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GPT-6.1 Terra · Math

GPT-6.1 Terra for math: our test runs

GPT-6.1 Terra ran our 5 math 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.

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 math 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 $0.0005 to run on average.

Prompt by prompt

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

GPT-6.1 Terra on each math prompt
PromptResultCostTime
A discount, then sales taxEverydayPassed: Final answer 66: right.$0.00041.2 s
Pens at 3 for $4EverydayPassed: Final answer 3 deals and 1 single pen, for 13.50.: right.$0.00063.1 s
Compound interest over three yearsEverydayPassed: Final answer 315.25: right.$0.00052.6 s
Four-digit numbers whose digits sum to 9HardPassed: Final answer 165: right.$0.00061.7 s
The highest of three dice is a 5HardPassed: Final answer 61/216: right.$0.00061.9 s

Every math reply from GPT-6.1 Terra

  1. A discount, then sales tax

    An everyday prompt: “A discount, then sales tax”, in full.

    Passed: Final answer 66: right.

    Discounted price: $80 × 0.75 = $60  
    With tax: $60 × 1.10 = $66
    
    Final answer: $66

    574 tokens in, 38 out · 1.2 s · $0.0004 · 1 message on Pro · answered by openai/gpt-6.1-terra via OpenAI ·

  2. Pens at 3 for $4

    An everyday prompt: “Pens at 3 for $4”, in full.

    Passed: Final answer 3 deals and 1 single pen, for 13.50.: right.

    A 3-pen deal costs $4, less than the $4.50 cost of three single pens. So buy as many 3-pen deals as possible:
    
    3 deals (9 pens) + 1 single pen = $12 + $1.50 = $13.50.
    
    Final answer: 3 deals and 1 single pen, for $13.50.

    576 tokens in, 113 out (29 of them reasoning) · 3.1 s · $0.0006 · 1 message on Pro · answered by openai/gpt-6.1-terra via OpenAI ·

  3. Compound interest over three years

    An everyday prompt: “Compound interest over three years”, in full.

    Passed: Final answer 315.25: right.

    Balance after 3 years: $2,000 × 1.05³ = $2,315.25  
    Interest earned: $2,315.25 − $2,000 = $315.25
    
    Final answer: $315.25

    576 tokens in, 85 out (28 of them reasoning) · 2.6 s · $0.0005 · 1 message on Pro · answered by openai/gpt-6.1-terra via OpenAI ·

  4. Four-digit numbers whose digits sum to 9

    A hard prompt: “Four-digit numbers whose digits sum to 9”, in full.

    Passed: Final answer 165: right.

    Let the digits be \(a,b,c,d\), where \(a\ge 1\). Set \(a'=a-1\). Then
    
    \[
    a'+b+c+d=8.
    \]
    
    By stars and bars, the number of nonnegative integer solutions is
    
    \[
    \binom{8+4-1}{4-1}=\binom{11}{3}=165.
    \]
    
    All solutions satisfy the digit limits.
    
    Final answer: 165

    552 tokens in, 145 out (42 of them reasoning) · 1.7 s · $0.0006 · 1 message on Pro · answered by openai/gpt-6.1-terra via OpenAI ·

  5. The highest of three dice is a 5

    A hard prompt: “The highest of three dice is a 5”, in full.

    Passed: Final answer 61/216: right.

    There are \(6^3 = 216\) possible outcomes. Of these, \(5^3\) have all dice at most 5, and \(4^3\) have all dice at most 4. So the probability is
    
    \[
    \frac{5^3-4^3}{6^3}=\frac{61}{216}.
    \]
    
    Final answer: 61/216

    567 tokens in, 112 out (22 of them reasoning) · 1.9 s · $0.0006 · 1 message on Pro · answered by openai/gpt-6.1-terra via OpenAI ·

How it compares on math

GPT-6.1 Terra beside the job's picks among every model. 20 models share the hard-problems pick, GPT-6.1 Terra among them.

GPT-6.1 Terra beside other models on math
ModelPassedOn ProCost per reply
GLM 5.3Our pick: hard problems (shared), best value5 of 5250 a month on Pro$0.0004
Claude Haiku 5.5Our pick: hard problems (shared), everyday5 of 560 a day on Pro$0.0001
GPT-6.1 TerraOur pick: hard problems (shared)5 of 5250 a month on Pro$0.0005
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 math

GPT-6.1 Terra against each model on the same 5 math 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 2.5× sooner (1.9 s to 4.6 s), cost 21.9× less, and passed 5 of 5 to its 5.

  • Against Claude Opus 5.5: GPT-6.1 Terra answered 2.1× sooner (1.9 s to 3.9 s), cost 11.2× less, and passed 5 of 5 to its 5.

  • Against Claude Sonnet 5.5: GPT-6.1 Terra answered 1.1× later (1.9 s to 1.7 s), cost 4.6× less, and passed 5 of 5 to its 5.

  • Against Claude Sonnet 5: GPT-6.1 Terra answered 2.1× sooner (1.9 s to 3.9 s), cost 6.2× less, and passed 5 of 5 to its 5.

  • Against Claude Haiku 5.5: GPT-6.1 Terra answered within 10% of its time (1.9 s to 1.7 s), cost 3.6× more, and passed 5 of 5 to its 5.

  • Against Claude Haiku 4.5: GPT-6.1 Terra answered 1.2× sooner (1.9 s to 2.2 s), cost 2.9× less, and passed 5 of 5 to its 5.

  • Against GPT-6 Astra: GPT-6.1 Terra answered 1.4× sooner (1.9 s to 2.6 s), cost 16.1× less, and passed 5 of 5 to its 5.

  • Against GPT-6.1 Sol: GPT-6.1 Terra answered within 10% of its time (1.9 s to 1.8 s), cost 1.6× less, and passed 5 of 5 to its 5.

  • Against GPT-6 Sol: GPT-6.1 Terra answered 1.2× sooner (1.9 s to 2.2 s), cost 3.4× less, and passed 5 of 5 to its 5.

  • Against GPT-6 Luna: GPT-6.1 Terra answered 1.2× sooner (1.9 s to 2.2 s), cost 5.4× more, and passed 5 of 5 to its 4. Only GPT-6.1 Terra passed Pens at 3 for $4.

  • Against Gemini 4 Argon: GPT-6.1 Terra answered 2.3× sooner (1.9 s to 4.4 s), cost 2.9× less, and passed 5 of 5 to its 5.

  • Against Gemini 3.1 Pro (preview): GPT-6.1 Terra answered 4.4× sooner (1.9 s to 8.3 s), cost 18.9× less, and passed 5 of 5 to its 5.

  • Against Gemini 3.8 Flash: GPT-6.1 Terra answered 2.5× sooner (1.9 s to 4.7 s), cost 2.7× less, and passed 5 of 5 to its 5.

  • Against DeepSeek V4.1 Flash: GPT-6.1 Terra answered 2.0× later (1.9 s to 0.9 s), cost 2.1× more, and passed 5 of 5 to its 5.

  • Against DeepSeek V4 Pro: GPT-6.1 Terra answered 1.4× sooner (1.9 s to 2.7 s), cost 1.7× less, and passed 5 of 5 to its 5.

  • Against Grok 4.7: GPT-6.1 Terra answered 6.2× sooner (1.9 s to 11.7 s), cost 13.6× less, and passed 5 of 5 to its 5.

  • Against Kimi K3: GPT-6.1 Terra answered 2.9× sooner (1.9 s to 5.4 s), cost 7.0× less, and passed 5 of 5 to its 5.

  • Against GLM 5.3: GPT-6.1 Terra answered 2.0× later (1.9 s to 0.9 s), cost 1.5× more, and passed 5 of 5 to its 5.

  • Against GLM 5.3 Flash: GPT-6.1 Terra answered 1.4× sooner (1.9 s to 2.7 s), cost 3.5× more, and passed 5 of 5 to its 5.

  • Against Mistral Large 4: GPT-6.1 Terra answered 2.7× sooner (1.9 s to 5.1 s), cost 3.4× less, and passed 5 of 5 to its 5.

How these runs were done

Final answer. Automatic. The reply's last “Final answer:” line must hold the right value.

How the runs were done, and every math prompt.

GPT-6.1 Terra, and math, elsewhere

Questions

Is GPT-6.1 Terra good for math?

In our test runs it passed 5 of 5 math 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 math 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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