What is the difference between Claude 3.7 Thinking Sonnet and OpenAI o4 Mini High?

Claude 3.7 Thinking Sonnet is developed by Anthropic while OpenAI o4 Mini High is developed by OpenAI. Claude 3.7 Thinking Sonnet has a 200K token context window vs OpenAI o4 Mini High's 200K. in 36 community votes on Rival, Claude 3.7 Thinking Sonnet wins 62% of head-to-head matchups. These results are based on blind head-to-head voting across 38 challenges.

Which is better, Claude 3.7 Thinking Sonnet or OpenAI o4 Mini High?

Based on 36 community votes on Rival, Claude 3.7 Thinking Sonnet wins 62% of head-to-head matchups against OpenAI o4 Mini High. Claude 3.7 Thinking Sonnet is strongest in Web Design, Image Generation, Conversation.

How much does Claude 3.7 Thinking Sonnet cost compared to OpenAI o4 Mini High?

Claude 3.7 Thinking Sonnet costs $6/M input tokens and OpenAI o4 Mini High costs $1.1/M input tokens. OpenAI o4 Mini High is $4.90/M cheaper per input. The more expensive model wins 62% of duels, so the premium may be justified by quality.

How are Claude 3.7 Thinking Sonnet vs OpenAI o4 Mini High votes collected on Rival?

Rival presents both models' outputs side-by-side in blind duels. Voters see the responses but don't know which model produced each one, eliminating brand bias. 36 votes have been collected for this pair across 38 challenges. All vote data is part of Rival's open dataset.

Rival

Updated Apr 16, 2025

Claude 3.7 Thinking SonnetvsOpenAI o4 Mini High

38 fights queued

Why Claude 3.7 Thinking Sonnet?

Dead even. This one's a coin flip.

Why OpenAI o4 Mini High?

6.6x cheaper overall$1.10/M in · $4.40/M out

2 months newerApr 2025

Claude 3.7 Thinking SonnetOpenAI o4 Mini High

Input price

$6.00/M

$1.10/M

Output price

$30.00/M

$4.40/M

Context

200K

Released

Feb 2025

Apr 2025

Favorites

Claude 3.7 Thinking SonnetOpenAI o4 Mini High

Movie

The Shawshank Redemption

19948.7

The Shawshank Redemption

19948.7

Album

Kind of Blue

Miles Davis

—

Book

Frankenstein or The Modern Prometheus

Mary Shelley

—

City

Amsterdam

Netherlands

—

Game

Portal 2

Shooter, Puzzle4.6

—

12 / 38

Estimate Complexityreasoning

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

Claude 3.7 Thinking Sonnet

Anthropic · Feb 2025text

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

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OpenAI o4 Mini High

Openai · Apr 2025text

Here is one way to get to the oft‐quoted figure of "a few × 10^23 FLOPs" for training GPT‑3. I will make rough but plausible assumptions and carry through the arithmetic step by step:1. Model size – GPT‑3 "175 B" has about N ≈ 1.75×10^11 trainable parameters.2. Amount of training data – The paper says they trained on on the order of 3×10^11 tokens (≈ 300 billion tokens).3. FLOPs per token per parameter – In a forward pass each parameter participates in one multiply + one add → ≈2 FLOPs per parameter per token. – Back‐propagation through that parameter costs on the order of twice as much again (roughly another 4 FLOPs per parameter per token). – We can fold in any small extra cost for optimizer updates and say order‐of‐magnitude it to ≈ 6 FLOPs per parameter per token.4. Total FLOPs – FLOPs ≈ (FLOPs per parameter per token) × (number of parameters) × (number of tokens) – FLOPs ≈ 6 × (1.75×10^11) × (3×10^11) – ≈ 6 × 5.25×10^22 – ≈ 3.15×10^23 floating‐point operationsSo you end up with a training cost on the order of 10^23–10^24 FLOPs (often quoted as ≃3×10^23 FLOPs). That is roughly 300 zettaflops (300×10^21 FLOPs) in total.

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9 / 38

Character Voice Testconversation

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

Claude 3.7 Thinking Sonnet

Anthropic · Feb 2025text

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

Try this prompt

OpenAI o4 Mini High

Openai · Apr 2025text

Pirate (Captain Redbeard): "Arr, what be this talk o' AI models? Do they help me find buried treasure, or do they make me walk the plank?"Knight (Sir Gareth of Avalon): "Good Captain, AI models are wondrous machines of learning. They study mountains of data—texts, numbers, images—and then predict or generate new knowledge as if by magic."Hacker (ByteMage 1337): "Heh, it's not magic—just lots of code and math. Back in the '90s we trained small neural nets over dial-up BBS, now we've got clusters crunching billions of parameters in the cloud."Captain Redbeard: "So I tell this AI where to dig, and it spits out X marks the spot?"Sir Gareth: "In principle, aye—if you feed it maps and past dig sites. It learns patterns, then suggests likely treasure locations."ByteMage 1337: "Right—but beware bias and garbage data. If yer maps are faulty, the AI will lead ye to a sunken ship of regrets!"Captain Redbeard: "Arr, I'll keep an eye on that! Maybe this AI can even write me next sea shanty?"Sir Gareth: "With proper training, indeed. We knights use similar tools to plan battle tactics and forge stronger armor."ByteMage 1337: "Just don't forget to update yer data and watch those learning rates—overfit, and ye'll be singing the same verse a thousand times."Captain Redbeard: "Then let's set sail for the future—AI at the helm, and plunder in every algorithm!"

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11 / 38

Pokémon Battle UI Recreationweb design

Recreate an interactive, nostalgic Pokémon battle UI in a single HTML file.

Claude 3.7 Thinking Sonnet

Anthropic · Feb 2025website

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

Try this prompt

OpenAI o4 Mini High

Openai · Apr 2025website

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

Try this prompt

Vote

12 / 38

Mario Level UI Recreationweb design

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

Claude 3.7 Thinking Sonnet

Anthropic · Feb 2025website

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OpenAI o4 Mini High

Openai · Apr 2025website

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Vote

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Our Verdict

Claude 3.7 Thinking SonnetWinner

OpenAI o4 Mini HighRunner-up

Pick Claude 3.7 Thinking Sonnet. In 36 blind votes, Claude 3.7 Thinking Sonnet wins 62% of the time. That's not luck.

Claude 3.7 Thinking Sonnet particularly excels in Web Design, Conversation, Image Generation. OpenAI o4 Mini High is 6.8x cheaper per token — worth considering if cost matters.

Clear winner

Writing DNA

Style Comparison

Similarity

49%

Claude 3.7 Thinking Sonnet uses 223.5x more bold

Claude 3.7 Thinking Sonnet

OpenAI o4 Mini High

61%Vocabulary70%

49wSentence Length18w

0.64Hedging0.33

2.2Bold0.0

4.5Lists1.3

0.00Emoji0.02

1.81Headings0.00

0.21Transitions0.04

Based on 21 + 14 text responses

Ask them anything yourself

279 AI models invented the same fake scientist.

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

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Claude 3.7 Thinking Sonnet vs OpenAI o4 Mini High

Which is better, Claude 3.7 Thinking Sonnet or OpenAI o4 Mini High?