Model vs model
DeepSeek V4 Pro vs GLM 5.3 Flash
DeepSeek V4 Pro and GLM 5.3 Flash 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 DeepSeek V4 Pro page, OpenRouter's GLM 5.3 Flash page. Updated .
Short answer
GLM 5.3 Flash 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 GLM 5.3 Flash reads images. In our test runs, DeepSeek V4 Pro passed 49 of the 50 prompts both answered and GLM 5.3 Flash 40; 9 prompts split them, most on writing (5 to 2).
DeepSeek V4 Pro vs GLM 5.3 Flash, prompt by prompt
Every prompt DeepSeek V4 Pro and GLM 5.3 Flash 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 40, only DeepSeek V4 Pro passed 9, only GLM 5.3 Flash passed 0, and neither passed 1. DeepSeek V4 Pro answered sooner on 27 of the 50 and GLM 5.3 Flash on 19; the rest were within 10% of each other. The 50 replies cost $0.1827 on DeepSeek V4 Pro and $0.0096 on GLM 5.3 Flash: 19.0× less on GLM 5.3 Flash.
The 9 prompts only one of DeepSeek V4 Pro and GLM 5.3 Flash passed
Rewrite corporate jargon in plain words (writing): DeepSeek V4 Pro passed and GLM 5.3 Flash didn't. DeepSeek V4 Pro: Graded 4.3 of 5 on average (lowest 4). GLM 5.3 Flash: Graded 3.3 of 5 on average (lowest 3).
A product announcement with five rules (writing): DeepSeek V4 Pro passed and GLM 5.3 Flash didn't. DeepSeek V4 Pro: Graded 4.3 of 5 on average (lowest 4). GLM 5.3 Flash: Graded 3.3 of 5 on average (lowest 3).
Argue both sides of free buses (writing): DeepSeek V4 Pro passed and GLM 5.3 Flash didn't. DeepSeek V4 Pro: Graded 4.7 of 5 on average (lowest 4). GLM 5.3 Flash: Graded 4.7 of 5 on average (lowest 4); but a paragraph of 92 words, over the 90 allowed.
An article in three bullets (summarization): DeepSeek V4 Pro passed and GLM 5.3 Flash didn't. DeepSeek V4 Pro: Graded 4.3 of 5 on average (lowest 4). GLM 5.3 Flash: Graded 4.7 of 5 on average (lowest 4); but 61 words, over the 60 allowed.
An email thread in one sentence (summarization): DeepSeek V4 Pro passed and GLM 5.3 Flash didn't. DeepSeek V4 Pro: Graded 4.7 of 5 on average (lowest 4). GLM 5.3 Flash: Graded 3.7 of 5 on average (lowest 3).
Correlation between ad spend and sign-ups (data analysis): DeepSeek V4 Pro passed and GLM 5.3 Flash didn't. DeepSeek V4 Pro: Final answer 0.97: right. GLM 5.3 Flash: Final answer 0.99; expected 0.97.
A late order (customer support): DeepSeek V4 Pro passed and GLM 5.3 Flash didn't. DeepSeek V4 Pro: Graded 4.7 of 5 on average (lowest 4). GLM 5.3 Flash: Graded 3.7 of 5 on average (lowest 3).
A refund request outside the window (customer support): DeepSeek V4 Pro passed and GLM 5.3 Flash didn't. DeepSeek V4 Pro: Graded 4.7 of 5 on average (lowest 4). GLM 5.3 Flash: Graded 4.0 of 5 on average (lowest 2).
Book a meeting from a sentence (agents and tool use): DeepSeek V4 Pro passed and GLM 5.3 Flash didn't. DeepSeek V4 Pro: Made the 1 expected call. GLM 5.3 Flash: Expected create_event(attendees: ["priya@northwind.test"], duration_minutes: 30, start: "2026-10-08T15:00", title: {"contains":"Q4"}); got find_contact(name: "Priya Shah"); create_event(title: "Q4 plan review", start: "2026-10-08T15:00", duration_minutes: 30, attendees: ["priya@northwind.test"]).
Job by job, the widest gaps first
Writing: DeepSeek V4 Pro passed 5 of 5 and GLM 5.3 Flash 2 of 5. DeepSeek V4 Pro answered 2.2× sooner at the median, 3.9 s against 8.5 s. GLM 5.3 Flash cost 3.3× less, $0.0054 against $0.0016 for the 5 replies. GLM 5.3 Flash's replies ran 34% longer, in tokens of reply, thinking not counted.
Summarization: DeepSeek V4 Pro passed 5 of 5 and GLM 5.3 Flash 3 of 5. DeepSeek V4 Pro answered 1.9× sooner at the median, 2.1 s against 4.0 s. GLM 5.3 Flash cost 8.0× less, $0.0046 against $0.0006 for the 5 replies. GLM 5.3 Flash's replies ran 13% longer, in tokens of reply, thinking not counted.
Customer support: DeepSeek V4 Pro passed 4 of 5 and GLM 5.3 Flash 2 of 5. DeepSeek V4 Pro answered 1.5× sooner at the median, 4.1 s against 6.2 s. GLM 5.3 Flash cost 7.9× less, $0.0077 against $0.0010 for the 5 replies. GLM 5.3 Flash's replies ran 52% longer, in tokens of reply, thinking not counted.
Data analysis: DeepSeek V4 Pro passed 5 of 5 and GLM 5.3 Flash 4 of 5. DeepSeek V4 Pro answered 2.4× sooner at the median, 4.1 s against 9.8 s. GLM 5.3 Flash cost 7.4× less, $0.0143 against $0.0019 for the 5 replies. GLM 5.3 Flash's replies ran 130% longer, in tokens of reply, thinking not counted.
Agents and tool use: DeepSeek V4 Pro passed 5 of 5 and GLM 5.3 Flash 4 of 5. DeepSeek V4 Pro answered 2.0× sooner at the median, 1.6 s against 3.2 s. GLM 5.3 Flash cost 5.1× less, $0.0033 against $0.0006 for the 5 replies. Their replies ran to about the same length.
Coding: DeepSeek V4 Pro passed 5 of 5 and GLM 5.3 Flash 5 of 5. GLM 5.3 Flash answered 14.3× sooner at the median, 119.6 s against 8.4 s. GLM 5.3 Flash cost 94.9× less, $0.1200 against $0.0013 for the 5 replies. Their replies ran to about the same length.
Translation: DeepSeek V4 Pro passed 5 of 5 and GLM 5.3 Flash 5 of 5. Their median waits were close, 4.3 s against 4.1 s. GLM 5.3 Flash cost 20.2× less, $0.0100 against $0.0005 for the 5 replies. Their replies ran to about the same length.
SQL: DeepSeek V4 Pro passed 5 of 5 and GLM 5.3 Flash 5 of 5. GLM 5.3 Flash answered 5.5× sooner at the median, 8.0 s against 1.4 s. GLM 5.3 Flash cost 15.7× less, $0.0101 against $0.0006 for the 5 replies. DeepSeek V4 Pro's replies ran 17% longer, in tokens of reply, thinking not counted.
Math: DeepSeek V4 Pro passed 5 of 5 and GLM 5.3 Flash 5 of 5. Their median waits were close, 2.7 s against 2.7 s. GLM 5.3 Flash cost 5.8× less, $0.0044 against $0.0008 for the 5 replies. GLM 5.3 Flash's replies ran 23% longer, in tokens of reply, thinking not counted.
RAG and answering from documents: DeepSeek V4 Pro passed 5 of 5 and GLM 5.3 Flash 5 of 5. Their median waits were close, 2.1 s against 2.2 s. GLM 5.3 Flash cost 3.9× less, $0.0030 against $0.0008 for the 5 replies. GLM 5.3 Flash's replies ran 95% 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 | GLM 5.3 Flash, 1.5×took 3.9 s and 2.6 s | GLM 5.3 Flash, 22.0×cost $0.0015 and $0.0001 |
| Parse a duration like “1h 30m” | Both passed | GLM 5.3 Flash, 14.6×took 119.6 s and 8.2 s | GLM 5.3 Flash, 106.2×cost $0.0366 and $0.0003 |
| Merge overlapping intervals | Both passed | DeepSeek V4 Pro, 1.4×took 6.8 s and 9.6 s | GLM 5.3 Flash, 8.7×cost $0.0021 and $0.0002 |
| Evaluate an arithmetic expression, no eval | Both passed | GLM 5.3 Flash, 13.2×took 145.7 s and 11.1 s | GLM 5.3 Flash, 125.4×cost $0.0440 and $0.0004 |
| Parse CSV with quoted fields | Both passed | GLM 5.3 Flash, 14.6×took 122.3 s and 8.4 s | GLM 5.3 Flash, 137.0×cost $0.0357 and $0.0003 |
| Announce a second bakery shop on LinkedIn | Both passed | DeepSeek V4 Pro, 10.1×took 3.9 s and 39.6 s | DeepSeek V4 Pro, 1.1×cost $0.0010 and $0.0011 |
| Rewrite corporate jargon in plain words | Only DeepSeek V4 Pro | GLM 5.3 Flash, 1.2×took 5.8 s and 4.9 s | GLM 5.3 Flash, 25.1×cost $0.0024 and $0.0001 |
| Decline a meeting and offer two times | Both passed | DeepSeek V4 Pro, 1.6×took 3.3 s and 5.3 s | GLM 5.3 Flash, 3.9×cost $0.0006 and $0.0002 |
| A product announcement with five rules | Only DeepSeek V4 Pro | DeepSeek V4 Pro, 4.6×took 1.8 s and 8.5 s | GLM 5.3 Flash, 3.4×cost $0.0005 and $0.0001 |
| Argue both sides of free buses | Only DeepSeek V4 Pro | DeepSeek V4 Pro, 2.7×took 4.1 s and 11.2 s | GLM 5.3 Flash, 6.0×cost $0.0009 and $0.0001 |
| A discount, then sales tax | Both passed | DeepSeek V4 Pro, 1.3×took 1.8 s and 2.4 s | GLM 5.3 Flash, 5.8×cost $0.0005 and $0.0001 |
| Pens at 3 for $4 | Both passed | DeepSeek V4 Pro, 5.4×took 2.7 s and 14.6 s | GLM 5.3 Flash, 3.8×cost $0.0010 and $0.0003 |
| Compound interest over three years | Both passed | DeepSeek V4 Pro, 1.4×took 3.4 s and 4.9 s | GLM 5.3 Flash, 4.8×cost $0.0008 and $0.0002 |
| Four-digit numbers whose digits sum to 9 | Both passed | GLM 5.3 Flash, 1.5×took 4.0 s and 2.7 s | GLM 5.3 Flash, 9.7×cost $0.0012 and $0.0001 |
| The highest of three dice is a 5 | Both passed | GLM 5.3 Flash, 2.7×took 2.5 s and 0.9 s | GLM 5.3 Flash, 8.3×cost $0.0009 and $0.0001 |
| An article in three bullets | Only DeepSeek V4 Pro | DeepSeek V4 Pro, 2.2×took 1.8 s and 4.0 s | GLM 5.3 Flash, 10.1×cost $0.0010 and $0.0001 |
| An email thread in one sentence | Only DeepSeek V4 Pro | DeepSeek V4 Pro, 3.2×took 1.2 s and 4.0 s | GLM 5.3 Flash, 3.6×cost $0.0005 and $0.0001 |
| Decisions and action items from a meeting | Both passed | GLM 5.3 Flash, 2.8×took 5.4 s and 1.9 s | GLM 5.3 Flash, 12.5×cost $0.0011 and $0.0001 |
| A quarterly memo for the CEO | Both passed | DeepSeek V4 Pro, 3.6×took 2.3 s and 8.3 s | GLM 5.3 Flash, 9.5×cost $0.0014 and $0.0001 |
| A study with a negative result | Both passed | DeepSeek V4 Pro, 1.8×took 2.1 s and 3.7 s | GLM 5.3 Flash, 6.0×cost $0.0005 and $0.0001 |
| The region with the most revenue | Both passed | DeepSeek V4 Pro, 2.2×took 4.1 s and 8.8 s | GLM 5.3 Flash, 3.8×cost $0.0020 and $0.0005 |
| Average order value in August | Both passed | DeepSeek V4 Pro, 6.7×took 2.2 s and 14.5 s | GLM 5.3 Flash, 3.2×cost $0.0012 and $0.0004 |
| Revenue change from July to August | Both passed | DeepSeek V4 Pro, 1.9×took 5.2 s and 9.8 s | GLM 5.3 Flash, 5.4×cost $0.0020 and $0.0004 |
| A median, filtered two ways | Both passed | DeepSeek V4 Pro, 3.2×took 1.2 s and 3.7 s | GLM 5.3 Flash, 8.8×cost $0.0011 and $0.0001 |
| Correlation between ad spend and sign-ups | Only DeepSeek V4 Pro | DeepSeek V4 Pro, 2.4×took 8.1 s and 19.4 s | GLM 5.3 Flash, 14.9×cost $0.0081 and $0.0005 |
| A late order | Only DeepSeek V4 Pro | DeepSeek V4 Pro, 1.5×took 4.1 s and 6.2 s | GLM 5.3 Flash, 8.9×cost $0.0023 and $0.0003 |
| A return inside the window | Both passed | DeepSeek V4 Pro, 4.7×took 1.3 s and 6.2 s | GLM 5.3 Flash, 3.0×cost $0.0007 and $0.0002 |
| A frustrated customer | Neither passed | GLM 5.3 Flash, 1.4×took 9.5 s and 6.8 s | GLM 5.3 Flash, 11.7×cost $0.0018 and $0.0002 |
| A refund request outside the window | Only DeepSeek V4 Pro | Closetook 2.5 s and 2.4 s | GLM 5.3 Flash, 7.5×cost $0.0012 and $0.0002 |
| A message with a planted instruction | Both passed | GLM 5.3 Flash, 1.3×took 6.7 s and 5.2 s | GLM 5.3 Flash, 9.6×cost $0.0017 and $0.0002 |
| A delivery message into Spanish | Both passed | GLM 5.3 Flash, 2.2×took 8.8 s and 3.9 s | GLM 5.3 Flash, 46.3×cost $0.0044 and $0.0001 |
| A product description into French | Both passed | DeepSeek V4 Pro, 3.0×took 1.3 s and 4.1 s | GLM 5.3 Flash, 7.0×cost $0.0006 and $0.0001 |
| A meeting note into German | Both passed | Closetook 4.3 s and 4.2 s | GLM 5.3 Flash, 19.1×cost $0.0015 and $0.0001 |
| Idioms into natural Japanese | Both passed | DeepSeek V4 Pro, 1.8×took 2.7 s and 4.8 s | GLM 5.3 Flash, 12.7×cost $0.0011 and $0.0001 |
| A lease clause into Brazilian Portuguese | Both passed | GLM 5.3 Flash, 12.2×took 16.4 s and 1.3 s | GLM 5.3 Flash, 16.5×cost $0.0024 and $0.0001 |
| Customers in one country | Both passed | Closetook 1.2 s and 1.2 s | GLM 5.3 Flash, 3.0×cost $0.0004 and $0.0001 |
| Count orders by status | Both passed | DeepSeek V4 Pro, 2.0×took 1.1 s and 2.1 s | GLM 5.3 Flash, 3.1×cost $0.0004 and $0.0001 |
| Revenue by category | Both passed | GLM 5.3 Flash, 3.1×took 8.0 s and 2.6 s | GLM 5.3 Flash, 22.4×cost $0.0025 and $0.0001 |
| Every customer, even those without orders | Both passed | GLM 5.3 Flash, 10.5×took 10.4 s and 1.0 s | GLM 5.3 Flash, 27.8×cost $0.0032 and $0.0001 |
| Monthly revenue with a running total | Both passed | GLM 5.3 Flash, 11.5×took 16.6 s and 1.4 s | GLM 5.3 Flash, 22.9×cost $0.0036 and $0.0002 |
| A fact from one section | Both passed | GLM 5.3 Flash, 1.5×took 1.1 s and 0.7 s | GLM 5.3 Flash, 2.5×cost $0.0005 and $0.0002 |
| Core hours and start times | Both passed | DeepSeek V4 Pro, 4.7×took 0.8 s and 3.9 s | GLM 5.3 Flash, 1.6×cost $0.0004 and $0.0002 |
| Two sections in one answer | Both passed | GLM 5.3 Flash, 1.1×took 2.1 s and 1.9 s | GLM 5.3 Flash, 7.5×cost $0.0008 and $0.0001 |
| A later amendment changes the answer | Both passed | GLM 5.3 Flash, 1.1×took 2.5 s and 2.2 s | GLM 5.3 Flash, 6.2×cost $0.0009 and $0.0001 |
| A question the handbook doesn't answer | Both passed | GLM 5.3 Flash, 3.0×took 8.8 s and 2.9 s | GLM 5.3 Flash, 5.3×cost $0.0005 and $0.0001 |
| Pick the tool and work out the date | Both passed | DeepSeek V4 Pro, 2.0×took 1.6 s and 3.2 s | GLM 5.3 Flash, 9.1×cost $0.0005 and $0.0001 |
| Convert a currency | Both passed | DeepSeek V4 Pro, 3.3×took 0.9 s and 3.0 s | GLM 5.3 Flash, 2.8×cost $0.0004 and $0.0001 |
| Book a meeting from a sentence | Only DeepSeek V4 Pro | DeepSeek V4 Pro, 2.9×took 2.3 s and 6.8 s | GLM 5.3 Flash, 5.1×cost $0.0008 and $0.0002 |
| Search, but don't book | Both passed | DeepSeek V4 Pro, 1.6×took 1.4 s and 2.3 s | GLM 5.3 Flash, 8.6×cost $0.0007 and $0.0001 |
| Two calls with a unit conversion | Both passed | Closetook 3.7 s and 3.4 s | GLM 5.3 Flash, 4.3×cost $0.0008 and $0.0002 |
DeepSeek V4 Pro vs GLM 5.3 Flash in our test runs
DeepSeek V4 Pro and GLM 5.3 Flash 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 | DeepSeek V4 Pro | GLM 5.3 Flash |
|---|---|---|
| Coding | 5 of 5 | 5 of 5 |
| Writing | 5 of 5 | 2 of 5 |
| Math | 5 of 5 | 5 of 5 |
| Summarization | 5 of 5 | 3 of 5 |
| Data analysis | 5 of 5 | 4 of 5 |
| Customer support | 4 of 5 | 2 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 | 4 of 5 |
| All jobs | 49 of 50 · 1 message each · $0.0037 a reply | 40 of 50 · 1 message each · $0.0002 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.
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 ·
GLM 5.3 Flash
Failed: Graded 3.3 of 5 on average (lowest 3).
In Q3, teams from across the company worked together on an initiative that put customers first. The result: customer retention improved by 12%, and the rate at which enterprise customers left fell by 30 basis points. We also adjusted our customer contact channels—like phone, email, and chat—so each team could focus on what it does best.
435 tokens in, 124 out (51 of them reasoning) · 4.9 s · $0.0001 · 1 message on Pro · answered by z-ai/glm-5.3-flash via AtlasCloud ·
DeepSeek V4 Pro and GLM 5.3 Flash on every plan
Whether the one-time free trial reaches each model, then each paid plan's messages on it.
| Plan | Price | DeepSeek V4 Pro | GLM 5.3 Flash |
|---|---|---|---|
| Free | $0 | Not in the trial | Not in the trial |
| Plus | $10 a month | Up to 125 a month | 30 a day |
| Pro | $20 a month | Up to 250 a month | 60 a day |
| Max | $50 a month | Up to 800 a month | 120 a day |
| Ultra | $100 a month | Up to 1,800 a month | 200 a day |
| Studio | $200 a month | Up to 4,000 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: 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
GLM 5.3 Flash 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 and GLM 5.3 Flash get 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
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. GLM 5.3 Flash: 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 | DeepSeek V4 Pro | GLM 5.3 Flash |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Reads images | No | Yes |
| PDFs | Text only | Text only |
| Reasoning | Yes | Yes |
| API price (October 2026) | $0.40 in / $4.00 out per million tokens | $0.15 in / $0.50 out per million tokens |
| A typical message at API prices (4,000 tokens in, 700 out) | $0.0044 | $0.0010 |
| A $10 top-up adds | 200 messages | Nothing: an everyday model's count is daily |
| Where a message goes | Served through OpenRouter, only by hosts that don't store or train on prompts. The maker's own endpoint is never asked. | 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 | When one host is down, OpenRouter moves the request to another host that meets the same rules. | 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 |
DeepSeek V4 Pro or GLM 5.3 Flash?
From the facts above and our test runs: the rest is how their answers suit your work, which one chat can show you.
Pick GLM 5.3 Flash: 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.
Each model's page, the families, and other pairs
DeepSeek V4 Pro vs GLM 5.3 Flash is one pair of models. The page below covers the whole families.
- DeepSeek V4 Pro: price, limits and messages on every plan
- GLM 5.3 Flash: price, limits and messages on every plan
- DeepSeek vs GLM
- Claude Opus 5.5 vs DeepSeek V4 Pro
- DeepSeek V4 Pro vs Kimi K3
- DeepSeek V4 Pro vs GLM 5.3
- Claude Haiku 5.5 vs GLM 5.3 Flash
- GLM 5.3 vs GLM 5.3 Flash
- Claude Haiku 4.5 vs GLM 5.3 Flash
- Every model-vs-model page
DeepSeek V4 Pro is a DeepSeek model; GLM 5.3 Flash is a GLM model.
Questions
Is DeepSeek V4 Pro or GLM 5.3 Flash cheaper in llmwise?
GLM 5.3 Flash 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 DeepSeek V4 Pro and GLM 5.3 Flash for free?
Neither is in the free trial of 5 messages: both need a paid plan, from Plus.
Which has the bigger context window, DeepSeek V4 Pro or GLM 5.3 Flash?
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 DeepSeek V4 Pro and GLM 5.3 Flash in the same chat?
Yes. Pick DeepSeek V4 Pro for one message and GLM 5.3 Flash for the next; the second sees the whole chat, including the first one's answer.
Which did better in your test runs, DeepSeek V4 Pro or GLM 5.3 Flash?
On the same 50 prompts, run on October 8, 2026, DeepSeek V4 Pro passed 49 and GLM 5.3 Flash passed 40. 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.