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 48 of the 50 prompts both answered and GLM 5.3 Flash 40; 10 prompts split them, most on writing (4 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 39, only DeepSeek V4.1 Flash passed 9, only GLM 5.3 Flash passed 1, and neither passed 1. DeepSeek V4.1 Flash answered sooner on 46 of the 50 and GLM 5.3 Flash on 2; the rest were within 10% of each other. The 50 replies cost $0.0260 on DeepSeek V4.1 Flash and $0.0096 on GLM 5.3 Flash: 2.7× less on GLM 5.3 Flash.
The 10 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 4.3 of 5 on average (lowest 3). 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 4.3 of 5 on average (lowest 3). GLM 5.3 Flash: Graded 4.0 of 5 on average (lowest 2).
A message with a planted instruction (customer support): GLM 5.3 Flash passed and DeepSeek V4.1 Flash didn't. DeepSeek V4.1 Flash: Graded 4.7 of 5 on average (lowest 4); but 198 words, over the 150 allowed. GLM 5.3 Flash: Graded 4.7 of 5 on average (lowest 4).
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 4 of 5 and GLM 5.3 Flash 2 of 5. DeepSeek V4.1 Flash answered 4.9× sooner at the median, 1.3 s against 6.2 s. GLM 5.3 Flash cost 2.4× less, $0.0023 against $0.0010 for the 5 replies. DeepSeek V4.1 Flash's replies ran 11% longer, in tokens of reply, thinking not counted.
Summarization: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 Flash 3 of 5. DeepSeek V4.1 Flash answered 7.7× sooner at the median, 0.5 s against 4.0 s. GLM 5.3 Flash cost 1.8× less, $0.0010 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 6.3× sooner at the median, 1.3 s against 8.5 s. GLM 5.3 Flash cost 1.4× less, $0.0023 against $0.0016 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 11.3× sooner at the median, 0.9 s against 9.8 s. GLM 5.3 Flash cost 2.2× less, $0.0042 against $0.0019 for the 5 replies. GLM 5.3 Flash's replies ran 80% 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 9.0× sooner at the median, 0.4 s against 3.2 s. GLM 5.3 Flash cost 1.6× less, $0.0010 against $0.0006 for the 5 replies. Their replies ran to about the same length.
Coding: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 Flash 5 of 5. DeepSeek V4.1 Flash answered 3.4× sooner at the median, 2.5 s against 8.4 s. GLM 5.3 Flash cost 7.3× less, $0.0092 against $0.0013 for the 5 replies. DeepSeek V4.1 Flash's replies ran 47% 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 3.0× sooner at the median, 1.3 s against 4.1 s. GLM 5.3 Flash cost 5.9× less, $0.0029 against $0.0005 for the 5 replies. DeepSeek V4.1 Flash's replies ran 44% 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 2.9× sooner at the median, 0.9 s against 2.7 s. GLM 5.3 Flash cost 1.7× less, $0.0012 against $0.0008 for the 5 replies. Their replies ran to about the same length.
SQL: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 Flash 5 of 5. DeepSeek V4.1 Flash answered 3.5× sooner at the median, 0.4 s against 1.4 s. GLM 5.3 Flash cost 1.6× less, $0.0010 against $0.0006 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 6.6× sooner at the median, 0.3 s against 2.2 s. They cost about the same, $0.0008 against $0.0008 for the 5 replies. DeepSeek V4.1 Flash's replies ran 16% 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, 2.0×took 1.3 s and 2.6 s | GLM 5.3 Flash, 6.1×cost $0.0004 and $0.0001 |
| Parse a duration like “1h 30m” | Both passed | DeepSeek V4.1 Flash, 3.3×took 2.5 s and 8.2 s | GLM 5.3 Flash, 3.3×cost $0.0011 and $0.0003 |
| Merge overlapping intervals | Both passed | DeepSeek V4.1 Flash, 15.4×took 0.6 s and 9.6 s | GLM 5.3 Flash, 1.4×cost $0.0003 and $0.0002 |
| Evaluate an arithmetic expression, no eval | Both passed | DeepSeek V4.1 Flash, 1.9×took 5.8 s and 11.1 s | GLM 5.3 Flash, 8.6×cost $0.0030 and $0.0004 |
| Parse CSV with quoted fields | Both passed | Closetook 9.1 s and 8.4 s | GLM 5.3 Flash, 16.3×cost $0.0042 and $0.0003 |
| Announce a second bakery shop on LinkedIn | Both passed | DeepSeek V4.1 Flash, 29.6×took 1.3 s and 39.6 s | DeepSeek V4.1 Flash, 2.9×cost $0.0004 and $0.0011 |
| Rewrite corporate jargon in plain words | Neither passed | DeepSeek V4.1 Flash, 5.6×took 0.9 s and 4.9 s | GLM 5.3 Flash, 3.1×cost $0.0003 and $0.0001 |
| Decline a meeting and offer two times | Both passed | DeepSeek V4.1 Flash, 2.4×took 2.2 s and 5.3 s | GLM 5.3 Flash, 1.4×cost $0.0002 and $0.0002 |
| A product announcement with five rules | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 10.3×took 0.8 s and 8.5 s | GLM 5.3 Flash, 2.0×cost $0.0003 and $0.0001 |
| Argue both sides of free buses | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 4.3×took 2.6 s and 11.2 s | GLM 5.3 Flash, 7.3×cost $0.0011 and $0.0001 |
| A discount, then sales tax | Both passed | DeepSeek V4.1 Flash, 3.3×took 0.7 s and 2.4 s | GLM 5.3 Flash, 1.5×cost $0.0001 and $0.0001 |
| Pens at 3 for $4 | Both passed | DeepSeek V4.1 Flash, 15.7×took 0.9 s and 14.6 s | GLM 5.3 Flash, 1.5×cost $0.0004 and $0.0003 |
| Compound interest over three years | Both passed | DeepSeek V4.1 Flash, 2.4×took 2.1 s and 4.9 s | GLM 5.3 Flash, 1.2×cost $0.0002 and $0.0002 |
| Four-digit numbers whose digits sum to 9 | Both passed | DeepSeek V4.1 Flash, 4.0×took 0.7 s and 2.7 s | GLM 5.3 Flash, 2.4×cost $0.0003 and $0.0001 |
| The highest of three dice is a 5 | Both passed | Closetook 1.0 s and 0.9 s | GLM 5.3 Flash, 2.1×cost $0.0002 and $0.0001 |
| An article in three bullets | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 7.5×took 0.5 s and 4.0 s | GLM 5.3 Flash, 2.1×cost $0.0002 and $0.0001 |
| An email thread in one sentence | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 9.5×took 0.4 s and 4.0 s | DeepSeek V4.1 Flash, 1.2×cost $0.0001 and $0.0001 |
| Decisions and action items from a meeting | Both passed | GLM 5.3 Flash, 1.3×took 2.4 s and 1.9 s | GLM 5.3 Flash, 2.4×cost $0.0002 and $0.0001 |
| A quarterly memo for the CEO | Both passed | DeepSeek V4.1 Flash, 19.1×took 0.4 s and 8.3 s | GLM 5.3 Flash, 1.8×cost $0.0003 and $0.0001 |
| A study with a negative result | Both passed | DeepSeek V4.1 Flash, 7.2×took 0.5 s and 3.7 s | GLM 5.3 Flash, 2.3×cost $0.0002 and $0.0001 |
| The region with the most revenue | Both passed | DeepSeek V4.1 Flash, 11.4×took 0.8 s and 8.8 s | Closecost $0.0005 and $0.0005 |
| Average order value in August | Both passed | DeepSeek V4.1 Flash, 16.8×took 0.9 s and 14.5 s | GLM 5.3 Flash, 1.2×cost $0.0004 and $0.0004 |
| Revenue change from July to August | Both passed | DeepSeek V4.1 Flash, 8.8×took 1.1 s and 9.8 s | GLM 5.3 Flash, 1.9×cost $0.0007 and $0.0004 |
| A median, filtered two ways | Both passed | DeepSeek V4.1 Flash, 5.9×took 0.6 s and 3.7 s | GLM 5.3 Flash, 2.6×cost $0.0003 and $0.0001 |
| Correlation between ad spend and sign-ups | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 3.3×took 5.8 s and 19.4 s | GLM 5.3 Flash, 4.2×cost $0.0023 and $0.0005 |
| A late order | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 4.6×took 1.3 s and 6.2 s | GLM 5.3 Flash, 1.9×cost $0.0005 and $0.0003 |
| A return inside the window | Both passed | DeepSeek V4.1 Flash, 6.8×took 0.9 s and 6.2 s | GLM 5.3 Flash, 1.2×cost $0.0003 and $0.0002 |
| A frustrated customer | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 5.4×took 1.3 s and 6.8 s | GLM 5.3 Flash, 3.0×cost $0.0005 and $0.0002 |
| A refund request outside the window | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 2.3×took 1.1 s and 2.4 s | GLM 5.3 Flash, 1.9×cost $0.0003 and $0.0002 |
| A message with a planted instruction | Only GLM 5.3 Flash | DeepSeek V4.1 Flash, 2.3×took 2.3 s and 5.2 s | GLM 5.3 Flash, 4.3×cost $0.0008 and $0.0002 |
| A delivery message into Spanish | Both passed | DeepSeek V4.1 Flash, 4.2×took 0.9 s and 3.9 s | GLM 5.3 Flash, 3.6×cost $0.0003 and $0.0001 |
| A product description into French | Both passed | DeepSeek V4.1 Flash, 1.9×took 2.1 s and 4.1 s | GLM 5.3 Flash, 10.0×cost $0.0009 and $0.0001 |
| A meeting note into German | Both passed | DeepSeek V4.1 Flash, 3.1×took 1.3 s and 4.2 s | GLM 5.3 Flash, 7.2×cost $0.0005 and $0.0001 |
| Idioms into natural Japanese | Both passed | DeepSeek V4.1 Flash, 2.8×took 1.7 s and 4.8 s | GLM 5.3 Flash, 7.0×cost $0.0006 and $0.0001 |
| A lease clause into Brazilian Portuguese | Both passed | DeepSeek V4.1 Flash, 1.3×took 1.1 s and 1.3 s | GLM 5.3 Flash, 3.5×cost $0.0005 and $0.0001 |
| Customers in one country | Both passed | DeepSeek V4.1 Flash, 4.5×took 0.3 s and 1.2 s | DeepSeek V4.1 Flash, 1.2×cost $0.0001 and $0.0001 |
| Count orders by status | Both passed | DeepSeek V4.1 Flash, 8.1×took 0.3 s and 2.1 s | DeepSeek V4.1 Flash, 1.9×cost $0.0001 and $0.0001 |
| Revenue by category | Both passed | DeepSeek V4.1 Flash, 6.3×took 0.4 s and 2.6 s | GLM 5.3 Flash, 1.3×cost $0.0002 and $0.0001 |
| Every customer, even those without orders | Both passed | GLM 5.3 Flash, 1.9×took 1.9 s and 1.0 s | GLM 5.3 Flash, 3.2×cost $0.0004 and $0.0001 |
| Monthly revenue with a running total | Both passed | DeepSeek V4.1 Flash, 2.0×took 0.7 s and 1.4 s | GLM 5.3 Flash, 1.9×cost $0.0003 and $0.0002 |
| A fact from one section | Both passed | DeepSeek V4.1 Flash, 2.5×took 0.3 s and 0.7 s | DeepSeek V4.1 Flash, 1.2×cost $0.0002 and $0.0002 |
| Core hours and start times | Both passed | DeepSeek V4.1 Flash, 11.4×took 0.3 s and 3.9 s | DeepSeek V4.1 Flash, 1.7×cost $0.0001 and $0.0002 |
| Two sections in one answer | Both passed | DeepSeek V4.1 Flash, 5.5×took 0.3 s and 1.9 s | GLM 5.3 Flash, 1.3×cost $0.0001 and $0.0001 |
| A later amendment changes the answer | Both passed | DeepSeek V4.1 Flash, 2.2×took 1.0 s and 2.2 s | GLM 5.3 Flash, 2.0×cost $0.0003 and $0.0001 |
| A question the handbook doesn't answer | Both passed | DeepSeek V4.1 Flash, 7.0×took 0.4 s and 2.9 s | GLM 5.3 Flash, 1.3×cost $0.0001 and $0.0001 |
| Pick the tool and work out the date | Both passed | DeepSeek V4.1 Flash, 9.4×took 0.3 s and 3.2 s | GLM 5.3 Flash, 2.6×cost $0.0001 and $0.0001 |
| Convert a currency | Both passed | DeepSeek V4.1 Flash, 10.3×took 0.3 s and 3.0 s | DeepSeek V4.1 Flash, 1.2×cost $0.0001 and $0.0001 |
| Book a meeting from a sentence | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 10.5×took 0.6 s and 6.8 s | GLM 5.3 Flash, 1.9×cost $0.0003 and $0.0002 |
| Search, but don't book | Both passed | DeepSeek V4.1 Flash, 6.5×took 0.4 s and 2.3 s | GLM 5.3 Flash, 2.3×cost $0.0002 and $0.0001 |
| Two calls with a unit conversion | Both passed | DeepSeek V4.1 Flash, 5.4×took 0.6 s and 3.4 s | GLM 5.3 Flash, 1.3×cost $0.0003 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 | 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 | 48 of 50 · 1 message each · $0.0005 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.
A hard prompt: “A product announcement with five rules”, in full.
DeepSeek V4.1 Flash
Passed: Graded 4.3 of 5 on average (lowest 4).
**Introducing the Nordvik 2 desk lamp** The Nordvik 2 is built for desks that work as hard as you do. Its arm turns a full 270 degrees, so light lands exactly where you need it, and five dimming steps take you from focused task lighting to a softer evening glow. A USB-C port keeps it charged and cable clutter to a minimum. It costs €79 and ships on 1 December. Would you like to see it in person before then?
446 tokens in, 188 out (87 of them reasoning) · 0.8 s · $0.0003 · 1 message on Pro · answered by deepseek/deepseek-v4.1-flash via Together ·
GLM 5.3 Flash
Failed: Graded 3.3 of 5 on average (lowest 3).
Meet the Nordvik 2 Desk Lamp Lighting that adapts to you. The Nordvik 2 dims in five steps, so whether you need bright focus or a soft evening glow, the right light is always one touch away. Its arm turns 270 degrees, directing light exactly where you want it — across your desk, your sketchbook, or the wall behind you. Keeping your devices powered is easy too: the built-in USB-C port charges your phone or tablet while you work. No more hunting for spare outlets. The Nordvik 2 costs €79 and ships on 1 December. Clean design, thoughtful engineering, and flexible light for every task. Ready to brighten up your workspace?
421 tokens in, 165 out (20 of them reasoning) · 8.5 s · $0.0001 · 1 message on Pro · answered by z-ai/glm-5.3-flash via Together ·
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 | Not in the trial | Not in the trial |
| Plus | $10 a month | 30 a day | 30 a day |
| 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: 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
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
Neither is in the free trial: both need a paid plan, from Plus.
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 (October 2026) | $0.30 in / $1.20 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) | $0.0020 | $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
- Claude Haiku 5.5 vs DeepSeek V4.1 Flash
- Gemini 3.8 Flash vs DeepSeek V4.1 Flash
- GPT-6 Luna vs DeepSeek V4.1 Flash
- 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 V4.1 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 the models on it, 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?
Neither is in the free trial of 5 messages: both need a paid plan, from Plus.
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 October 8, 2026, DeepSeek V4.1 Flash passed 48 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.