Model vs model
GPT-6 Sol vs GLM 5.3
GPT-6 Sol 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 GPT-6 Sol page, OpenRouter's GLM 5.3 page. Updated .
Short answer
GLM 5.3 gets twice as many messages: up to 250 messages a month on Pro, against up to 125 messages a month for GPT-6 Sol. Otherwise, only GPT-6 Sol reads images and only GPT-6 Sol reads a PDF as the whole file. In our test runs, GPT-6 Sol passed 45 of the 50 prompts both answered and GLM 5.3 48; 5 prompts split them, most on customer support (3 to 5).
GPT-6 Sol vs GLM 5.3, prompt by prompt
Every prompt GPT-6 Sol 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 44, only GPT-6 Sol passed 1, only GLM 5.3 passed 4, and neither passed 1. GPT-6 Sol answered sooner on 3 of the 50 and GLM 5.3 on 42; the rest were within 10% of each other. The 50 replies cost $0.1297 on GPT-6 Sol and $0.0364 on GLM 5.3: 3.6× less on GLM 5.3.
The 5 prompts only one of GPT-6 Sol and GLM 5.3 passed
Rewrite corporate jargon in plain words (writing): GLM 5.3 passed and GPT-6 Sol didn't. GPT-6 Sol: 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): GPT-6 Sol passed and GLM 5.3 didn't. GPT-6 Sol: 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.
A late order (customer support): GLM 5.3 passed and GPT-6 Sol didn't. GPT-6 Sol: Graded 3.7 of 5 on average (lowest 1). GLM 5.3: Graded 5.0 of 5 on average (lowest 5).
A frustrated customer (customer support): GLM 5.3 passed and GPT-6 Sol didn't. GPT-6 Sol: Graded 3.0 of 5 on average (lowest 2). GLM 5.3: Graded 4.7 of 5 on average (lowest 4).
Idioms into natural Japanese (translation): GLM 5.3 passed and GPT-6 Sol didn't. GPT-6 Sol: Back-translation chrF 0.40 (pass at 0.4); reads back too far from the original. GLM 5.3: Back-translation chrF 0.49 (pass at 0.4).
Job by job, the widest gaps first
Customer support: GPT-6 Sol passed 3 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 1.4× sooner at the median, 3.2 s against 2.3 s. GLM 5.3 cost 6.3× less, $0.0146 against $0.0023 for the 5 replies. GLM 5.3's replies ran 55% longer, in tokens of reply, thinking not counted.
Translation: GPT-6 Sol passed 4 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 2.0× sooner at the median, 3.2 s against 1.6 s. GLM 5.3 cost 4.0× less, $0.0140 against $0.0035 for the 5 replies. GLM 5.3's replies ran 53% longer, in tokens of reply, thinking not counted.
SQL: GPT-6 Sol passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 1.2× sooner at the median, 1.3 s against 1.2 s. GLM 5.3 cost 6.6× less, $0.0104 against $0.0016 for the 5 replies. GPT-6 Sol's replies ran 19% longer, in tokens of reply, thinking not counted.
Math: GPT-6 Sol passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 2.3× sooner at the median, 2.2 s against 0.9 s. GLM 5.3 cost 5.1× less, $0.0090 against $0.0018 for the 5 replies. GLM 5.3's replies ran 16% longer, in tokens of reply, thinking not counted.
Summarization: GPT-6 Sol passed 4 of 5 and GLM 5.3 4 of 5. GLM 5.3 answered 1.9× sooner at the median, 2.0 s against 1.1 s. GLM 5.3 cost 4.0× less, $0.0110 against $0.0027 for the 5 replies. Their replies ran to about the same length.
Writing: GPT-6 Sol passed 4 of 5 and GLM 5.3 4 of 5. GLM 5.3 answered 2.0× sooner at the median, 3.5 s against 1.8 s. GLM 5.3 cost 3.9× less, $0.0113 against $0.0029 for the 5 replies. GLM 5.3's replies ran 29% longer, in tokens of reply, thinking not counted.
Agents and tool use: GPT-6 Sol passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 2.1× sooner at the median, 1.9 s against 0.9 s. GLM 5.3 cost 3.6× less, $0.0081 against $0.0022 for the 5 replies. Their replies ran to about the same length.
Coding: GPT-6 Sol passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 4.6× sooner at the median, 4.8 s against 1.1 s. GLM 5.3 cost 3.6× less, $0.0262 against $0.0073 for the 5 replies. GLM 5.3's replies ran 18% longer, in tokens of reply, thinking not counted.
RAG and answering from documents: GPT-6 Sol passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 1.7× sooner at the median, 1.1 s against 0.6 s. GLM 5.3 cost 3.2× less, $0.0081 against $0.0025 for the 5 replies. Their replies ran to about the same length.
Data analysis: GPT-6 Sol passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 1.4× sooner at the median, 2.8 s against 1.9 s. GLM 5.3 cost 1.8× less, $0.0169 against $0.0096 for the 5 replies. GLM 5.3's replies ran 83% 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, 7.5×took 3.3 s and 0.4 s | GLM 5.3, 2.8×cost $0.0028 and $0.0010 |
| Parse a duration like “1h 30m” | Both passed | GLM 5.3, 4.6×took 4.8 s and 1.1 s | GLM 5.3, 3.0×cost $0.0042 and $0.0014 |
| Merge overlapping intervals | Both passed | GLM 5.3, 2.0×took 1.7 s and 0.8 s | GLM 5.3, 2.7×cost $0.0022 and $0.0008 |
| Evaluate an arithmetic expression, no eval | Both passed | GPT-6 Sol, 1.3×took 9.7 s and 12.5 s | GLM 5.3, 5.3×cost $0.0089 and $0.0017 |
| Parse CSV with quoted fields | Both passed | GLM 5.3, 3.4×took 8.9 s and 2.6 s | GLM 5.3, 3.4×cost $0.0081 and $0.0024 |
| Announce a second bakery shop on LinkedIn | Both passed | GLM 5.3, 1.2×took 3.5 s and 2.9 s | GLM 5.3, 7.1×cost $0.0027 and $0.0004 |
| Rewrite corporate jargon in plain words | Only GLM 5.3 | GLM 5.3, 2.8×took 5.0 s and 1.8 s | GLM 5.3, 16.3×cost $0.0033 and $0.0002 |
| Decline a meeting and offer two times | Both passed | Closetook 1.3 s and 1.4 s | GLM 5.3, 5.3×cost $0.0014 and $0.0003 |
| A product announcement with five rules | Both passed | GLM 5.3, 1.9×took 1.6 s and 0.8 s | GLM 5.3, 1.9×cost $0.0014 and $0.0008 |
| Argue both sides of free buses | Only GPT-6 Sol | GLM 5.3, 2.4×took 4.2 s and 1.8 s | GLM 5.3, 2.0×cost $0.0025 and $0.0013 |
| A discount, then sales tax | Both passed | GLM 5.3, 1.8×took 1.7 s and 0.9 s | GLM 5.3, 6.2×cost $0.0013 and $0.0002 |
| Pens at 3 for $4 | Both passed | GLM 5.3, 2.2×took 3.3 s and 1.5 s | GLM 5.3, 13.8×cost $0.0024 and $0.0002 |
| Compound interest over three years | Both passed | GLM 5.3, 2.4×took 1.4 s and 0.6 s | GLM 5.3, 2.6×cost $0.0014 and $0.0005 |
| Four-digit numbers whose digits sum to 9 | Both passed | GLM 5.3, 1.3×took 2.5 s and 1.9 s | GLM 5.3, 7.6×cost $0.0019 and $0.0003 |
| The highest of three dice is a 5 | Both passed | GLM 5.3, 2.5×took 2.2 s and 0.9 s | GLM 5.3, 3.4×cost $0.0020 and $0.0006 |
| An article in three bullets | Neither passed | GPT-6 Sol, 1.3×took 2.0 s and 2.8 s | GLM 5.3, 4.6×cost $0.0020 and $0.0004 |
| An email thread in one sentence | Both passed | GLM 5.3, 2.0×took 2.0 s and 1.0 s | GLM 5.3, 5.8×cost $0.0014 and $0.0002 |
| Decisions and action items from a meeting | Both passed | GLM 5.3, 2.3×took 3.5 s and 1.5 s | GLM 5.3, 14.5×cost $0.0034 and $0.0002 |
| A quarterly memo for the CEO | Both passed | GLM 5.3, 2.4×took 2.6 s and 1.1 s | GLM 5.3, 2.5×cost $0.0024 and $0.0010 |
| A study with a negative result | Both passed | GLM 5.3, 2.0×took 1.7 s and 0.8 s | GLM 5.3, 2.1×cost $0.0017 and $0.0008 |
| The region with the most revenue | Both passed | GLM 5.3, 1.3×took 2.8 s and 2.1 s | GLM 5.3, 6.7×cost $0.0026 and $0.0004 |
| Average order value in August | Both passed | GLM 5.3, 1.4×took 2.8 s and 1.9 s | GLM 5.3, 6.8×cost $0.0025 and $0.0004 |
| Revenue change from July to August | Both passed | GLM 5.3, 2.0×took 2.8 s and 1.4 s | GLM 5.3, 1.6×cost $0.0025 and $0.0016 |
| A median, filtered two ways | Both passed | GLM 5.3, 2.7×took 2.5 s and 1.0 s | GLM 5.3, 2.3×cost $0.0024 and $0.0011 |
| Correlation between ad spend and sign-ups | Both passed | GLM 5.3, 1.2×took 6.6 s and 5.6 s | GLM 5.3, 1.1×cost $0.0069 and $0.0062 |
| A late order | Only GLM 5.3 | GLM 5.3, 1.2×took 3.2 s and 2.6 s | GLM 5.3, 6.3×cost $0.0025 and $0.0004 |
| A return inside the window | Both passed | Closetook 1.5 s and 1.6 s | GLM 5.3, 7.2×cost $0.0017 and $0.0002 |
| A frustrated customer | Only GLM 5.3 | GLM 5.3, 2.5×took 5.9 s and 2.3 s | GLM 5.3, 13.7×cost $0.0043 and $0.0003 |
| A refund request outside the window | Both passed | GLM 5.3, 2.7×took 3.0 s and 1.1 s | GLM 5.3, 2.7×cost $0.0025 and $0.0009 |
| A message with a planted instruction | Both passed | GPT-6 Sol, 1.2×took 4.4 s and 5.3 s | GLM 5.3, 7.9×cost $0.0037 and $0.0005 |
| A delivery message into Spanish | Both passed | GLM 5.3, 2.2×took 3.2 s and 1.5 s | GLM 5.3, 11.3×cost $0.0026 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, 6.3×cost $0.0019 and $0.0003 |
| A meeting note into German | Both passed | GLM 5.3, 3.2×took 5.0 s and 1.6 s | GLM 5.3, 18.9×cost $0.0035 and $0.0002 |
| Idioms into natural Japanese | Only GLM 5.3 | GLM 5.3, 1.4×took 2.4 s and 1.7 s | GLM 5.3, 1.8×cost $0.0021 and $0.0012 |
| A lease clause into Brazilian Portuguese | Both passed | GLM 5.3, 2.7×took 4.6 s and 1.7 s | GLM 5.3, 2.5×cost $0.0040 and $0.0016 |
| Customers in one country | Both passed | GLM 5.3, 1.4×took 1.1 s and 0.8 s | GLM 5.3, 9.1×cost $0.0012 and $0.0001 |
| Count orders by status | Both passed | Closetook 1.1 s and 1.2 s | GLM 5.3, 9.3×cost $0.0012 and $0.0001 |
| Revenue by category | Both passed | Closetook 1.3 s and 1.2 s | GLM 5.3, 8.8×cost $0.0018 and $0.0002 |
| Every customer, even those without orders | Both passed | GLM 5.3, 1.5×took 1.4 s and 1.0 s | GLM 5.3, 2.6×cost $0.0018 and $0.0007 |
| Monthly revenue with a running total | Both passed | GLM 5.3, 1.4×took 4.5 s and 3.2 s | GLM 5.3, 11.1×cost $0.0043 and $0.0004 |
| A fact from one section | Both passed | GLM 5.3, 1.3×took 1.1 s and 0.9 s | GLM 5.3, 5.6×cost $0.0015 and $0.0003 |
| Core hours and start times | Both passed | GLM 5.3, 2.2×took 1.1 s and 0.5 s | GLM 5.3, 2.2×cost $0.0016 and $0.0007 |
| Two sections in one answer | Both passed | GLM 5.3, 2.4×took 1.2 s and 0.5 s | GLM 5.3, 3.5×cost $0.0016 and $0.0005 |
| A later amendment changes the answer | Both passed | GLM 5.3, 1.6×took 2.0 s and 1.3 s | GLM 5.3, 3.4×cost $0.0020 and $0.0006 |
| A question the handbook doesn't answer | Both passed | GLM 5.3, 1.5×took 0.9 s and 0.6 s | GLM 5.3, 3.1×cost $0.0014 and $0.0005 |
| Pick the tool and work out the date | Both passed | GLM 5.3, 2.4×took 2.2 s and 0.9 s | GLM 5.3, 7.2×cost $0.0016 and $0.0002 |
| Convert a currency | Both passed | GLM 5.3, 1.6×took 1.8 s and 1.1 s | GLM 5.3, 8.5×cost $0.0012 and $0.0001 |
| Book a meeting from a sentence | Both passed | Closetook 1.9 s and 1.7 s | GLM 5.3, 3.8×cost $0.0021 and $0.0006 |
| Search, but don't book | Both passed | GLM 5.3, 2.0×took 1.1 s and 0.5 s | GLM 5.3, 2.6×cost $0.0014 and $0.0005 |
| Two calls with a unit conversion | Both passed | GLM 5.3, 4.0×took 2.8 s and 0.7 s | GLM 5.3, 2.4×cost $0.0018 and $0.0008 |
GPT-6 Sol vs GLM 5.3 in our test runs
GPT-6 Sol 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 | GPT-6 Sol | 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 | 4 of 5 | 4 of 5 |
| Data analysis | 5 of 5 | 5 of 5 |
| Customer support | 3 of 5 | 5 of 5 |
| Translation | 4 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 | 45 of 50 · 1 message each · $0.0026 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, customer support: both replies to a prompt only one of them passed.
An everyday prompt: “A late order”, in full.
GPT-6 Sol
Failed: Graded 3.7 of 5 on average (lowest 1).
Hi, I’m sorry your rain jacket hasn’t arrived. Standard delivery usually takes 3–5 business days, so I understand your concern after 9 business days. Could you send me your order number? I’ll check the tracking and find out where the package is. Sam, Northwind support
511 tokens in, 144 out (78 of them reasoning) · 3.2 s · $0.0025 · 1 message on Pro · answered by openai/gpt-6-sol via OpenAI ·
GLM 5.3
Passed: Graded 5.0 of 5 on average (lowest 5).
Hi, I'm sorry your rain jacket still hasn't arrived — that's well past our standard 3–5 business day delivery window, and I understand how frustrating that is. I'd like to look into where your package is right away. Could you reply with your order number so I can check its status and tracking? If it's lost or stuck in transit, we'll sort out a replacement or solution for you. Also, because your order is more than 7 business days late, you're entitled to free express shipping on your next order — I'll make sure that's applied to your account. Thanks for your patience, and again, apologies for the delay. Sam, Northwind support
529 tokens in, 163 out (21 of them reasoning) · 2.6 s · $0.0004 · 1 message on Pro · answered by z-ai/glm-5.3 via Baidu ·
GPT-6 Sol 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 | GPT-6 Sol | GLM 5.3 |
|---|---|---|---|
| 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
GLM 5.3 gets twice as many messages: up to 250 messages a month on Pro, against up to 125 messages a month for GPT-6 Sol.
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. GLM 5.3 gets a PDF's text rather than the file itself.
On Free
Both are in the free trial.
Where messages go
GPT-6 Sol: Sent to OpenAI directly. 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 | GPT-6 Sol | GLM 5.3 |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Reads images | Yes | No |
| PDFs | Whole file | Text only |
| Reasoning | Yes | Yes |
| API price (September 2026) | $2.00 in / $10.00 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) | $0.0150 | $0.0087 |
| A $10 top-up adds | 100 messages | 200 messages |
| Where a message goes | Sent to OpenAI 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 OpenAI fails before the reply starts (an overload, a server error, a dropped connection), llmwise sends the same request to GPT-6 Sol 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 |
GPT-6 Sol 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 GPT-6 Sol: it reads images; it reads a PDF as the whole file, charts and scans included.
Pick GLM 5.3: more messages for the money, up to 250 messages a month on Pro.
Each model's page, the families, and other pairs
GPT-6 Sol vs GLM 5.3 is one pair of models. The page below covers the whole families.
- GPT-6 Sol: price, limits and messages on every plan
- GLM 5.3: price, limits and messages on every plan
- ChatGPT vs GLM
- Claude Opus 5.5 vs GPT-6 Sol
- GPT-6 Astra vs GPT-6 Sol
- GPT-6 Sol vs GPT-6 Luna
- 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
GPT-6 Sol is a GPT model; GLM 5.3 is a GLM model.
Questions
Is GPT-6 Sol or GLM 5.3 cheaper in llmwise?
GLM 5.3 gets twice as many messages: up to 250 messages a month on Pro, against up to 125 messages a month for GPT-6 Sol. 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 GPT-6 Sol and GLM 5.3 for free?
Yes: both are in the free trial of 5 messages.
Which has the bigger context window, GPT-6 Sol 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 GPT-6 Sol and GLM 5.3 in the same chat?
Yes. Pick GPT-6 Sol 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, GPT-6 Sol or GLM 5.3?
On the same 50 prompts, run on September 27, 2026, GPT-6 Sol passed 45 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, 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.