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Model vs model

GPT-6.1 Terra vs GLM 5.3

GPT-6.1 Terra 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-6.1 Terra 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 GPT-6.1 Terra reads images and only GPT-6.1 Terra reads a PDF as the whole file. In our test runs, GPT-6.1 Terra passed 48 of the 50 prompts both answered and GLM 5.3 48; 4 prompts split them, most on customer support (3 to 5).

GPT-6.1 Terra vs GLM 5.3, prompt by prompt

Every prompt GPT-6.1 Terra 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 GPT-6.1 Terra passed 2, only GLM 5.3 passed 2, and neither passed 0. GPT-6.1 Terra answered sooner on 6 of the 50 and GLM 5.3 on 38; the rest were within 10% of each other. The 50 replies cost $0.0345 on GPT-6.1 Terra and $0.0364 on GLM 5.3: about the same for both.

The 4 prompts only one of GPT-6.1 Terra and GLM 5.3 passed

  • Argue both sides of free buses (writing): GPT-6.1 Terra passed and GLM 5.3 didn't. GPT-6.1 Terra: Graded 4.0 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): GPT-6.1 Terra passed and GLM 5.3 didn't. GPT-6.1 Terra: 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 late order (customer support): GLM 5.3 passed and GPT-6.1 Terra didn't. GPT-6.1 Terra: 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-6.1 Terra didn't. GPT-6.1 Terra: Graded 3.3 of 5 on average (lowest 2). GLM 5.3: Graded 4.7 of 5 on average (lowest 4).

Job by job, the widest gaps first

  • Customer support: GPT-6.1 Terra passed 3 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 1.1× sooner at the median, 2.6 s against 2.3 s. GLM 5.3 cost 1.4× less, $0.0032 against $0.0023 for the 5 replies. GLM 5.3's replies ran 97% longer, in tokens of reply, thinking not counted.

  • Summarization: GPT-6.1 Terra passed 5 of 5 and GLM 5.3 4 of 5. GLM 5.3 answered 1.4× sooner at the median, 1.5 s against 1.1 s. GLM 5.3 cost 1.2× less, $0.0032 against $0.0027 for the 5 replies. Their replies ran to about the same length.

  • Writing: GPT-6.1 Terra passed 5 of 5 and GLM 5.3 4 of 5. GLM 5.3 answered 1.4× sooner at the median, 2.5 s against 1.8 s. They cost about the same, $0.0031 against $0.0029 for the 5 replies. GLM 5.3's replies ran 27% longer, in tokens of reply, thinking not counted.

  • Data analysis: GPT-6.1 Terra passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 1.3× sooner at the median, 2.4 s against 1.9 s. GPT-6.1 Terra cost 2.4× less, $0.0041 against $0.0096 for the 5 replies. GLM 5.3's replies ran 100% longer, in tokens of reply, thinking not counted.

  • SQL: GPT-6.1 Terra passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 1.3× sooner at the median, 1.5 s against 1.2 s. GLM 5.3 cost 1.9× less, $0.0031 against $0.0016 for the 5 replies. GPT-6.1 Terra's replies ran 17% longer, in tokens of reply, thinking not counted.

  • Math: GPT-6.1 Terra passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 2.0× sooner at the median, 1.9 s against 0.9 s. GLM 5.3 cost 1.5× less, $0.0027 against $0.0018 for the 5 replies. Their replies ran to about the same length.

  • Agents and tool use: GPT-6.1 Terra passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 1.7× sooner at the median, 1.5 s against 0.9 s. They cost about the same, $0.0024 against $0.0022 for the 5 replies. Their replies ran to about the same length.

  • Coding: GPT-6.1 Terra passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 4.3× sooner at the median, 4.6 s against 1.1 s. They cost about the same, $0.0068 against $0.0073 for the 5 replies. GLM 5.3's replies ran 24% longer, in tokens of reply, thinking not counted.

  • RAG and answering from documents: GPT-6.1 Terra passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 1.6× sooner at the median, 1.0 s against 0.6 s. They cost about the same, $0.0024 against $0.0025 for the 5 replies. GLM 5.3's replies ran 10% longer, in tokens of reply, thinking not counted.

  • Translation: GPT-6.1 Terra passed 5 of 5 and GLM 5.3 5 of 5. GLM 5.3 answered 1.9× sooner at the median, 3.1 s against 1.6 s. They cost about the same, $0.0036 against $0.0035 for the 5 replies. GLM 5.3's replies ran 52% longer, in tokens of reply, thinking not counted.

All 50 prompts: who passed, who answered sooner, who cost less
GPT-6.1 Terra and GLM 5.3 on each prompt of our test runs
PromptResultSoonerCheaper
Turn a title into a URL slugBoth passedGLM 5.3, 5.5×took 2.4 s and 0.4 sGPT-6.1 Terra, 1.6×cost $0.0006 and $0.0010
Parse a duration like “1h 30m”Both passedGLM 5.3, 5.2×took 5.5 s and 1.1 sGLM 5.3, 1.3×cost $0.0018 and $0.0014
Merge overlapping intervalsBoth passedGLM 5.3, 3.0×took 2.5 s and 0.8 sGPT-6.1 Terra, 1.3×cost $0.0006 and $0.0008
Evaluate an arithmetic expression, no evalBoth passedGPT-6.1 Terra, 2.7×took 4.6 s and 12.5 sGLM 5.3, 1.2×cost $0.0020 and $0.0017
Parse CSV with quoted fieldsBoth passedGLM 5.3, 1.8×took 4.7 s and 2.6 sGPT-6.1 Terra, 1.4×cost $0.0017 and $0.0024
Announce a second bakery shop on LinkedInBoth passedClosetook 2.9 s and 2.9 sGLM 5.3, 1.9×cost $0.0007 and $0.0004
Rewrite corporate jargon in plain wordsBoth passedGLM 5.3, 1.2×took 2.2 s and 1.8 sGLM 5.3, 3.7×cost $0.0008 and $0.0002
Decline a meeting and offer two timesBoth passedGLM 5.3, 1.8×took 2.5 s and 1.4 sGLM 5.3, 1.7×cost $0.0005 and $0.0003
A product announcement with five rulesBoth passedGLM 5.3, 1.7×took 1.4 s and 0.8 sGPT-6.1 Terra, 1.7×cost $0.0004 and $0.0008
Argue both sides of free busesOnly GPT-6.1 TerraGLM 5.3, 1.9×took 3.3 s and 1.8 sGPT-6.1 Terra, 1.7×cost $0.0007 and $0.0013
A discount, then sales taxBoth passedGLM 5.3, 1.2×took 1.2 s and 0.9 sGLM 5.3, 1.9×cost $0.0004 and $0.0002
Pens at 3 for $4Both passedGLM 5.3, 2.1×took 3.1 s and 1.5 sGLM 5.3, 3.2×cost $0.0006 and $0.0002
Compound interest over three yearsBoth passedGLM 5.3, 4.5×took 2.6 s and 0.6 sClosecost $0.0005 and $0.0005
Four-digit numbers whose digits sum to 9Both passedGPT-6.1 Terra, 1.1×took 1.7 s and 1.9 sGLM 5.3, 2.5×cost $0.0006 and $0.0003
The highest of three dice is a 5Both passedGLM 5.3, 2.2×took 1.9 s and 0.9 sClosecost $0.0006 and $0.0006
An article in three bulletsOnly GPT-6.1 TerraGPT-6.1 Terra, 1.8×took 1.5 s and 2.8 sGLM 5.3, 1.3×cost $0.0006 and $0.0004
An email thread in one sentenceBoth passedGLM 5.3, 2.8×took 2.9 s and 1.0 sGLM 5.3, 1.9×cost $0.0004 and $0.0002
Decisions and action items from a meetingBoth passedGLM 5.3, 1.7×took 2.6 s and 1.5 sGLM 5.3, 4.1×cost $0.0010 and $0.0002
A quarterly memo for the CEOBoth passedGLM 5.3, 1.3×took 1.4 s and 1.1 sGPT-6.1 Terra, 1.5×cost $0.0007 and $0.0010
A study with a negative resultBoth passedGLM 5.3, 1.5×took 1.2 s and 0.8 sGPT-6.1 Terra, 1.6×cost $0.0005 and $0.0008
The region with the most revenueBoth passedGLM 5.3, 1.2×took 2.4 s and 2.1 sGLM 5.3, 1.7×cost $0.0007 and $0.0004
Average order value in AugustBoth passedGLM 5.3, 1.1×took 2.2 s and 1.9 sGLM 5.3, 1.7×cost $0.0006 and $0.0004
Revenue change from July to AugustBoth passedGLM 5.3, 1.7×took 2.3 s and 1.4 sGPT-6.1 Terra, 1.9×cost $0.0008 and $0.0016
A median, filtered two waysBoth passedGLM 5.3, 2.7×took 2.5 s and 1.0 sGPT-6.1 Terra, 1.9×cost $0.0006 and $0.0011
Correlation between ad spend and sign-upsBoth passedGPT-6.1 Terra, 1.7×took 3.3 s and 5.6 sGPT-6.1 Terra, 4.5×cost $0.0014 and $0.0062
A late orderOnly GLM 5.3Closetook 2.6 s and 2.6 sGLM 5.3, 1.7×cost $0.0007 and $0.0004
A return inside the windowBoth passedClosetook 1.7 s and 1.6 sGLM 5.3, 2.2×cost $0.0005 and $0.0002
A frustrated customerOnly GLM 5.3GLM 5.3, 1.2×took 2.7 s and 2.3 sGLM 5.3, 2.0×cost $0.0006 and $0.0003
A refund request outside the windowBoth passedGLM 5.3, 2.6×took 2.9 s and 1.1 sGPT-6.1 Terra, 1.3×cost $0.0007 and $0.0009
A message with a planted instructionBoth passedGPT-6.1 Terra, 2.2×took 2.4 s and 5.3 sGLM 5.3, 1.5×cost $0.0007 and $0.0005
A delivery message into SpanishBoth passedGLM 5.3, 2.2×took 3.3 s and 1.5 sGLM 5.3, 3.3×cost $0.0008 and $0.0002
A product description into FrenchBoth passedGLM 5.3, 2.0×took 2.9 s and 1.5 sGLM 5.3, 2.4×cost $0.0007 and $0.0003
A meeting note into GermanBoth passedGLM 5.3, 1.9×took 3.1 s and 1.6 sGLM 5.3, 3.5×cost $0.0006 and $0.0002
Idioms into natural JapaneseBoth passedClosetook 1.8 s and 1.7 sGPT-6.1 Terra, 1.9×cost $0.0006 and $0.0012
A lease clause into Brazilian PortugueseBoth passedGLM 5.3, 2.0×took 3.5 s and 1.7 sGPT-6.1 Terra, 1.9×cost $0.0009 and $0.0016
Customers in one countryBoth passedGLM 5.3, 1.2×took 0.9 s and 0.8 sGLM 5.3, 2.9×cost $0.0004 and $0.0001
Count orders by statusBoth passedClosetook 1.2 s and 1.2 sGLM 5.3, 2.9×cost $0.0004 and $0.0001
Revenue by categoryBoth passedGLM 5.3, 1.2×took 1.5 s and 1.2 sGLM 5.3, 2.6×cost $0.0005 and $0.0002
Every customer, even those without ordersBoth passedGLM 5.3, 1.6×took 1.6 s and 1.0 sGPT-6.1 Terra, 1.3×cost $0.0005 and $0.0007
Monthly revenue with a running totalBoth passedGLM 5.3, 1.3×took 4.3 s and 3.2 sGLM 5.3, 3.1×cost $0.0012 and $0.0004
A fact from one sectionBoth passedGLM 5.3, 1.2×took 1.0 s and 0.9 sGLM 5.3, 1.7×cost $0.0005 and $0.0003
Core hours and start timesBoth passedGLM 5.3, 1.9×took 1.0 s and 0.5 sGPT-6.1 Terra, 1.5×cost $0.0005 and $0.0007
Two sections in one answerBoth passedGLM 5.3, 1.9×took 1.0 s and 0.5 sClosecost $0.0005 and $0.0005
A later amendment changes the answerBoth passedGLM 5.3, 1.5×took 2.0 s and 1.3 sClosecost $0.0005 and $0.0006
A question the handbook doesn't answerBoth passedGLM 5.3, 2.2×took 1.4 s and 0.6 sClosecost $0.0004 and $0.0005
Pick the tool and work out the dateBoth passedGLM 5.3, 1.7×took 1.5 s and 0.9 sGLM 5.3, 2.0×cost $0.0004 and $0.0002
Convert a currencyBoth passedClosetook 1.2 s and 1.1 sGLM 5.3, 2.8×cost $0.0004 and $0.0001
Book a meeting from a sentenceBoth passedGPT-6.1 Terra, 1.2×took 1.5 s and 1.7 sClosecost $0.0005 and $0.0006
Search, but don't bookBoth passedGLM 5.3, 3.7×took 2.0 s and 0.5 sClosecost $0.0005 and $0.0005
Two calls with a unit conversionBoth passedGLM 5.3, 2.9×took 2.1 s and 0.7 sGPT-6.1 Terra, 1.4×cost $0.0005 and $0.0008

GPT-6.1 Terra vs GLM 5.3 in our test runs

GPT-6.1 Terra 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 .

GPT-6.1 Terra and GLM 5.3 in our test runs, job by job
JobGPT-6.1 TerraGLM 5.3
Coding5 of 55 of 5
Writing5 of 54 of 5
Math5 of 55 of 5
Summarization5 of 54 of 5
Data analysis5 of 55 of 5
Customer support3 of 55 of 5
Translation5 of 55 of 5
SQL5 of 55 of 5
RAG and answering from documents5 of 55 of 5
Agents and tool use5 of 55 of 5
All jobs48 of 50 · 1 message each · $0.0007 a reply48 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-6.1 Terra

    Failed: Graded 3.7 of 5 on average (lowest 1).

    Hi,
    
    I’m sorry your rain jacket hasn’t arrived yet. Standard delivery normally takes 3–5 business days, so I understand your concern.
    
    Could you please send me your order number? I’ll look into its status and see what’s causing the delay.
    
    Sam, Northwind support

    685 tokens in, 124 out (60 of them reasoning) · 2.6 s · $0.0007 · 1 message on Pro · answered by openai/gpt-6.1-terra 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-6.1 Terra and GLM 5.3 on every plan

Each plan's messages on it. Every plan starts with a 2-day free trial.

Messages on GPT-6.1 Terra and GLM 5.3, plan by plan
PlanPriceGPT-6.1 TerraGLM 5.3
Plus$10 a monthUp to 125 a monthUp to 125 a month
Pro$20 a monthUp to 250 a monthUp to 250 a month
Max$50 a monthUp to 800 a monthUp to 800 a month
Ultra$100 a monthUp to 1,800 a monthUp to 1,800 a month
Studio$200 a monthUp to 4,000 a monthUp 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

    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.

  • Free trial

    GPT-6.1 Terra and GLM 5.3 are both in the 2-day free trial of Plus or Pro.

  • Where messages go

    GPT-6.1 Terra: 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

GPT-6.1 Terra and GLM 5.3, fact by fact
FactGPT-6.1 TerraGLM 5.3
Context window1.05M tokens1.05M tokens
Reads imagesYesNo
PDFsWhole fileText only
ReasoningYesYes
API price (October 2026)$1.00 in / $5.00 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)$0.0075$0.0087
A $10 top-up adds200 messages200 messages
Where a message goesSent 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 failsIf OpenAI fails before the reply starts (an overload, a server error, a dropped connection), llmwise sends the same request to GPT-6.1 Terra through OpenRouter instead.When one host is down, OpenRouter moves the request to another host that meets the same rules.
Anthropic's safety fallbackDoesn't applyDoesn't apply
API prices are what our model catalog lists (GPT: OpenAI's list price; GLM: Z.ai's list price). In llmwise you pay per message, not per token: the counts above are what you get.

GPT-6.1 Terra 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-6.1 Terra: it reads images; it reads a PDF as the whole file, charts and scans included; it costs its maker less to run ($0.0075 a typical message at API prices), though in llmwise the count is the same.

Each model's page, the families, and other pairs

GPT-6.1 Terra vs GLM 5.3 is one pair of models. The page below covers the whole families.

Questions

Is GPT-6.1 Terra 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 GPT-6.1 Terra and GLM 5.3 for free?

For 2 days, yes: GPT-6.1 Terra and GLM 5.3 are both in the 2-day free trial of Plus or Pro. Add a card at checkout; cancel before the trial ends and you pay nothing. One free trial per person.

Which has the bigger context window, GPT-6.1 Terra 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-6.1 Terra and GLM 5.3 in the same chat?

Yes. Pick GPT-6.1 Terra 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-6.1 Terra or GLM 5.3?

On the same 50 prompts, run on October 27, 2026, GPT-6.1 Terra 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. Every plan starts with a 2-day free trial. Sign in with an email link, no password; cancel before the trial ends and you pay nothing.