 10.3 s and 2.7 s | DeepSeek V4 Pro, 10.7×cost $0.0118 and $0.0011 |
| A lease clause into Brazilian Portuguese | Both passed | Gemini 3.1 Pro (preview), 2.0×took 8.1 s and 16.4 s | DeepSeek V4 Pro, 5.2×cost $0.0125 and $0.0024 |
| Customers in one country | Both passed | DeepSeek V4 Pro, 4.2×took 4.9 s and 1.2 s | DeepSeek V4 Pro, 7.4×cost $0.0029 and $0.0004 |
| Count orders by status | Both passed | DeepSeek V4 Pro, 4.6×took 5.0 s and 1.1 s | DeepSeek V4 Pro, 9.6×cost $0.0039 and $0.0004 |
| Revenue by category | Both passed | Closetook 7.4 s and 8.0 s | DeepSeek V4 Pro, 2.9×cost $0.0074 and $0.0025 |
| Every customer, even those without orders | Both passed | Gemini 3.1 Pro (preview), 1.3×took 7.9 s and 10.4 s | DeepSeek V4 Pro, 2.8×cost $0.0089 and $0.0032 |
| Monthly revenue with a running total | Both passed | Gemini 3.1 Pro (preview), 1.5×took 11.1 s and 16.6 s | DeepSeek V4 Pro, 4.3×cost $0.0155 and $0.0036 |
| A fact from one section | Both passed | DeepSeek V4 Pro, 5.0×took 5.3 s and 1.1 s | DeepSeek V4 Pro, 9.2×cost $0.0045 and $0.0005 |
| Core hours and start times | Both passed | DeepSeek V4 Pro, 7.0×took 5.8 s and 0.8 s | DeepSeek V4 Pro, 14.5×cost $0.0052 and $0.0004 |
| Two sections in one answer | Both passed | DeepSeek V4 Pro, 2.7×took 5.6 s and 2.1 s | DeepSeek V4 Pro, 6.2×cost $0.0047 and $0.0008 |
| A later amendment changes the answer | Both passed | DeepSeek V4 Pro, 3.4×took 8.6 s and 2.5 s | DeepSeek V4 Pro, 11.2×cost $0.0099 and $0.0009 |
| A question the handbook doesn't answer | Both passed | Gemini 3.1 Pro (preview), 1.6×took 5.6 s and 8.8 s | DeepSeek V4 Pro, 8.8×cost $0.0046 and $0.0005 |
| Pick the tool and work out the date | Both passed | DeepSeek V4 Pro, 2.6×took 4.3 s and 1.6 s | DeepSeek V4 Pro, 9.4×cost $0.0048 and $0.0005 |
| Convert a currency | Both passed | DeepSeek V4 Pro, 5.9×took 5.3 s and 0.9 s | DeepSeek V4 Pro, 10.6×cost $0.0044 and $0.0004 |
| Book a meeting from a sentence | Both passed | DeepSeek V4 Pro, 3.0×took 7.1 s and 2.3 s | DeepSeek V4 Pro, 8.1×cost $0.0068 and $0.0008 |
| Search, but don't book | Both passed | DeepSeek V4 Pro, 3.3×took 4.7 s and 1.4 s | DeepSeek V4 Pro, 9.0×cost $0.0061 and $0.0007 |
| Two calls with a unit conversion | Both passed | DeepSeek V4 Pro, 1.9×took 6.9 s and 3.7 s | DeepSeek V4 Pro, 7.5×cost $0.0063 and $0.0008 |
Gemini 3.1 Pro (preview) vs DeepSeek V4 Pro in our test runs
Gemini 3.1 Pro (preview) 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 | Gemini 3.1 Pro (preview) | 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 | 5 of 5 | 5 of 5 |
| Data analysis | 5 of 5 | 5 of 5 |
| Customer support | 5 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 | 49 of 50 · 1 message each · $0.0107 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.
A hard prompt: “Argue both sides of free buses”, in full.
Gemini 3.1 Pro
Failed: Graded 3.7 of 5 on average (lowest 3).
Making city buses free is a powerful catalyst for economic equality and environmental sustainability. By eliminating fares, cities immediately remove a significant financial burden from low-income residents, improving their access to jobs, education, and healthcare. Furthermore, free transit incentivizes people to leave their cars at home, dramatically reducing traffic congestion and cutting harmful greenhouse gas emissions. This shift not only improves urban air quality but also reduces the long-term wear and tear on city infrastructure, ultimately creating a cleaner, fairer, and more accessible environment for all residents. However, eliminating fares fundamentally undermines the financial stability and quality of the transit system itself. Fares provide crucial revenue required for essential maintenance, route expansion, and driver salaries. Without this income, cities are forced to either slash service frequencies and coverage or drastically raise local taxes to cover the deficit. Consequently, free transit often results in overcrowded, unreliable, and dilapidated buses. Passengers ultimately prioritize speed, safety, and reliability over zero cost; a free bus is useless to a commuter if it never arrives on time.
409 tokens in, 699 out (492 of them reasoning) · 9.1 s · $0.0092 · 1 message on Pro · answered by google/gemini-3.1-pro-preview via Google ·
DeepSeek V4 Pro
Passed: Graded 4.7 of 5 on average (lowest 4).
Making buses free turns public transit into a true public good, like sidewalks or libraries. It removes fares as a barrier for low-income riders, boosts ridership, cuts traffic congestion and emissions, and speeds boarding by eliminating payment delays. Cities already subsidize most transit costs; dropping the small fare share is a modest investment with outsized returns in mobility, equity, and cleaner air. The strongest case against free buses is that fares, however small, are the only direct signal of demand. Removing them invites overcrowding on popular routes while doing nothing to expand service where it is sparse. Scarce transit dollars are better spent on frequency, reliability, and coverage—improvements that actually attract riders—than on subsidizing trips for people who can already afford to pay.
395 tokens in, 193 out (40 of them reasoning) · 4.1 s · $0.0009 · 1 message on Pro · answered by deepseek/deepseek-v4-pro-0813 via Wafer ·
Gemini 3.1 Pro (preview) 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 | Gemini 3.1 Pro (preview) | DeepSeek V4 Pro |
|---|---|---|---|
| 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 | 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: 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 Gemini 3.1 Pro (preview).
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
Both are in the free trial.
Where messages go
Gemini 3.1 Pro (preview): Sent to Google 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 | Gemini 3.1 Pro (preview) | 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 / $12.00 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) | $0.0164 | $0.0044 |
| A $10 top-up adds | 100 messages | 200 messages |
| Where a message goes | Sent to Google 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 Google fails before the reply starts (an overload, a server error, a dropped connection), llmwise sends the same request to Gemini 3.1 Pro (preview) 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 |
Gemini 3.1 Pro (preview) 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 Gemini 3.1 Pro (preview): 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
Gemini 3.1 Pro (preview) vs DeepSeek V4 Pro is one pair of models. The page below covers the whole families.
- Gemini 3.1 Pro: price, limits and messages on every plan
- DeepSeek V4 Pro: price, limits and messages on every plan
- DeepSeek vs Gemini
- Claude Sonnet 5.5 vs Gemini 3.1 Pro (preview)
- Claude Opus 5.5 vs Gemini 3.1 Pro (preview)
- Claude Sonnet 5 vs Gemini 3.1 Pro (preview)
- 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
Gemini 3.1 Pro (preview) is a Gemini model; DeepSeek V4 Pro is a DeepSeek model.
Questions
Is Gemini 3.1 Pro (preview) 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 Gemini 3.1 Pro (preview). 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 Gemini 3.1 Pro (preview) and DeepSeek V4 Pro for free?
Yes: both are in the free trial of 5 messages.
Which has the bigger context window, Gemini 3.1 Pro (preview) 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 Gemini 3.1 Pro (preview) and DeepSeek V4 Pro in the same chat?
Yes. Pick Gemini 3.1 Pro (preview) 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, Gemini 3.1 Pro (preview) or DeepSeek V4 Pro?
On the same 50 prompts, run on October 8, 2026, Gemini 3.1 Pro (preview) passed 49 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.