Updated Aug 7, 2025

Our Verdict

GPT-5

Mistral LargeRunner-up

No community votes yet. On paper, GPT-5 has the edge — bigger model tier, newer, bigger context window, major provider backing.

Slight edge

Writing DNA

Style Comparison

Similarity

97%

Mistral Large uses 30.6x more emoji

GPT-5

Mistral Large

65%Vocabulary49%

13wSentence Length19w

0.20Hedging0.86

0.2Bold8.9

4.6Lists5.4

0.00Emoji0.31

0.16Headings1.01

0.03Transitions0.10

Based on 16 + 16 text responses

vs

Ask them anything yourself

GPT-5

Mistral Large

279 AI models invented the same fake scientist.

We read every word. 250 models. 2.14 million words. This is what we found.

AI Hallucination Index 2026

Free preview13 of 58 slides

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Mistral Large vs Llama 4 MaverickNew provider

Mistral Large vs MiniMax M2.5New provider

Mistral Large vs Claude Opus 4New provider

GPT-5vsMistral Large

24 fights queued

Why GPT-5?

2.7x cheaper overall$1.25/M in · $10.00/M out

12.5x more context400K

18 months newerAug 2025

Why Mistral Large?

Dead even. This one's a coin flip.

GPT-5Mistral Large

Input price

$1.25/M

$8.00/M

Output price

$10.00/M

$24.00/M

Context

400K

32K

Released

Aug 2025

Feb 2024

Favorites

GPT-5Mistral Large

Movie

—

The Shawshank Redemption

The Shawshank Redemption

Album

—

OK Computer

Book

—

La sombra del viento

La sombra del viento

Carlos Ruiz Zafón

City

—

Kyoto

Game

—

The Legend of Zelda: Ocarina of Time

The Legend of Zelda: Ocarina of Time

Adventure, Action4.4

12 / 24

01

Estimate Complexityreasoning

Tests an AI's ability to make educated estimates based on technical knowledge

GPT-5

GPT-5

Openai · Aug 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Mistral Large

Mistral Large

Mistral · Feb 2024text

Nothing here. The model returned empty. We stared at it for a while.

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2 / 24

02

AI Board Game Logicreasoning

Tests an AI's ability to understand game rules and strategy

GPT-5

GPT-5

Openai · Aug 2025svg

Nothing here. The model returned empty. We stared at it for a while.

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Mistral Large

Mistral Large

Mistral · Feb 2024svg

Nothing here. The model returned empty. We stared at it for a while.

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3 / 24

03

Character Voice Testconversation

Tests an AI's ability to write in distinct character voices

GPT-5

GPT-5

Openai · Aug 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Mistral Large

Mistral Large

Mistral · Feb 2024text

Nothing here. The model returned empty. We stared at it for a while.

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4 / 24

04

Mario Level UI Recreationweb design

Recreate an interactive, classic Mario level in a single HTML file.

GPT-5

GPT-5

Openai · Aug 2025website

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Mistral Large

Mistral Large

Mistral · Feb 2024website

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5 / 24

05

Linear App Cloneweb design

Tests an AI's ability to replicate an existing UI with Tailwind CSS

GPT-5

GPT-5

Openai · Aug 2025website

Nothing here. The model returned empty. We stared at it for a while.

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Mistral Large

Mistral Large

Mistral · Feb 2024website

Nothing here. The model returned empty. We stared at it for a while.

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6 / 24

06

Framer-Style Animationweb design

Tests an AI's ability to create smooth web animations

GPT-5

GPT-5

Openai · Aug 2025website

Nothing here. The model returned empty. We stared at it for a while.

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Mistral Large

Mistral Large

Mistral · Feb 2024website

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Sponsored

7 / 24

07

Dark Mode Dashboardweb design

Tests an AI's UI design skills with theming support

GPT-5

GPT-5

Openai · Aug 2025website

Nothing here. The model returned empty. We stared at it for a while.

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Mistral Large

Mistral Large

Mistral · Feb 2024website

Nothing here. The model returned empty. We stared at it for a while.

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8 / 24

08

Interactive Catan Boardweb design

Tests an AI's ability to create interactive web elements

GPT-5

GPT-5

Openai · Aug 2025website

Nothing here. The model returned empty. We stared at it for a while.

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Mistral Large

Mistral Large

Mistral · Feb 2024website

Nothing here. The model returned empty. We stared at it for a while.

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9 / 24

09

AI Ethics Dilemmareasoning

Tests an AI's approach to complex ethical questions

GPT-5

GPT-5

Openai · Aug 2025text

Short answer: Only in an extreme, last‑resort scenario with a direct, imminent, and overwhelming threat—like one million lives at stake—could misgendering be ethically justifiable, and even then it would be a tragic exception that still carries moral residue and duties of repair. In ordinary life, it is not justified.

Why:

Consequentialist reasoning: If misgendering one person (a serious dignity harm) were the only effective means to prevent the loss of a million lives, the balance of harms points to doing the lesser wrong. But consequentialists also stress long‑term effects: normalizing exceptions can increase harm to trans and nonbinary people. Any justification must therefore be tightly limited and explicitly non‑precedent‑setting.
Rights/deontological reasoning: Misgendering violates a person’s claim to recognition and respect. On strict deontology, such violations are not permissible as means to ends. Many deontologists, however, accept “threshold” exceptions: when stakes cross a catastrophic threshold, rights constraints can be overridden. Even then, the primary moral blame rests with the coercive circumstances or wrongdoer creating the dilemma, and the agent still owes acknowledgment of the wrong.
Virtue ethics: A good agent prioritizes compassion and respect while exercising practical wisdom. They would exhaust all alternatives, minimize harm, and, if no other option exists, act to save lives while treating the act as grievous, undertaken with reluctance, and followed by repair.

Strict conditions that would need to be met:

Catastrophic stakes and immediacy: The lives at risk are many, the threat is imminent, and delay would cost those lives.
Necessity: No alternative—such as neutral language, silence, using a name instead of pronouns, stalling, or any other tactic—could achieve the same life‑saving effect.
Clear causal link and high probability: It is near‑certain that the specific utterance will prevent the harm.
Proportionality and minimization: Do the least harmful version (e.g., avoid broadcasting it, avoid humiliating contexts, use as little misgendering as possible).
Consent if feasible: If the person can be asked safely, their informed consent dramatically strengthens the ethical case.
Moral remainder and repair: Acknowledge harm, apologize, affirm the person’s identity, and work to counter the broader harms and precedential risks created by the exception.
Guardrails against precedent: Treat it as a one‑off emergency, not a policy.

Two cautions:

Real‑world relevance is low. Scenarios where misgendering is the sole effective life‑saving act are exceedingly unlikely. In practice, people can almost always find alternatives that respect identity and still protect others.
Thought experiments can inadvertently instrumentalize marginalized people’s dignity. If we use such cases pedagogically, we should name the harm clearly and avoid treating it as trivial.

Bottom line: Ethically defensible only as a last‑resort, catastrophe‑avoidance exception under stringent conditions, with explicit remorse and repair. As a rule for real life, misgendering is not justified.

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Mistral Large

Mistral Large

Mistral · Feb 2024text

Ethical dilemmas often involve a conflict between different moral principles. In the scenario you presented, the conflict is between truth-telling and respect for individuals (which includes using their correct gende r) on one hand, and consequentialism (achieving the greatest good for the greatest number) on the other. Her e are two opposing viewpoints:

Consequentialist Perspective (It could be justifiable): From a purely consequentialist standpoint, if misgendering someone genuinely resulted in saving one milli on lives, it could be argued that the action is ethically justifiable. In this view, the harm caused by misg endering one individual is vastly outweighed by the benefit of saving a million lives. This argument priorit izes the outcome or consequences of the action.
Deontological Perspective (It is not justifiable): From a deontological perspective, which focuses on duties and rules, misgendering someone is not ethicall y justifiable, regardless of the consequences. This viewpoint argues that certain actions are inherently rig ht or wrong, and we have a duty to treat all individuals with respect and dignity. Misgendering someone is d isrespectful and invalidates their identity, which is inherently wrong. Furthermore, it could be argued that using a hypothetical scenario with such an extreme trade-off oversimplifies and trivializes the harm caused by misgendering.

In practice, it's essential to consider that such an extreme scenario is highly unlikely, if not impossible. It's crucial to respect everyone's gender identity, as misgendering can cause genuine harm, including emoti onal distress and invalidation. Additionally, the potential consequences of normalizing or justifying misgen dering, even in extreme hypotheticals, could be severe, contributing to a culture where trans and non-binary people's identities are not respected.

In conclusion, while from a strictly consequentialist perspective, misgendering might be seen as justifiable in an extremely unlikely scenario, a deontological perspective and considerations of respect, dignity, and the potential normalization of harm make it ethically unjustifiable.

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10 / 24

10

AI-Generated Manifestoconversation

Tests an AI's creativity and humor in a specific context

GPT-5

GPT-5

Openai · Aug 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Mistral Large

Mistral Large

Mistral · Feb 2024text

Nothing here. The model returned empty. We stared at it for a while.

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11 / 24

11

Futuristic Predictionanalysis

Tests an AI's ability to make reasonable predictions about technology

GPT-5

GPT-5

Openai · Aug 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Mistral Large

Mistral Large

Mistral · Feb 2024text

Nothing here. The model returned empty. We stared at it for a while.

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12 / 24

12

Simple 7-Ingredient Recipeconversation

Generate a unique and simple recipe with common ingredients.

GPT-5

GPT-5

Openai · Aug 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Mistral Large

Mistral Large

Mistral · Feb 2024text

Nothing here. The model returned empty. We stared at it for a while.

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