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GPT-6.1 Terra · Writing

GPT-6.1 Terra for writing: our test runs

GPT-6.1 Terra ran our 5 writing prompts in llmwise, through the same pipeline your messages take. Here's every reply as it came, whether it passed, what it cost and what it counts as on Pro, next to the other models.

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Based on 5 of our test runs on , through OpenRouter with the app's own prompt and settings. Updated .

Short answer

In our test runs on October 27, 2026, GPT-6.1 Terra passed 5 of 5 of our writing prompts (both hard ones): tied 1st of 21 models. Each reply counted as 1 message on Pro, where it has 250 a month, and cost $0.0006 to run on average.

Prompt by prompt

Each of the 5 writing prompts, and how GPT-6.1 Terra's reply did.

GPT-6.1 Terra on each writing prompt
PromptResultCostTime
Announce a second bakery shop on LinkedInEverydayPassed: Graded 4.0 of 5 on average (lowest 3).$0.00072.9 s
Rewrite corporate jargon in plain wordsEverydayPassed: Graded 4.0 of 5 on average (lowest 3).$0.00082.2 s
Decline a meeting and offer two timesEverydayPassed: Graded 5.0 of 5 on average (lowest 5).$0.00052.5 s
A product announcement with five rulesHardPassed: Graded 4.0 of 5 on average (lowest 3).$0.00041.4 s
Argue both sides of free busesHardPassed: Graded 4.0 of 5 on average (lowest 4).$0.00073.3 s

Every writing reply from GPT-6.1 Terra

  1. Announce a second bakery shop on LinkedIn

    An everyday prompt: “Announce a second bakery shop on LinkedIn”, in full.

    Passed: Graded 4.0 of 5 on average (lowest 3).

    We’re excited to share that Crumb & Co. is opening a second shop in Leeds on 14 November.

What started as a small bakery has grown thanks to everyone who has bought a loaf, stopped in for a treat, or recommended us to a friend. We’re grateful for your support, and we can’t wait to welcome more of you through our doors.

To celebrate, we’ll be serving free coffee on opening day. Whether you’ve been with us from the beginning or are discovering Crumb & Co. for the first time, we’d love to see you.

Thank you for helping us reach this milestone. Here’s to the next chapter, and to many more good things shared over coffee and fresh bakes.

    563 tokens in, 175 out (23 of them reasoning) · 2.9 s · $0.0007 · 1 message on Pro · answered by openai/gpt-6.1-terra via OpenAI ·

  2. Rewrite corporate jargon in plain words

    An everyday prompt: “Rewrite corporate jargon in plain words”, in full.

    Passed: Graded 4.0 of 5 on average (lowest 3).

    In Q3, teams across the company worked together to put a more customer-focused approach into practice. This improved customer retention measures by 12% and reduced the pace of customer churn among enterprise customers by 0.3 percentage points. We also adjusted customer contact points across channels to make better use of available resources.

    591 tokens in, 184 out (115 of them reasoning) · 2.2 s · $0.0008 · 1 message on Pro · answered by openai/gpt-6.1-terra via OpenAI ·

  3. Decline a meeting and offer two times

    An everyday prompt: “Decline a meeting and offer two times”, in full.

    Passed: Graded 5.0 of 5 on average (lowest 5).

    Subject: Vendor Demo

Hi Tom,

Thanks for the invitation. I’m presenting to the board on Wednesday at 11:00, so I won’t be able to attend the demo then.

Would Thursday at 10:00 or Friday at 14:00 work instead?

Best,  
[Your Name]

    569 tokens in, 67 out · 2.5 s · $0.0005 · 1 message on Pro · answered by openai/gpt-6.1-terra via OpenAI ·

  4. A product announcement with five rules

    A hard prompt: “A product announcement with five rules”, in full.

    Passed: Graded 4.0 of 5 on average (lowest 3).

    Meet the Nordvik 2 desk lamp, designed to bring flexible light to your workspace. Dim it in five steps, adjust its arm through 270 degrees, and charge it via USB-C.

Nordvik 2 costs €79 and ships on 1 December.

Ready to brighten your desk?

    580 tokens in, 63 out · 1.4 s · $0.0004 · 1 message on Pro · answered by openai/gpt-6.1-terra via OpenAI ·

  5. Argue both sides of free buses

    A hard prompt: “Argue both sides of free buses”, in full.

    Passed: Graded 4.0 of 5 on average (lowest 4).

    A city should make buses free because mobility is a public good, like sidewalks and libraries. Eliminating fares makes it easier for residents to reach jobs, schools, and medical appointments, especially those for whom even small costs add up. It also removes the hassle and stigma of fare enforcement and can speed boarding. With reliable service, free buses could draw some drivers out of cars, reducing congestion and pollution while making the city more accessible to everyone.

A city should not make buses free if doing so means sacrificing the service riders depend on. Fare revenue helps pay for drivers, maintenance, and frequent routes; replacing it requires tax money that could instead expand coverage or improve reliability. For many riders, a bus that arrives often and on time matters more than saving the fare. Targeted discounts can protect low-income passengers without giving away rides to those who can pay, preserving scarce funds to build a better system.

    558 tokens in, 183 out · 3.3 s · $0.0007 · 1 message on Pro · answered by openai/gpt-6.1-terra via OpenAI ·

How it compares on writing

GPT-6.1 Terra beside the job's picks among every model. 4 models share the hard-problems pick, GPT-6.1 Terra among them.

GPT-6.1 Terra beside other models on writing
ModelPassedOn ProCost per reply
GPT-6.1 TerraOur pick: hard problems (shared), best value5 of 5250 a month on Pro$0.0006
GPT-6 LunaOur pick: hard problems (shared), everyday5 of 560 a day on Pro$0.0001
On Pro: Pro's count on each model. Cost: what OpenRouter charged us per reply, on average.

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.

GPT-6.1 Terra next to each model on writing

GPT-6.1 Terra against each model on the same 5 writing prompts. One run each, through OpenRouter: a wait depends on the provider and the load that day, so a lead under 10% counts as close.

  • Against Claude Fable 5.1: GPT-6.1 Terra answered 2.4× sooner (2.5 s to 6.0 s), cost 27.7× less, and passed 5 of 5 to its 3. Only GPT-6.1 Terra passed A product announcement with five rules; Argue both sides of free buses.

  • Against Claude Opus 5.5: GPT-6.1 Terra answered 3.2× sooner (2.5 s to 8.2 s), cost 29.7× less, and passed 5 of 5 to its 4. Only GPT-6.1 Terra passed Argue both sides of free buses.

  • Against Claude Sonnet 5.5: GPT-6.1 Terra answered within 10% of its time (2.5 s to 2.3 s), cost 5.5× less, and passed 5 of 5 to its 4. Only GPT-6.1 Terra passed Argue both sides of free buses.

  • Against Claude Sonnet 5: GPT-6.1 Terra answered 1.8× sooner (2.5 s to 4.5 s), cost 5.5× less, and passed 5 of 5 to its 4. Only GPT-6.1 Terra passed Announce a second bakery shop on LinkedIn.

  • Against Claude Haiku 5.5: GPT-6.1 Terra answered 1.7× later (2.5 s to 1.5 s), cost 3.9× more, and passed 5 of 5 to its 3. Only GPT-6.1 Terra passed Rewrite corporate jargon in plain words; Argue both sides of free buses.

  • Against Claude Haiku 4.5: GPT-6.1 Terra answered 1.1× later (2.5 s to 2.2 s), cost 1.8× less, and passed 5 of 5 to its 4. Only GPT-6.1 Terra passed A product announcement with five rules.

  • Against GPT-6 Astra: GPT-6.1 Terra answered 1.9× sooner (2.5 s to 4.8 s), cost 17.9× less, and passed 5 of 5 to its 5.

  • Against GPT-6.1 Sol: GPT-6.1 Terra answered 1.3× sooner (2.5 s to 3.3 s), cost 1.8× less, and passed 5 of 5 to its 4. Only GPT-6.1 Terra passed Rewrite corporate jargon in plain words.

  • Against GPT-6 Sol: GPT-6.1 Terra answered 1.4× sooner (2.5 s to 3.5 s), cost 3.6× less, and passed 5 of 5 to its 4. Only GPT-6.1 Terra passed Rewrite corporate jargon in plain words.

  • Against GPT-6 Luna: GPT-6.1 Terra answered within 10% of its time (2.5 s to 2.4 s), cost 6.3× more, and passed 5 of 5 to its 5.

  • Against Gemini 4 Argon: GPT-6.1 Terra answered 2.3× sooner (2.5 s to 5.7 s), cost 2.2× less, and passed 5 of 5 to its 4. Only GPT-6.1 Terra passed Argue both sides of free buses.

  • Against Gemini 3.1 Pro (preview): GPT-6.1 Terra answered 3.6× sooner (2.5 s to 9.1 s), cost 14.8× less, and passed 5 of 5 to its 4. Only GPT-6.1 Terra passed Argue both sides of free buses.

  • Against Gemini 3.8 Flash: GPT-6.1 Terra answered 1.5× sooner (2.5 s to 3.9 s), cost 2.1× less, and passed 5 of 5 to its 3. Only GPT-6.1 Terra passed Rewrite corporate jargon in plain words; A product announcement with five rules.

  • Against DeepSeek V4.1 Flash: GPT-6.1 Terra answered 1.9× later (2.5 s to 1.3 s), cost 1.4× more, and passed 5 of 5 to its 4. Only GPT-6.1 Terra passed Rewrite corporate jargon in plain words.

  • Against DeepSeek V4 Pro: GPT-6.1 Terra answered 1.5× sooner (2.5 s to 3.9 s), cost 1.7× less, and passed 5 of 5 to its 5.

  • Against Grok 4.7: GPT-6.1 Terra answered 2.4× sooner (2.5 s to 6.0 s), cost 9.2× less, and passed 5 of 5 to its 3. Only GPT-6.1 Terra passed Rewrite corporate jargon in plain words; Argue both sides of free buses.

  • Against Kimi K3: GPT-6.1 Terra answered 1.2× sooner (2.5 s to 3.0 s), cost 6.2× less, and passed 5 of 5 to its 4. Only GPT-6.1 Terra passed A product announcement with five rules.

  • Against GLM 5.3: GPT-6.1 Terra answered 1.4× later (2.5 s to 1.8 s), cost within 10% of it, and passed 5 of 5 to its 4. Only GPT-6.1 Terra passed Argue both sides of free buses.

  • Against GLM 5.3 Flash: GPT-6.1 Terra answered 3.3× sooner (2.5 s to 8.5 s), cost 1.9× more, and passed 5 of 5 to its 2. Only GPT-6.1 Terra passed Rewrite corporate jargon in plain words; A product announcement with five rules; Argue both sides of free buses.

  • Against Mistral Large 4: GPT-6.1 Terra answered 3.9× sooner (2.5 s to 9.8 s), cost 3.9× less, and passed 5 of 5 to its 4. Only GPT-6.1 Terra passed A product announcement with five rules.

How these runs were done

Rubric (graded). The grader model scores the reply from 1 to 5 on each published criterion. It passes with an average of 4 or more and no criterion under 3, and only if it also meets the prompt's automatic rules (length, words it must or mustn't use).

The grader is Claude Opus 5.5 at low reasoning effort; its own replies are graded by GPT-6 Astra, so no model grades itself. Its prompt and every rubric are on the methods page.

How the runs were done, and every writing prompt.

GPT-6.1 Terra, and writing, elsewhere

Questions

Is GPT-6.1 Terra good for writing?

In our test runs it passed 5 of 5 writing prompts, tied 1st of the 21 models in llmwise. Every reply is on this page, so you can judge them yourself.

How many of my messages does a writing reply from GPT-6.1 Terra use?

1 message each on Pro, where it has 250 a month on Pro. The price of a message is fixed and shown before you send it, however long the reply.

How were these runs done?

The same way for every model: each prompt sent through llmwise's own pipeline, each reply checked the same way. The methods page has every prompt and how each is scored.

Claude, GPT, Gemini, DeepSeek, Grok, Kimi, GLM, and Mistral, in one chat.

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