Model vs model
DeepSeek V4.1 Flash vs GLM 5.3 Flash
DeepSeek V4.1 Flash 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 V4.1 Flash page, OpenRouter's GLM 5.3 Flash page. Updated .
Short answer
Both are everyday models: each message comes from Pro's 60 a day, so they cost the same. Beyond that, they read the same files and neither is easier to try. In our test runs, DeepSeek V4.1 Flash passed 49 of the 50 prompts both answered and GLM 5.3 Flash 40; 9 prompts split them, most on customer support (5 to 2).
DeepSeek V4.1 Flash vs GLM 5.3 Flash, prompt by prompt
Every prompt DeepSeek V4.1 Flash 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 V4.1 Flash passed 9, only GLM 5.3 Flash passed 0, and neither passed 1. DeepSeek V4.1 Flash answered sooner on 36 of the 50 and GLM 5.3 Flash on 10; the rest were within 10% of each other. The 50 replies cost $0.0172 on DeepSeek V4.1 Flash and $0.0096 on GLM 5.3 Flash: 1.8× less on GLM 5.3 Flash.
The 9 prompts only one of DeepSeek V4.1 Flash and GLM 5.3 Flash passed
A product announcement with five rules (writing): DeepSeek V4.1 Flash passed and GLM 5.3 Flash didn't. DeepSeek V4.1 Flash: 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 V4.1 Flash passed and GLM 5.3 Flash didn't. DeepSeek V4.1 Flash: Graded 4.3 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 V4.1 Flash passed and GLM 5.3 Flash didn't. DeepSeek V4.1 Flash: Graded 4.7 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 V4.1 Flash passed and GLM 5.3 Flash didn't. DeepSeek V4.1 Flash: 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 V4.1 Flash passed and GLM 5.3 Flash didn't. DeepSeek V4.1 Flash: Final answer 0.97: right. GLM 5.3 Flash: Final answer 0.99; expected 0.97.
A late order (customer support): DeepSeek V4.1 Flash passed and GLM 5.3 Flash didn't. DeepSeek V4.1 Flash: Graded 4.0 of 5 on average (lowest 4). GLM 5.3 Flash: Graded 3.7 of 5 on average (lowest 3).
A frustrated customer (customer support): DeepSeek V4.1 Flash passed and GLM 5.3 Flash didn't. DeepSeek V4.1 Flash: Graded 4.7 of 5 on average (lowest 4). GLM 5.3 Flash: Graded 4.0 of 5 on average (lowest 3); but 158 words, over the 150 allowed.
A refund request outside the window (customer support): DeepSeek V4.1 Flash passed and GLM 5.3 Flash didn't. DeepSeek V4.1 Flash: 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 V4.1 Flash passed and GLM 5.3 Flash didn't. DeepSeek V4.1 Flash: 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
Customer support: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 Flash 2 of 5. DeepSeek V4.1 Flash answered 2.5× sooner at the median, 2.5 s against 6.2 s. GLM 5.3 Flash cost 1.5× less, $0.0014 against $0.0010 for the 5 replies. Their replies ran to about the same length.
Summarization: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 Flash 3 of 5. DeepSeek V4.1 Flash answered 2.6× sooner at the median, 1.5 s against 4.0 s. GLM 5.3 Flash cost 1.5× less, $0.0008 against $0.0006 for the 5 replies. Their replies ran to about the same length.
Writing: DeepSeek V4.1 Flash passed 4 of 5 and GLM 5.3 Flash 2 of 5. DeepSeek V4.1 Flash answered 2.8× sooner at the median, 3.1 s against 8.5 s. DeepSeek V4.1 Flash cost 1.1× less, $0.0014 against $0.0016 for the 5 replies. GLM 5.3 Flash's replies ran 13% longer, in tokens of reply, thinking not counted.
Agents and tool use: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 Flash 4 of 5. DeepSeek V4.1 Flash answered 2.3× sooner at the median, 1.4 s against 3.2 s. GLM 5.3 Flash cost 1.4× less, $0.0009 against $0.0006 for the 5 replies. Their replies ran to about the same length.
Data analysis: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 Flash 4 of 5. DeepSeek V4.1 Flash answered 3.3× sooner at the median, 3.0 s against 9.8 s. GLM 5.3 Flash cost 1.3× less, $0.0026 against $0.0019 for the 5 replies. GLM 5.3 Flash's replies ran 54% longer, in tokens of reply, thinking not counted.
Coding: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 Flash 5 of 5. Their median waits were close, 7.8 s against 8.4 s. GLM 5.3 Flash cost 4.3× less, $0.0054 against $0.0013 for the 5 replies. DeepSeek V4.1 Flash's replies ran 34% longer, in tokens of reply, thinking not counted.
Translation: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 Flash 5 of 5. DeepSeek V4.1 Flash answered 2.3× sooner at the median, 1.8 s against 4.1 s. GLM 5.3 Flash cost 3.0× less, $0.0015 against $0.0005 for the 5 replies. DeepSeek V4.1 Flash's replies ran 46% longer, in tokens of reply, thinking not counted.
Math: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 Flash 5 of 5. DeepSeek V4.1 Flash answered 1.6× sooner at the median, 1.7 s against 2.7 s. GLM 5.3 Flash cost 1.5× less, $0.0012 against $0.0008 for the 5 replies. Their replies ran to about the same length.
RAG and answering from documents: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 Flash 5 of 5. DeepSeek V4.1 Flash answered 2.0× sooner at the median, 1.1 s against 2.2 s. GLM 5.3 Flash cost 1.5× less, $0.0011 against $0.0008 for the 5 replies. DeepSeek V4.1 Flash's replies ran 11% longer, in tokens of reply, thinking not counted.
SQL: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 Flash 5 of 5. GLM 5.3 Flash answered 1.1× sooner at the median, 1.7 s against 1.4 s. GLM 5.3 Flash cost 1.3× less, $0.0008 against $0.0006 for the 5 replies. DeepSeek V4.1 Flash's replies ran 17% 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 V4.1 Flash, 1.4×took 1.9 s and 2.6 s | GLM 5.3 Flash, 3.7×cost $0.0002 and $0.0001 |
| Parse a duration like “1h 30m” | Both passed | Closetook 7.8 s and 8.2 s | GLM 5.3 Flash, 2.4×cost $0.0008 and $0.0003 |
| Merge overlapping intervals | Both passed | DeepSeek V4.1 Flash, 6.4×took 1.5 s and 9.6 s | DeepSeek V4.1 Flash, 1.7×cost $0.0001 and $0.0002 |
| Evaluate an arithmetic expression, no eval | Both passed | Closetook 10.4 s and 11.1 s | GLM 5.3 Flash, 8.1×cost $0.0028 and $0.0004 |
| Parse CSV with quoted fields | Both passed | GLM 5.3 Flash, 1.4×took 11.6 s and 8.4 s | GLM 5.3 Flash, 5.2×cost $0.0013 and $0.0003 |
| Announce a second bakery shop on LinkedIn | Both passed | DeepSeek V4.1 Flash, 13.5×took 2.9 s and 39.6 s | DeepSeek V4.1 Flash, 4.7×cost $0.0002 and $0.0011 |
| Rewrite corporate jargon in plain words | Neither passed | DeepSeek V4.1 Flash, 4.2×took 1.2 s and 4.9 s | GLM 5.3 Flash, 3.0×cost $0.0003 and $0.0001 |
| Decline a meeting and offer two times | Both passed | DeepSeek V4.1 Flash, 1.7×took 3.1 s and 5.3 s | GLM 5.3 Flash, 1.6×cost $0.0002 and $0.0002 |
| A product announcement with five rules | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 1.4×took 6.2 s and 8.5 s | GLM 5.3 Flash, 2.8×cost $0.0004 and $0.0001 |
| Argue both sides of free buses | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 2.8×took 3.9 s and 11.2 s | GLM 5.3 Flash, 1.7×cost $0.0003 and $0.0001 |
| A discount, then sales tax | Both passed | DeepSeek V4.1 Flash, 4.2×took 0.6 s and 2.4 s | GLM 5.3 Flash, 2.4×cost $0.0002 and $0.0001 |
| Pens at 3 for $4 | Both passed | GLM 5.3 Flash, 1.8×took 25.6 s and 14.6 s | GLM 5.3 Flash, 1.1×cost $0.0003 and $0.0003 |
| Compound interest over three years | Both passed | DeepSeek V4.1 Flash, 3.4×took 1.5 s and 4.9 s | GLM 5.3 Flash, 1.3×cost $0.0002 and $0.0002 |
| Four-digit numbers whose digits sum to 9 | Both passed | DeepSeek V4.1 Flash, 1.6×took 1.7 s and 2.7 s | GLM 5.3 Flash, 2.1×cost $0.0002 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, 1.7×cost $0.0002 and $0.0001 |
| An article in three bullets | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 1.6×took 2.5 s and 4.0 s | GLM 5.3 Flash, 3.0×cost $0.0003 and $0.0001 |
| An email thread in one sentence | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 2.8×took 1.4 s and 4.0 s | DeepSeek V4.1 Flash, 1.3×cost $0.0001 and $0.0001 |
| Decisions and action items from a meeting | Both passed | DeepSeek V4.1 Flash, 1.2×took 1.5 s and 1.9 s | GLM 5.3 Flash, 2.2×cost $0.0002 and $0.0001 |
| A quarterly memo for the CEO | Both passed | DeepSeek V4.1 Flash, 2.6×took 3.2 s and 8.3 s | DeepSeek V4.1 Flash, 2.1×cost $0.0001 and $0.0001 |
| A study with a negative result | Both passed | DeepSeek V4.1 Flash, 2.6×took 1.4 s and 3.7 s | GLM 5.3 Flash, 1.8×cost $0.0002 and $0.0001 |
| The region with the most revenue | Both passed | DeepSeek V4.1 Flash, 3.0×took 3.0 s and 8.8 s | DeepSeek V4.1 Flash, 1.2×cost $0.0004 and $0.0005 |
| Average order value in August | Both passed | DeepSeek V4.1 Flash, 7.3×took 2.0 s and 14.5 s | DeepSeek V4.1 Flash, 1.3×cost $0.0003 and $0.0004 |
| Revenue change from July to August | Both passed | Closetook 10.2 s and 9.8 s | DeepSeek V4.1 Flash, 1.2×cost $0.0003 and $0.0004 |
| A median, filtered two ways | Both passed | DeepSeek V4.1 Flash, 2.4×took 1.6 s and 3.7 s | GLM 5.3 Flash, 2.1×cost $0.0002 and $0.0001 |
| Correlation between ad spend and sign-ups | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 4.1×took 4.8 s and 19.4 s | GLM 5.3 Flash, 2.3×cost $0.0013 and $0.0005 |
| A late order | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 2.5×took 2.5 s and 6.2 s | GLM 5.3 Flash, 1.4×cost $0.0004 and $0.0003 |
| A return inside the window | Both passed | DeepSeek V4.1 Flash, 1.9×took 3.3 s and 6.2 s | Closecost $0.0002 and $0.0002 |
| A frustrated customer | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 1.8×took 3.8 s and 6.8 s | GLM 5.3 Flash, 2.2×cost $0.0003 and $0.0002 |
| A refund request outside the window | Only DeepSeek V4.1 Flash | Closetook 2.3 s and 2.4 s | GLM 5.3 Flash, 1.7×cost $0.0003 and $0.0002 |
| A message with a planted instruction | Both passed | DeepSeek V4.1 Flash, 2.1×took 2.4 s and 5.2 s | GLM 5.3 Flash, 1.4×cost $0.0003 and $0.0002 |
| A delivery message into Spanish | Both passed | DeepSeek V4.1 Flash, 2.9×took 1.3 s and 3.9 s | GLM 5.3 Flash, 2.2×cost $0.0002 and $0.0001 |
| A product description into French | Both passed | DeepSeek V4.1 Flash, 2.4×took 1.7 s and 4.1 s | GLM 5.3 Flash, 1.9×cost $0.0002 and $0.0001 |
| A meeting note into German | Both passed | DeepSeek V4.1 Flash, 2.3×took 1.8 s and 4.2 s | GLM 5.3 Flash, 2.0×cost $0.0001 and $0.0001 |
| Idioms into natural Japanese | Both passed | DeepSeek V4.1 Flash, 1.3×took 3.8 s and 4.8 s | GLM 5.3 Flash, 3.7×cost $0.0003 and $0.0001 |
| A lease clause into Brazilian Portuguese | Both passed | GLM 5.3 Flash, 3.0×took 4.0 s and 1.3 s | GLM 5.3 Flash, 4.5×cost $0.0007 and $0.0001 |
| Customers in one country | Both passed | DeepSeek V4.1 Flash, 1.2×took 1.0 s and 1.2 s | Closecost $0.0001 and $0.0001 |
| Count orders by status | Both passed | DeepSeek V4.1 Flash, 2.2×took 1.0 s and 2.1 s | Closecost $0.0001 and $0.0001 |
| Revenue by category | Both passed | GLM 5.3 Flash, 1.1×took 2.9 s and 2.6 s | DeepSeek V4.1 Flash, 1.3×cost $0.0001 and $0.0001 |
| Every customer, even those without orders | Both passed | GLM 5.3 Flash, 1.7×took 1.7 s and 1.0 s | GLM 5.3 Flash, 1.9×cost $0.0002 and $0.0001 |
| Monthly revenue with a running total | Both passed | GLM 5.3 Flash, 1.8×took 2.6 s and 1.4 s | GLM 5.3 Flash, 1.7×cost $0.0003 and $0.0002 |
| A fact from one section | Both passed | GLM 5.3 Flash, 1.3×took 0.9 s and 0.7 s | DeepSeek V4.1 Flash, 1.3×cost $0.0002 and $0.0002 |
| Core hours and start times | Both passed | DeepSeek V4.1 Flash, 3.9×took 1.0 s and 3.9 s | DeepSeek V4.1 Flash, 1.5×cost $0.0001 and $0.0002 |
| Two sections in one answer | Both passed | DeepSeek V4.1 Flash, 1.4×took 1.3 s and 1.9 s | GLM 5.3 Flash, 1.8×cost $0.0002 and $0.0001 |
| A later amendment changes the answer | Both passed | GLM 5.3 Flash, 1.4×took 3.2 s and 2.2 s | GLM 5.3 Flash, 3.7×cost $0.0005 and $0.0001 |
| A question the handbook doesn't answer | Both passed | DeepSeek V4.1 Flash, 2.7×took 1.1 s and 2.9 s | GLM 5.3 Flash, 1.4×cost $0.0001 and $0.0001 |
| Pick the tool and work out the date | Both passed | DeepSeek V4.1 Flash, 3.7×took 0.9 s and 3.2 s | GLM 5.3 Flash, 1.9×cost $0.0001 and $0.0001 |
| Convert a currency | Both passed | GLM 5.3 Flash, 3.0×took 8.8 s and 3.0 s | GLM 5.3 Flash, 1.3×cost $0.0002 and $0.0001 |
| Book a meeting from a sentence | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 5.0×took 1.4 s and 6.8 s | GLM 5.3 Flash, 1.4×cost $0.0002 and $0.0002 |
| Search, but don't book | Both passed | DeepSeek V4.1 Flash, 1.9×took 1.2 s and 2.3 s | GLM 5.3 Flash, 1.8×cost $0.0001 and $0.0001 |
| Two calls with a unit conversion | Both passed | DeepSeek V4.1 Flash, 1.7×took 2.0 s and 3.4 s | GLM 5.3 Flash, 1.2×cost $0.0002 and $0.0002 |
DeepSeek V4.1 Flash vs GLM 5.3 Flash in our test runs
DeepSeek V4.1 Flash 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 V4.1 Flash | GLM 5.3 Flash |
|---|---|---|
| Coding | 5 of 5 | 5 of 5 |
| Writing | 4 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 | 5 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 · $0.0003 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, customer support: both replies to a prompt only one of them passed.
An everyday prompt: “A late order”, in full.
DeepSeek V4.1 Flash
Passed: Graded 4.0 of 5 on average (lowest 4).
Hi there, Thanks for reaching out, and I'm sorry your rain jacket hasn't arrived yet. Standard delivery normally takes 3 to 5 business days, so your order is running later than expected. I've flagged it with our shipping team and will come back to you with an update as soon as I have one. If you'd like, I can also check whether a replacement can be sent. One note on our policy: free express shipping on your next order applies when a delivery runs more than 7 business days late. Your order is currently around 4 to 6 business days past the standard window, so it doesn't quite qualify yet — but if it remains undelivered past that mark, I'll add it to your account. Thanks for your patience, and sorry again for the wait. Sam, Northwind support
553 tokens in, 316 out (147 of them reasoning) · 2.5 s · $0.0004 · 1 message on Pro · answered by deepseek/deepseek-v4.1-flash via Novita ·
GLM 5.3 Flash
Failed: Graded 3.7 of 5 on average (lowest 3).
Dear customer, Thank you for reaching out, and I'm sorry your rain jacket hasn't arrived yet. That's certainly not the experience we want for you. Standard delivery normally takes 3–5 business days, and since your order is now 9 business days overdue, it has clearly been delayed. I apologize for the inconvenience. Because your order is more than 7 business days late, I'd be happy to add free express shipping to your next order as a gesture of apology. Just reply to this message or mention it when you place your next order, and we'll apply it. Please also keep an eye out for the package — if it hasn't arrived within the next few business days, contact us and we'll investigate with the carrier or arrange a replacement or refund. Thank you for your patience. Sam, Northwind support
530 tokens in, 259 out (90 of them reasoning) · 6.2 s · $0.0003 · 1 message on Pro · answered by z-ai/glm-5.3-flash via Wafer ·
DeepSeek V4.1 Flash 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 V4.1 Flash | GLM 5.3 Flash |
|---|---|---|---|
| Free | $0 | In the one-time trial of 5 messages | In the one-time trial of 5 messages |
| Pro | $20 a month | 60 a day | 60 a day |
| Max | $50 a month | 120 a day | 120 a day |
| Ultra | $100 a month | 200 a day | 200 a day |
| Studio | $200 a month | 200 a day | 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
Both are everyday models: each message comes from Pro's 60 a day, so they cost the same.
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. DeepSeek V4.1 Flash and GLM 5.3 Flash get a PDF's text rather than the file itself.
On Free
Both are in the free trial.
Where messages go
DeepSeek V4.1 Flash: 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 V4.1 Flash | GLM 5.3 Flash |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Reads images | Yes | Yes |
| PDFs | Text only | Text only |
| Reasoning | Yes | Yes |
| API price (September 2026) | $0.17 in / $0.60 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) | $0.0011 | $0.0010 |
| A $10 top-up adds | Nothing: an everyday model's count is daily | 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 V4.1 Flash 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: it costs its maker less to run ($0.0010 a typical message at API prices), though in llmwise the count is the same.
Each model's page, the families, and other pairs
DeepSeek V4.1 Flash vs GLM 5.3 Flash is one pair of models. The page below covers the whole families.
- DeepSeek V4.1 Flash: price, limits and messages on every plan
- GLM 5.3 Flash: price, limits and messages on every plan
- DeepSeek vs GLM
- Gemini 3.8 Flash vs DeepSeek V4.1 Flash
- GPT-6 Luna vs DeepSeek V4.1 Flash
- Claude Haiku 4.5 vs DeepSeek V4.1 Flash
- GLM 5.3 vs GLM 5.3 Flash
- Claude Haiku 4.5 vs GLM 5.3 Flash
- GPT-6 Luna vs GLM 5.3 Flash
- Every model-vs-model page
DeepSeek V4.1 Flash is a DeepSeek model; GLM 5.3 Flash is a GLM model.
Questions
Is DeepSeek V4.1 Flash or GLM 5.3 Flash cheaper in llmwise?
Both are everyday models: each message comes from Pro's 60 a day, so they cost the same. 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 DeepSeek V4.1 Flash and GLM 5.3 Flash for free?
Yes: both are in the free trial of 5 messages.
Which has the bigger context window, DeepSeek V4.1 Flash 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 V4.1 Flash and GLM 5.3 Flash in the same chat?
Yes. Pick DeepSeek V4.1 Flash 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 V4.1 Flash or GLM 5.3 Flash?
On the same 50 prompts, run on September 27, 2026, DeepSeek V4.1 Flash 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, 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.