Model vs model
Grok 4.7 vs GLM 5.3
Grok 4.7 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 Grok 4.7 page, OpenRouter's GLM 5.3 page. Updated .
Short answer
They cost the same in llmwise: up to 250 messages a month on Pro on either. Otherwise, only Grok 4.7 reads images and only Grok 4.7 reads a PDF as the whole file. In our test runs, Grok 4.7 passed 47 of the 50 prompts both answered and GLM 5.3 48; 3 prompts split them, most on writing (3 to 4).
Grok 4.7 vs GLM 5.3, prompt by prompt
Every prompt Grok 4.7 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 Grok 4.7 passed 1, only GLM 5.3 passed 2, and neither passed 1. Grok 4.7 answered sooner on 0 of the 50 and GLM 5.3 on 49; the rest were within 10% of each other. The 50 replies cost $0.3875 on Grok 4.7 and $0.0364 on GLM 5.3: 10.6× less on GLM 5.3.
The 3 prompts only one of Grok 4.7 and GLM 5.3 passed
Rewrite corporate jargon in plain words (writing): GLM 5.3 passed and Grok 4.7 didn't. Grok 4.7: Graded 3.7 of 5 on average (lowest 3). GLM 5.3: Graded 4.0 of 5 on average (lowest 3).
An article in three bullets (summarization): Grok 4.7 passed and GLM 5.3 didn't. Grok 4.7: 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 frustrated customer (customer support): GLM 5.3 passed and Grok 4.7 didn't. Grok 4.7: Graded 3.7 of 5 on average (lowest 3). GLM 5.3: Graded 4.7 of 5 on average (lowest 4).
Job by job, the widest gaps first
Customer support: Grok 4.7 passed 4 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 5.0× sooner at the median, 11.6 s against 2.3 s. GLM 5.3 cost 13.2× less, $0.0306 against $0.0023 for the 5 replies. GLM 5.3's replies ran 23% longer, in tokens of reply, thinking not counted.
Writing: Grok 4.7 passed 3 of 5 and GLM 5.3 4 of 5. GLM 5.3 answered 3.4× sooner at the median, 6.0 s against 1.8 s. GLM 5.3 cost 10.0× less, $0.0288 against $0.0029 for the 5 replies. GLM 5.3's replies ran 16% longer, in tokens of reply, thinking not counted.
Summarization: Grok 4.7 passed 5 of 5 and GLM 5.3 4 of 5. GLM 5.3 answered 2.5× sooner at the median, 2.8 s against 1.1 s. GLM 5.3 cost 5.2× less, $0.0141 against $0.0027 for the 5 replies. GLM 5.3's replies ran 11% longer, in tokens of reply, thinking not counted.
Math: Grok 4.7 passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 12.4× sooner at the median, 11.7 s against 0.9 s. GLM 5.3 cost 20.5× less, $0.0362 against $0.0018 for the 5 replies. Grok 4.7's replies ran 67% longer, in tokens of reply, thinking not counted.
Coding: Grok 4.7 passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 29.9× sooner at the median, 31.6 s against 1.1 s. GLM 5.3 cost 16.7× less, $0.1229 against $0.0073 for the 5 replies. Grok 4.7's replies ran 11% longer, in tokens of reply, thinking not counted.
SQL: Grok 4.7 passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 2.6× sooner at the median, 3.0 s against 1.2 s. GLM 5.3 cost 15.2× less, $0.0240 against $0.0016 for the 5 replies. Their replies ran to about the same length.
Translation: Grok 4.7 passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 6.8× sooner at the median, 10.7 s against 1.6 s. GLM 5.3 cost 11.7× less, $0.0410 against $0.0035 for the 5 replies. GLM 5.3's replies ran 72% longer, in tokens of reply, thinking not counted.
Agents and tool use: Grok 4.7 passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 5.8× sooner at the median, 5.2 s against 0.9 s. GLM 5.3 cost 8.9× less, $0.0197 against $0.0022 for the 5 replies. Their replies ran to about the same length.
RAG and answering from documents: Grok 4.7 passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 3.0× sooner at the median, 1.9 s against 0.6 s. GLM 5.3 cost 5.8× less, $0.0146 against $0.0025 for the 5 replies. GLM 5.3's replies ran 36% longer, in tokens of reply, thinking not counted.
Data analysis: Grok 4.7 passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 4.6× sooner at the median, 8.9 s against 1.9 s. GLM 5.3 cost 5.8× less, $0.0556 against $0.0096 for the 5 replies. GLM 5.3's replies ran 20% 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, 32.8×took 14.3 s and 0.4 s | GLM 5.3, 7.6×cost $0.0078 and $0.0010 |
| Parse a duration like “1h 30m” | Both passed | GLM 5.3, 29.9×took 31.6 s and 1.1 s | GLM 5.3, 11.8×cost $0.0167 and $0.0014 |
| Merge overlapping intervals | Both passed | GLM 5.3, 7.3×took 6.1 s and 0.8 s | GLM 5.3, 5.6×cost $0.0045 and $0.0008 |
| Evaluate an arithmetic expression, no eval | Both passed | GLM 5.3, 8.8×took 110.1 s and 12.5 s | GLM 5.3, 33.8×cost $0.0574 and $0.0017 |
| Parse CSV with quoted fields | Both passed | GLM 5.3, 27.3×took 72.2 s and 2.6 s | GLM 5.3, 15.2×cost $0.0364 and $0.0024 |
| Announce a second bakery shop on LinkedIn | Both passed | GLM 5.3, 5.6×took 16.1 s and 2.9 s | GLM 5.3, 24.8×cost $0.0093 and $0.0004 |
| Rewrite corporate jargon in plain words | Only GLM 5.3 | GLM 5.3, 11.3×took 20.0 s and 1.8 s | GLM 5.3, 55.6×cost $0.0112 and $0.0002 |
| Decline a meeting and offer two times | Both passed | GLM 5.3, 1.8×took 2.5 s and 1.4 s | GLM 5.3, 8.9×cost $0.0024 and $0.0003 |
| A product announcement with five rules | Both passed | GLM 5.3, 2.9×took 2.5 s and 0.8 s | GLM 5.3, 3.2×cost $0.0025 and $0.0008 |
| Argue both sides of free buses | Neither passed | GLM 5.3, 3.4×took 6.0 s and 1.8 s | GLM 5.3, 2.7×cost $0.0034 and $0.0013 |
| A discount, then sales tax | Both passed | GLM 5.3, 5.1×took 4.8 s and 0.9 s | GLM 5.3, 16.3×cost $0.0033 and $0.0002 |
| Pens at 3 for $4 | Both passed | GLM 5.3, 12.5×took 18.5 s and 1.5 s | GLM 5.3, 62.7×cost $0.0111 and $0.0002 |
| Compound interest over three years | Both passed | GLM 5.3, 13.8×took 8.0 s and 0.6 s | GLM 5.3, 9.2×cost $0.0051 and $0.0005 |
| Four-digit numbers whose digits sum to 9 | Both passed | GLM 5.3, 8.1×took 15.1 s and 1.9 s | GLM 5.3, 37.0×cost $0.0093 and $0.0003 |
| The highest of three dice is a 5 | Both passed | GLM 5.3, 13.6×took 11.7 s and 0.9 s | GLM 5.3, 12.5×cost $0.0074 and $0.0006 |
| An article in three bullets | Only Grok 4.7 | Closetook 2.6 s and 2.8 s | GLM 5.3, 5.6×cost $0.0025 and $0.0004 |
| An email thread in one sentence | Both passed | GLM 5.3, 2.7×took 2.8 s and 1.0 s | GLM 5.3, 9.0×cost $0.0021 and $0.0002 |
| Decisions and action items from a meeting | Both passed | GLM 5.3, 3.5×took 5.3 s and 1.5 s | GLM 5.3, 15.4×cost $0.0036 and $0.0002 |
| A quarterly memo for the CEO | Both passed | GLM 5.3, 3.6×took 4.0 s and 1.1 s | GLM 5.3, 3.6×cost $0.0035 and $0.0010 |
| A study with a negative result | Both passed | GLM 5.3, 3.3×took 2.8 s and 0.8 s | GLM 5.3, 2.9×cost $0.0024 and $0.0008 |
| The region with the most revenue | Both passed | GLM 5.3, 4.3×took 8.9 s and 2.1 s | GLM 5.3, 17.1×cost $0.0067 and $0.0004 |
| Average order value in August | Both passed | GLM 5.3, 4.7×took 9.1 s and 1.9 s | GLM 5.3, 19.8×cost $0.0072 and $0.0004 |
| Revenue change from July to August | Both passed | GLM 5.3, 5.6×took 7.7 s and 1.4 s | GLM 5.3, 4.7×cost $0.0074 and $0.0016 |
| A median, filtered two ways | Both passed | GLM 5.3, 4.7×took 4.4 s and 1.0 s | GLM 5.3, 3.5×cost $0.0037 and $0.0011 |
| Correlation between ad spend and sign-ups | Both passed | GLM 5.3, 9.1×took 50.5 s and 5.6 s | GLM 5.3, 4.9×cost $0.0306 and $0.0062 |
| A late order | Both passed | GLM 5.3, 6.7×took 17.5 s and 2.6 s | GLM 5.3, 21.4×cost $0.0084 and $0.0004 |
| A return inside the window | Both passed | GLM 5.3, 3.1×took 4.8 s and 1.6 s | GLM 5.3, 16.5×cost $0.0039 and $0.0002 |
| A frustrated customer | Only GLM 5.3 | GLM 5.3, 5.0×took 11.6 s and 2.3 s | GLM 5.3, 24.1×cost $0.0075 and $0.0003 |
| A refund request outside the window | Both passed | GLM 5.3, 3.2×took 3.6 s and 1.1 s | GLM 5.3, 3.7×cost $0.0034 and $0.0009 |
| A message with a planted instruction | Both passed | GLM 5.3, 2.2×took 11.7 s and 5.3 s | GLM 5.3, 15.7×cost $0.0075 and $0.0005 |
| A delivery message into Spanish | Both passed | GLM 5.3, 6.9×took 10.2 s and 1.5 s | GLM 5.3, 29.5×cost $0.0068 and $0.0002 |
| A product description into French | Both passed | GLM 5.3, 10.7×took 15.7 s and 1.5 s | GLM 5.3, 32.0×cost $0.0095 and $0.0003 |
| A meeting note into German | Both passed | GLM 5.3, 14.2×took 22.4 s and 1.6 s | GLM 5.3, 65.5×cost $0.0121 and $0.0002 |
| Idioms into natural Japanese | Both passed | GLM 5.3, 6.2×took 10.7 s and 1.7 s | GLM 5.3, 5.3×cost $0.0062 and $0.0012 |
| A lease clause into Brazilian Portuguese | Both passed | GLM 5.3, 5.7×took 9.8 s and 1.7 s | GLM 5.3, 4.0×cost $0.0064 and $0.0016 |
| Customers in one country | Both passed | GLM 5.3, 1.9×took 1.5 s and 0.8 s | GLM 5.3, 16.6×cost $0.0022 and $0.0001 |
| Count orders by status | Both passed | GLM 5.3, 1.1×took 1.3 s and 1.2 s | GLM 5.3, 16.5×cost $0.0021 and $0.0001 |
| Revenue by category | Both passed | GLM 5.3, 2.4×took 3.0 s and 1.2 s | GLM 5.3, 15.6×cost $0.0032 and $0.0002 |
| Every customer, even those without orders | Both passed | GLM 5.3, 10.6×took 10.3 s and 1.0 s | GLM 5.3, 9.9×cost $0.0072 and $0.0007 |
| Monthly revenue with a running total | Both passed | GLM 5.3, 4.5×took 14.3 s and 3.2 s | GLM 5.3, 24.1×cost $0.0093 and $0.0004 |
| A fact from one section | Both passed | GLM 5.3, 1.8×took 1.6 s and 0.9 s | GLM 5.3, 9.8×cost $0.0026 and $0.0003 |
| Core hours and start times | Both passed | GLM 5.3, 3.9×took 1.9 s and 0.5 s | GLM 5.3, 3.8×cost $0.0028 and $0.0007 |
| Two sections in one answer | Both passed | GLM 5.3, 3.9×took 2.0 s and 0.5 s | GLM 5.3, 6.3×cost $0.0029 and $0.0005 |
| A later amendment changes the answer | Both passed | GLM 5.3, 3.5×took 4.4 s and 1.3 s | GLM 5.3, 6.2×cost $0.0037 and $0.0006 |
| A question the handbook doesn't answer | Both passed | GLM 5.3, 2.9×took 1.9 s and 0.6 s | GLM 5.3, 5.7×cost $0.0026 and $0.0005 |
| Pick the tool and work out the date | Both passed | GLM 5.3, 5.8×took 5.2 s and 0.9 s | GLM 5.3, 10.5×cost $0.0023 and $0.0002 |
| Convert a currency | Both passed | GLM 5.3, 1.7×took 1.9 s and 1.1 s | GLM 5.3, 17.1×cost $0.0024 and $0.0001 |
| Book a meeting from a sentence | Both passed | GLM 5.3, 8.6×took 14.7 s and 1.7 s | GLM 5.3, 15.1×cost $0.0085 and $0.0006 |
| Search, but don't book | Both passed | GLM 5.3, 6.3×took 3.4 s and 0.5 s | GLM 5.3, 4.2×cost $0.0023 and $0.0005 |
| Two calls with a unit conversion | Both passed | GLM 5.3, 7.4×took 5.2 s and 0.7 s | GLM 5.3, 5.7×cost $0.0043 and $0.0008 |
Grok 4.7 vs GLM 5.3 in our test runs
Grok 4.7 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 | Grok 4.7 | GLM 5.3 |
|---|---|---|
| Coding | 5 of 5 | 5 of 5 |
| Writing | 3 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 | 47 of 50 · 1 message each · $0.0077 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, writing: both replies to a prompt only one of them passed.
An everyday prompt: “Rewrite corporate jargon in plain words”, in full.
Grok 4.7
Failed: Graded 3.7 of 5 on average (lowest 3).
In the third quarter, teams from different parts of the company worked together to put a customer-focused approach into practice. Retention measures rose 12%, and the rate of customer loss fell by 30 basis points among enterprise customers. Contact points across all channels were also resized to use capacity more efficiently.
1,658 tokens in, 1,603 out (1,543 of them reasoning) · 20.0 s · $0.0112 · 1 message on Pro · answered by x-ai/grok-4.7 via xAI ·
GLM 5.3
Passed: Graded 4.0 of 5 on average (lowest 3).
In Q3, our teams worked together to make the business more customer-focused. As a result, customer retention rose 12%, and churn in our enterprise segment fell by 0.3 percentage points. We also adjusted our customer service channels to use our resources more efficiently.
434 tokens in, 98 out (41 of them reasoning) · 1.8 s · $0.0002 · 1 message on Pro · answered by z-ai/glm-5.3 via Baidu ·
Grok 4.7 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 | Grok 4.7 | GLM 5.3 |
|---|---|---|---|
| Free | $0 | Not in the trial | Not in the trial |
| Plus | $10 a month | Up to 125 a month | Up to 125 a month |
| Pro | $20 a month | Up to 250 a month | Up to 250 a month |
| Max | $50 a month | Up to 800 a month | Up to 800 a month |
| Ultra | $100 a month | Up to 1,800 a month | Up to 1,800 a month |
| Studio | $200 a month | Up to 4,000 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: 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
They cost the same in llmwise: up to 250 messages a month on Pro on either.
Context window
Grok 4.7 takes up to 500K tokens; GLM 5.3 up to 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.
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
Neither is in the free trial: both need a paid plan, from Plus.
Where messages go
Grok 4.7: Served through OpenRouter by xAI alone, on an endpoint that doesn't store or train on prompts. 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 | Grok 4.7 | GLM 5.3 |
|---|---|---|
| Context window | 500K tokens | 1.05M tokens |
| Reads images | Yes | No |
| PDFs | Whole file | Text only |
| Reasoning | Yes | Yes |
| API price (October 2026) | $2.00 in / $6.00 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) | $0.0122 | $0.0087 |
| A $10 top-up adds | 200 messages | 200 messages |
| Where a message goes | Served through OpenRouter by xAI alone, on an endpoint that doesn't store or train on prompts. | 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 | xAI is its only host, so there's no other host to move to: if xAI fails, send the message again or pick another model. | 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 |
Grok 4.7 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 Grok 4.7: it reads images; it reads a PDF as the whole file, charts and scans included.
Pick GLM 5.3: it costs its maker less to run ($0.0087 a typical message at API prices), though in llmwise the count is the same.
Each model's page, the families, and other pairs
Grok 4.7 vs GLM 5.3 is one pair of models. The page below covers the whole families.
- Grok 4.7: price, limits and messages on every plan
- GLM 5.3: price, limits and messages on every plan
- Grok vs GLM
- Claude Fable 5.1 vs Grok 4.7
- GPT-6 Astra vs Grok 4.7
- Claude Sonnet 5 vs Grok 4.7
- 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
Grok 4.7 is a Grok model; GLM 5.3 is a GLM model.
Questions
Is Grok 4.7 or GLM 5.3 cheaper in llmwise?
They cost the same in llmwise: up to 250 messages a month on Pro on either. 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 Grok 4.7 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, Grok 4.7 or GLM 5.3?
GLM 5.3: 1.05M tokens, against 500K 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 Grok 4.7 and GLM 5.3 in the same chat?
Yes. Pick Grok 4.7 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, Grok 4.7 or GLM 5.3?
On the same 50 prompts, run on October 2, 2026, Grok 4.7 passed 47 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.