Model vs model
DeepSeek V4.1 Flash vs GLM 5.3
DeepSeek V4.1 Flash and GLM 5.3 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 page. Updated .
Short answer
DeepSeek V4.1 Flash is an everyday model (60 messages a day on Pro); GLM 5.3 draws on the monthly allowance (up to 250 messages a month on Pro). Otherwise, only DeepSeek V4.1 Flash reads images. In our test runs, DeepSeek V4.1 Flash passed 48 of the 50 prompts both answered and GLM 5.3 48; 4 prompts split them, most on summarization (5 to 4).
DeepSeek V4.1 Flash vs GLM 5.3, prompt by prompt
Every prompt DeepSeek V4.1 Flash and GLM 5.3 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 46, only DeepSeek V4.1 Flash passed 2, only GLM 5.3 passed 2, and neither passed 0. DeepSeek V4.1 Flash answered sooner on 36 of the 50 and GLM 5.3 on 10; the rest were within 10% of each other. The 50 replies cost $0.0260 on DeepSeek V4.1 Flash and $0.0364 on GLM 5.3: 1.4× less on DeepSeek V4.1 Flash.
The 4 prompts only one of DeepSeek V4.1 Flash and GLM 5.3 passed
Rewrite corporate jargon in plain words (writing): GLM 5.3 passed and DeepSeek V4.1 Flash didn't. DeepSeek V4.1 Flash: Graded 3.7 of 5 on average (lowest 3). GLM 5.3: Graded 4.0 of 5 on average (lowest 3).
Argue both sides of free buses (writing): DeepSeek V4.1 Flash passed and GLM 5.3 didn't. DeepSeek V4.1 Flash: Graded 4.3 of 5 on average (lowest 4). GLM 5.3: Graded 3.7 of 5 on average (lowest 3); 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 didn't. DeepSeek V4.1 Flash: Graded 4.7 of 5 on average (lowest 4). GLM 5.3: Graded 4.3 of 5 on average (lowest 3); but 68 words, over the 60 allowed.
A message with a planted instruction (customer support): GLM 5.3 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: Graded 4.3 of 5 on average (lowest 4).
Job by job, the widest gaps first
Summarization: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 4 of 5. DeepSeek V4.1 Flash answered 2.1× sooner at the median, 0.5 s against 1.1 s. DeepSeek V4.1 Flash cost 2.7× less, $0.0010 against $0.0027 for the 5 replies. Their replies ran to about the same length.
Customer support: DeepSeek V4.1 Flash passed 4 of 5 and GLM 5.3 5 of 5. DeepSeek V4.1 Flash answered 1.8× sooner at the median, 1.3 s against 2.3 s. They cost about the same, $0.0023 against $0.0023 for the 5 replies. DeepSeek V4.1 Flash's replies ran 39% longer, in tokens of reply, thinking not counted.
RAG and answering from documents: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 5 of 5. DeepSeek V4.1 Flash answered 1.9× sooner at the median, 0.3 s against 0.6 s. DeepSeek V4.1 Flash cost 3.0× less, $0.0008 against $0.0025 for the 5 replies. DeepSeek V4.1 Flash's replies ran 102% longer, in tokens of reply, thinking not counted.
Data analysis: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 5 of 5. DeepSeek V4.1 Flash answered 2.2× sooner at the median, 0.9 s against 1.9 s. DeepSeek V4.1 Flash cost 2.3× less, $0.0042 against $0.0096 for the 5 replies. Their replies ran to about the same length.
Agents and tool use: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 5 of 5. DeepSeek V4.1 Flash answered 2.5× sooner at the median, 0.4 s against 0.9 s. DeepSeek V4.1 Flash cost 2.2× less, $0.0010 against $0.0022 for the 5 replies. DeepSeek V4.1 Flash's replies ran 13% longer, in tokens of reply, thinking not counted.
SQL: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 5 of 5. DeepSeek V4.1 Flash answered 2.8× sooner at the median, 0.4 s against 1.2 s. DeepSeek V4.1 Flash cost 1.6× less, $0.0010 against $0.0016 for the 5 replies. Their replies ran to about the same length.
Math: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 5 of 5. Their median waits were close, 0.9 s against 0.9 s. DeepSeek V4.1 Flash cost 1.4× less, $0.0012 against $0.0018 for the 5 replies. DeepSeek V4.1 Flash's replies ran 15% longer, in tokens of reply, thinking not counted.
Writing: DeepSeek V4.1 Flash passed 4 of 5 and GLM 5.3 4 of 5. DeepSeek V4.1 Flash answered 1.3× sooner at the median, 1.3 s against 1.8 s. DeepSeek V4.1 Flash cost 1.3× less, $0.0023 against $0.0029 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 5 of 5. GLM 5.3 answered 2.4× sooner at the median, 2.5 s against 1.1 s. GLM 5.3 cost 1.2× less, $0.0092 against $0.0073 for the 5 replies. DeepSeek V4.1 Flash's replies ran 50% longer, in tokens of reply, thinking not counted.
Translation: DeepSeek V4.1 Flash passed 5 of 5 and GLM 5.3 5 of 5. DeepSeek V4.1 Flash answered 1.2× sooner at the median, 1.3 s against 1.6 s. DeepSeek V4.1 Flash cost 1.2× less, $0.0029 against $0.0035 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 | GLM 5.3, 3.0×took 1.3 s and 0.4 s | DeepSeek V4.1 Flash, 2.5×cost $0.0004 and $0.0010 |
| Parse a duration like “1h 30m” | Both passed | GLM 5.3, 2.4×took 2.5 s and 1.1 s | DeepSeek V4.1 Flash, 1.2×cost $0.0011 and $0.0014 |
| Merge overlapping intervals | Both passed | DeepSeek V4.1 Flash, 1.3×took 0.6 s and 0.8 s | DeepSeek V4.1 Flash, 2.5×cost $0.0003 and $0.0008 |
| Evaluate an arithmetic expression, no eval | Both passed | DeepSeek V4.1 Flash, 2.1×took 5.8 s and 12.5 s | GLM 5.3, 1.8×cost $0.0030 and $0.0017 |
| Parse CSV with quoted fields | Both passed | GLM 5.3, 3.4×took 9.1 s and 2.6 s | GLM 5.3, 1.8×cost $0.0042 and $0.0024 |
| Announce a second bakery shop on LinkedIn | Both passed | DeepSeek V4.1 Flash, 2.1×took 1.3 s and 2.9 s | Closecost $0.0004 and $0.0004 |
| Rewrite corporate jargon in plain words | Only GLM 5.3 | DeepSeek V4.1 Flash, 2.0×took 0.9 s and 1.8 s | GLM 5.3, 1.5×cost $0.0003 and $0.0002 |
| Decline a meeting and offer two times | Both passed | GLM 5.3, 1.6×took 2.2 s and 1.4 s | DeepSeek V4.1 Flash, 1.2×cost $0.0002 and $0.0003 |
| A product announcement with five rules | Both passed | Closetook 0.8 s and 0.8 s | DeepSeek V4.1 Flash, 2.7×cost $0.0003 and $0.0008 |
| Argue both sides of free buses | Only DeepSeek V4.1 Flash | GLM 5.3, 1.5×took 2.6 s and 1.8 s | DeepSeek V4.1 Flash, 1.2×cost $0.0011 and $0.0013 |
| A discount, then sales tax | Both passed | DeepSeek V4.1 Flash, 1.3×took 0.7 s and 0.9 s | DeepSeek V4.1 Flash, 1.5×cost $0.0001 and $0.0002 |
| Pens at 3 for $4 | Both passed | DeepSeek V4.1 Flash, 1.6×took 0.9 s and 1.5 s | GLM 5.3, 2.3×cost $0.0004 and $0.0002 |
| Compound interest over three years | Both passed | GLM 5.3, 3.6×took 2.1 s and 0.6 s | DeepSeek V4.1 Flash, 2.9×cost $0.0002 and $0.0005 |
| Four-digit numbers whose digits sum to 9 | Both passed | DeepSeek V4.1 Flash, 2.7×took 0.7 s and 1.9 s | GLM 5.3, 1.1×cost $0.0003 and $0.0003 |
| The highest of three dice is a 5 | Both passed | GLM 5.3, 1.2×took 1.0 s and 0.9 s | DeepSeek V4.1 Flash, 2.5×cost $0.0002 and $0.0006 |
| An article in three bullets | Only DeepSeek V4.1 Flash | DeepSeek V4.1 Flash, 5.2×took 0.5 s and 2.8 s | DeepSeek V4.1 Flash, 2.2×cost $0.0002 and $0.0004 |
| An email thread in one sentence | Both passed | DeepSeek V4.1 Flash, 2.5×took 0.4 s and 1.0 s | DeepSeek V4.1 Flash, 1.9×cost $0.0001 and $0.0002 |
| Decisions and action items from a meeting | Both passed | GLM 5.3, 1.6×took 2.4 s and 1.5 s | DeepSeek V4.1 Flash, 1.1×cost $0.0002 and $0.0002 |
| A quarterly memo for the CEO | Both passed | DeepSeek V4.1 Flash, 2.5×took 0.4 s and 1.1 s | DeepSeek V4.1 Flash, 3.8×cost $0.0003 and $0.0010 |
| A study with a negative result | Both passed | DeepSeek V4.1 Flash, 1.6×took 0.5 s and 0.8 s | DeepSeek V4.1 Flash, 4.0×cost $0.0002 and $0.0008 |
| The region with the most revenue | Both passed | DeepSeek V4.1 Flash, 2.7×took 0.8 s and 2.1 s | GLM 5.3, 1.3×cost $0.0005 and $0.0004 |
| Average order value in August | Both passed | DeepSeek V4.1 Flash, 2.2×took 0.9 s and 1.9 s | GLM 5.3, 1.2×cost $0.0004 and $0.0004 |
| Revenue change from July to August | Both passed | DeepSeek V4.1 Flash, 1.2×took 1.1 s and 1.4 s | DeepSeek V4.1 Flash, 2.3×cost $0.0007 and $0.0016 |
| A median, filtered two ways | Both passed | DeepSeek V4.1 Flash, 1.5×took 0.6 s and 1.0 s | DeepSeek V4.1 Flash, 3.4×cost $0.0003 and $0.0011 |
| Correlation between ad spend and sign-ups | Both passed | Closetook 5.8 s and 5.6 s | DeepSeek V4.1 Flash, 2.7×cost $0.0023 and $0.0062 |
| A late order | Both passed | DeepSeek V4.1 Flash, 2.0×took 1.3 s and 2.6 s | GLM 5.3, 1.3×cost $0.0005 and $0.0004 |
| A return inside the window | Both passed | DeepSeek V4.1 Flash, 1.7×took 0.9 s and 1.6 s | GLM 5.3, 1.2×cost $0.0003 and $0.0002 |
| A frustrated customer | Both passed | DeepSeek V4.1 Flash, 1.8×took 1.3 s and 2.3 s | GLM 5.3, 1.5×cost $0.0005 and $0.0003 |
| A refund request outside the window | Both passed | Closetook 1.1 s and 1.1 s | DeepSeek V4.1 Flash, 2.9×cost $0.0003 and $0.0009 |
| A message with a planted instruction | Only GLM 5.3 | DeepSeek V4.1 Flash, 2.3×took 2.3 s and 5.3 s | GLM 5.3, 1.6×cost $0.0008 and $0.0005 |
| A delivery message into Spanish | Both passed | DeepSeek V4.1 Flash, 1.6×took 0.9 s and 1.5 s | GLM 5.3, 1.5×cost $0.0003 and $0.0002 |
| A product description into French | Both passed | GLM 5.3, 1.4×took 2.1 s and 1.5 s | GLM 5.3, 3.0×cost $0.0009 and $0.0003 |
| A meeting note into German | Both passed | DeepSeek V4.1 Flash, 1.2×took 1.3 s and 1.6 s | GLM 5.3, 3.0×cost $0.0005 and $0.0002 |
| Idioms into natural Japanese | Both passed | Closetook 1.7 s and 1.7 s | DeepSeek V4.1 Flash, 1.9×cost $0.0006 and $0.0012 |
| A lease clause into Brazilian Portuguese | Both passed | DeepSeek V4.1 Flash, 1.6×took 1.1 s and 1.7 s | DeepSeek V4.1 Flash, 3.2×cost $0.0005 and $0.0016 |
| Customers in one country | Both passed | DeepSeek V4.1 Flash, 2.9×took 0.3 s and 0.8 s | DeepSeek V4.1 Flash, 1.2×cost $0.0001 and $0.0001 |
| Count orders by status | Both passed | DeepSeek V4.1 Flash, 4.4×took 0.3 s and 1.2 s | DeepSeek V4.1 Flash, 1.9×cost $0.0001 and $0.0001 |
| Revenue by category | Both passed | DeepSeek V4.1 Flash, 3.0×took 0.4 s and 1.2 s | DeepSeek V4.1 Flash, 1.4×cost $0.0002 and $0.0002 |
| Every customer, even those without orders | Both passed | GLM 5.3, 1.9×took 1.9 s and 1.0 s | DeepSeek V4.1 Flash, 1.9×cost $0.0004 and $0.0007 |
| Monthly revenue with a running total | Both passed | DeepSeek V4.1 Flash, 4.5×took 0.7 s and 3.2 s | DeepSeek V4.1 Flash, 1.3×cost $0.0003 and $0.0004 |
| A fact from one section | Both passed | DeepSeek V4.1 Flash, 3.0×took 0.3 s and 0.9 s | DeepSeek V4.1 Flash, 1.6×cost $0.0002 and $0.0003 |
| Core hours and start times | Both passed | DeepSeek V4.1 Flash, 1.5×took 0.3 s and 0.5 s | DeepSeek V4.1 Flash, 5.6×cost $0.0001 and $0.0007 |
| Two sections in one answer | Both passed | DeepSeek V4.1 Flash, 1.5×took 0.3 s and 0.5 s | DeepSeek V4.1 Flash, 3.5×cost $0.0001 and $0.0005 |
| A later amendment changes the answer | Both passed | DeepSeek V4.1 Flash, 1.2×took 1.0 s and 1.3 s | DeepSeek V4.1 Flash, 2.1×cost $0.0003 and $0.0006 |
| A question the handbook doesn't answer | Both passed | DeepSeek V4.1 Flash, 1.5×took 0.4 s and 0.6 s | DeepSeek V4.1 Flash, 3.6×cost $0.0001 and $0.0005 |
| Pick the tool and work out the date | Both passed | DeepSeek V4.1 Flash, 2.6×took 0.3 s and 0.9 s | DeepSeek V4.1 Flash, 1.5×cost $0.0001 and $0.0002 |
| Convert a currency | Both passed | DeepSeek V4.1 Flash, 4.0×took 0.3 s and 1.1 s | DeepSeek V4.1 Flash, 1.2×cost $0.0001 and $0.0001 |
| Book a meeting from a sentence | Both passed | DeepSeek V4.1 Flash, 2.6×took 0.6 s and 1.7 s | DeepSeek V4.1 Flash, 1.8×cost $0.0003 and $0.0006 |
| Search, but don't book | Both passed | DeepSeek V4.1 Flash, 1.5×took 0.4 s and 0.5 s | DeepSeek V4.1 Flash, 3.0×cost $0.0002 and $0.0005 |
| Two calls with a unit conversion | Both passed | DeepSeek V4.1 Flash, 1.1×took 0.6 s and 0.7 s | DeepSeek V4.1 Flash, 2.9×cost $0.0003 and $0.0008 |
DeepSeek V4.1 Flash vs GLM 5.3 in our test runs
DeepSeek V4.1 Flash and GLM 5.3 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 |
|---|---|---|
| Coding | 5 of 5 | 5 of 5 |
| Writing | 4 of 5 | 4 of 5 |
| Math | 5 of 5 | 5 of 5 |
| Summarization | 5 of 5 | 4 of 5 |
| Data analysis | 5 of 5 | 5 of 5 |
| Customer support | 4 of 5 | 5 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 | 48 of 50 · 1 message each · $0.0005 a reply | 48 of 50 · 1 message each · $0.0007 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, summarization: both replies to a prompt only one of them passed.
An everyday prompt: “An article in three bullets”, in full.
DeepSeek V4.1 Flash
Passed: Graded 4.7 of 5 on average (lowest 4).
- Aldmoor's six-month protected bike lane trial on Market Street ended; council votes in November. - Bike trips rose from 900 to 2,300 daily; car traffic fell 14%, rush-hour delays rose ~1 minute; injuries fell from nine to two. - Businesses split on impact; installation cost €410,000, permanence a further €1.1 million.
562 tokens in, 92 out (11 of them reasoning) · 0.5 s · $0.0002 · 1 message on Pro · answered by deepseek/deepseek-v4.1-flash via Together ·
GLM 5.3
Failed: Graded 4.3 of 5 on average (lowest 3); but 68 words, over the 60 allowed.
- Aldmoor ended its six-month protected bike lane trial on Market Street; the council votes in November on making them permanent. - Daily bike trips rose from about 900 to 2,300, cyclist injuries fell from nine to two, and car traffic dropped 14%, though rush-hour drives got slightly longer. - Businesses are split (27 reported more customers, 19 fewer), and permanence would cost an extra €1.1 million beyond the €410,000 spent.
539 tokens in, 218 out (118 of them reasoning) · 2.8 s · $0.0004 · 1 message on Pro · answered by z-ai/glm-5.3 via Morph ·
DeepSeek V4.1 Flash and GLM 5.3 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 |
|---|---|---|---|
| Free | $0 | Not in the trial | Not in the trial |
| Plus | $10 a month | 30 a day | Up to 125 a month |
| Pro | $20 a month | 60 a day | Up to 250 a month |
| Max | $50 a month | 120 a day | Up to 800 a month |
| Ultra | $100 a month | 200 a day | Up to 1,800 a month |
| Studio | $200 a month | 200 a day | 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 V4.1 Flash is an everyday model (60 messages a day on Pro); GLM 5.3 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
GLM 5.3 doesn't read images. DeepSeek V4.1 Flash and GLM 5.3 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: 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 |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Reads images | Yes | No |
| PDFs | Text only | Text only |
| Reasoning | Yes | Yes |
| API price (October 2026) | $0.30 in / $1.20 out per million tokens | $1.40 in / $4.40 out per million tokens |
| A typical message at API prices (4,000 tokens in, 700 out) | $0.0020 | $0.0087 |
| A $10 top-up adds | Nothing: an everyday model's count is daily | 200 messages |
| 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?
From the facts above and our test runs: the rest is how their answers suit your work, which one chat can show you.
Pick DeepSeek V4.1 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 V4.1 Flash vs GLM 5.3 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: 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
- GLM 5.3 vs GLM 5.3 Flash
- Kimi K3 vs GLM 5.3
- DeepSeek V4 Pro vs GLM 5.3
- Every model-vs-model page
DeepSeek V4.1 Flash is a DeepSeek model; GLM 5.3 is a GLM model.
Questions
Is DeepSeek V4.1 Flash or GLM 5.3 cheaper in llmwise?
DeepSeek V4.1 Flash is an everyday model (60 messages a day on Pro); GLM 5.3 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 V4.1 Flash and GLM 5.3 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?
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 in the same chat?
Yes. Pick DeepSeek V4.1 Flash for one message and GLM 5.3 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?
On the same 50 prompts, run on October 8, 2026, DeepSeek V4.1 Flash passed 48 and GLM 5.3 passed 48. 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.