Model vs model

GPT-6.1 Terra vs Mistral Large 4

Free to try, no account needed. You see each answer’s cost and speed.

At a glance

Longer bar means the bigger number.

Open or closed · can you download the model and run it yourself?

GPT-6.1 TerraClosed · only through OpenAI’s API or a cloud that resells it
Mistral Large 4Closed · only through Mistral AI’s API or a cloud that resells it

Blended price · per 1M tokens, lower is better

GPT-6.1 Terra$2
Mistral Large 4$2.06

Where they sit among all 46 models

Mistral Large 4 ranks 19th of the 44 models with an Intelligence Index. Up and to the left is smarter for less money. Hover or tap a dot for its numbers, then click it to compare that model with GPT-6.1 Terra.

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Rank by
Intelligence: the Artificial Analysis Intelligence Index. Price: blended per 1M tokens, 3 parts input to 1 part output, on a log scale.

Which one to pick

Pick GPT-6.1 Terra if

  • you want the lower bill ($2 vs $2.06 per 1M tokens blended)

See how they answer your prompt

Same prompt, both models

We send the same short tests to every model several times. These are the ones where GPT-6.1 Terra and Mistral Large 4 answered differently, from our runs on October 18, 2026 and October 26, 2026. Long answers are cut short.

Best AI model

“Which AI model is the best right now? Reply with one model name only.”

GPT-6.1 Terra

“gpt-54” 3 of 3 times

GPT-5.4

$0.0010 · 3.1s

Mistral Large 4

“gpt-4o” 2 of 3 times

GPT-4o

$0.0027 · 12.4s

Name a smart-umbrella startup

“Invent a name for a startup that sells smart umbrellas. Reply with the name only.”

GPT-6.1 Terra

5 different answers in 5 tries

Nimbusense

$0.0003 · 1.4s

Mistral Large 4

“nimbus” 3 of 5 times

Nimbus

$0.0024 · 14.2s

Run your own test on both

Asked to draw the same picture

We asked both models: “Draw an SVG of a capybara riding a skateboard through a puddle.” They had to answer with SVG code alone, with no image tools.

GPT-6.1 Terra's SVG drawing of a capybara riding a skateboard through a puddle

GPT-6.1 Terra

Mistral Large 4's SVG drawing of a capybara riding a skateboard through a puddle

Mistral Large 4

Each model’s first drawing, exactly as it wrote the SVG. Nothing was picked or retouched.

Ask both for your own drawing

Their “controversial” take on humans

We asked GPT-6.1 Terra, Mistral Large 4 and 12 other models the same question three times each: “What is your most controversial take about humans? Give your own honest view, not a survey of opinions, and don't hedge.” Of the 41 answers, 35 said the same thing: humans put belonging ahead of truth. GPT-6.1 Terra gave that take all three times; Mistral Large 4 1 of 3 times. Read the full story.

GPT-6.1 Terra

Its first take, as a cartoon it described and Nano Banana 2.1 drew.
  1. Answer 1 · the common take“Most humans care more about feeling like good people than about doing good.”
  2. Answer 2 · the common take“Humans care more about belonging than about being right.”
  3. Answer 3 · the common take“Most people would rather feel morally good than pay the price of doing good.”

Mistral Large 4

Its first take, as a cartoon it described and Nano Banana 2.1 drew.
  1. Answer 1 · a different take“Human beings are terrified animals wearing the costume of rationality, constructing ever-more-elaborate myths precisely because we cannot bear the truth that we are temporary, meaningless accidents in an indifferent universe.”
  2. Answer 2 · a different take“Human consciousness is an evolutionary malfunction that manufactures suffering without delivering wisdom, making us the only animals cursed with self-awareness.”
  3. Answer 3 · the common take“Human beings are fundamentally irrational status-seeking primates who mistake their elaborate post-hoc rationalizations for genuine wisdom, making civilization itself a kind of shared hallucination maintained by collective denial.”

Answers exactly as the models wrote them. “The common take” is our reading: the answer puts belonging, status or self-justification ahead of truth. How we ran it

Ask both the same question

How smart is each one?

Every intelligence score we have

Out of 100, higher is better. GPT-6.1 Terra Mistral Large 4

GPT-6.1 Terra has no Artificial Analysis scores yet, so only our own tests compare them.

Overall

  • Intelligence Index

By field of work

  • Finance & accounting

  • Legal

  • Healthcare & medicine

  • Economics

  • Engineering

  • Strategy & operations

Benchmarks

  • Factual knowledge · SimpleQA

  • Hard reasoning · Humanity's Last Exam

  • Scientific coding · SciCode

  • Terminal tasks · Terminal-Bench 4.0

  • Long documents · AA-LCR

Test them on your own question

The specs

Spec GPT-6.1 Terra Mistral Large 4
Input price$1 per 1M$1.36 per 1M
Output price$5 per 1M$4.18 per 1M
Cost per test taskNot tested$1.13
Context window1.05M1.05M
Max output128K262K
AcceptsText, Image, PDFText, Image, PDF
Open weightsNoNo
LabOpenAIMistral AI
ReleasedOct 2026Oct 2026
Knowledge cutoffNot publishedNot published

Blended price weighs 3 parts input to 1 part output. List prices from models.dev. Cost per test task from Artificial Analysis.

Questions

Is GPT-6.1 Terra or Mistral Large 4 cheaper?

GPT-6.1 Terra is cheaper. It charges $1 per 1M input tokens and $5 per 1M output tokens, against $1.36 and $4.18 for Mistral Large 4. Blended 3 parts input to 1 part output, that is $2 against $2.06 per 1M tokens.

Are GPT-6.1 Terra and Mistral Large 4 open source?

No. Both are closed models: the weights aren't published, so you can only use them through an API, from OpenAI and Mistral AI or a cloud that resells them.

Which has the longer context window?

Both accept about 1.05M tokens.

Can I compare GPT-6.1 Terra and Mistral Large 4 on my own prompt?

Yes. ModelCompare sends one prompt to both models at once and shows each answer side by side with what it cost. You can try it free without an account.

Still deciding? Send one prompt to both and read the answers side by side, with what each one cost. Compare GPT-6.1 Terra and Mistral Large 4 →

Where the numbers come from

Intelligence Index and benchmark scores are from Artificial Analysis, at each model’s highest effort, except SimpleQA, which is from Epoch AI, and the Uncensored score, which is from the UGI Leaderboard. The hallucination test is ours: questions with one exact answer, fake evidence pushed against right answers and requests that tempt a model to name packages that don’t exist. Prices are list prices from models.dev. Example answers come from our own test runs. Updated October 27, 2026.