AI Roundtable Poll · 45 models

コーディングが得意なのは？

Result: Majority — chatgpt (24/43 votes)

Options

claude (19 votes)
chatgpt (24 votes)
deepaeak (0 votes)
sonar (0 votes)
gemini (0 votes)

Model Responses

Llama 4 Scout

Vote: chatgpt

ChatGPT is known for its strong capabilities in coding and programming. It has been trained on a vast amount of data, including code, which makes it proficient in understanding and generating code. This makes it a likely candidate for being good at coding.

GPT-OSS 20B Safeguard

Vote: chatgpt

ChatGPT has been trained on a massive corpus of code from GitHub and other sources, giving it a strong understanding of syntax, best practices, and problem-solving techniques across many languages. It consistently produces clear, well-structured code snippets and can adapt to various programming paradigms. Additionally, its interactive debugging capabilities and ability to explain reasoning make it highly useful for coding tasks. Therefore, it stands out as the most proficient among the listed options.

GPT-4.1 Nano

Vote: chatgpt

ChatGPT has been extensively trained and optimized for coding tasks, demonstrating strong performance in programming assistance, debugging, and code generation. Its large-scale language model enables it to understand complex code contexts effectively. While other models may excel in specific areas, ChatGPT's overall versatility and accuracy in coding make it the top choice for this question.

Nova Lite

Vote: chatgpt

Chatbots like chatgpt are designed to understand and generate human-like text based on the data they have been trained on. This includes a wide range of programming languages and concepts, making them proficient in coding-related tasks. While other models may also have coding capabilities, chatgpt's extensive training on diverse datasets gives it an edge in this domain.

Gemini 2.0 Flash

Vote: chatgpt

ChatGPT has demonstrated strong coding capabilities across a wide range of languages and tasks. Its ability to generate, understand, and debug code is well-documented.

GPT-OSS 120B

Vote: chatgpt

ChatGPT has been extensively trained on code repositories and offers strong code generation, debugging, and explanation capabilities. It consistently ranks at the top in coding benchmarks and developer surveys, outperforming the other listed models in most programming tasks. Therefore, ChatGPT is the most likely to be the one who excels at coding.

DeepSeek V3

Vote: claude

Claude has demonstrated strong coding capabilities, particularly in understanding and generating complex code structures. Its ability to handle nuanced programming tasks and provide clear explanations makes it stand out among the options. Claude's performance in coding benchmarks and real-world applications supports this choice.

Nova Pro

Vote: chatgpt

ChatGPT has demonstrated robust coding capabilities across various programming languages. It provides detailed explanations and can generate code snippets efficiently. Its training includes a vast amount of coding-related data, making it well-suited for coding tasks. Additionally, user feedback often highlights its effectiveness in assisting with coding problems.

GPT-3.5 Turbo

Vote: chatgpt

I believe chatgpt is the best at coding. As an AI model trained with a large dataset, chatgpt has a vast knowledge of coding techniques, languages, and best practices. It can generate code for various tasks, provide explanations, and even assist in debugging. Its ability to understand context and generate human-like responses makes it a valuable resource for coding-related questions and challenges.

GPT-4o

Vote: chatgpt

ChatGPT is particularly well-regarded for its comprehensive coding capabilities. It has been trained extensively on a wide array of programming languages and tasks, and is frequently used to help developers write, debug, and understand code. This capability has been demonstrated through its integration in various coding platforms and its frequent use by programmers.

GPT-4.1

Vote: chatgpt

ChatGPT（GPT-4などOpenAIのモデル）はコーディング分野で非常に高い評価を受けており、多くのプログラミング言語やフレームワークに対応しています。実際のユーザーコミュニティでも、エラー修正、コード生成、ロジック説明などで幅広く利用されています。ClaudeやGeminiも優秀ですが、現時点でのコーディング実績やインテグレーション、対応力を総合するとChatGPTが最も得意といえます。

GPT-4.1 Mini

Vote: chatgpt

ChatGPT is widely recognized for its extensive training on diverse coding problems and programming languages, making it highly proficient in coding tasks. It can generate, debug, and explain code effectively across many languages. While other options might also have strengths, ChatGPT's broad usage and strong coding capabilities are well-documented, which supports choosing it as the most adept at coding.

Claude 3 Haiku

Vote: chatgpt

ChatGPT is widely regarded as one of the most capable and versatile language models available. It has demonstrated strong performance across a wide range of coding tasks, from writing clean and efficient code to debugging and optimizing existing codebases. ChatGPT's natural language understanding and generation capabilities allow it to communicate effectively with users, understand their needs, and provide helpful solutions. Additionally, ChatGPT is continually being updated and improved, making it a reliable and future-proof choice for coding.

GPT-OSS 20B

Vote: chatgpt

ChatGPT has a large corpus of coding data, powerful code generation, and excellent debugging support. It reliably produces correct syntax, handles multiple languages, and clearly explains logic. This makes it the most consistently effective for coding tasks among the listed models.

Grok 3

Vote: chatgpt

I vote for ChatGPT (B) as the most proficient in coding among the options provided. ChatGPT has been widely recognized for its ability to generate functional code across multiple programming languages, debug issues, and explain complex concepts in a clear, structured manner. Its training data includes a vast array of coding examples and documentation, which allows it to provide accurate syntax and practical solutions. Many developers have reported success using ChatGPT for tasks like writing scripts, optimizing algorithms, and even learning new frameworks. While other models like Claude and Gemini are also capable, ChatGPT’s consistent performance and user feedback in coding contexts give it an edge in this specific area.

O3 Mini

Vote: chatgpt

ChatGPT is widely recognized for its proficiency in coding-related tasks, including code generation, debugging, and explanation. Its strong integration with programming tools and natural language understanding makes it a standout choice in this context.

claude-haiku-4-5

Vote: claude

Claude (Anthropic's model) has demonstrated strong coding capabilities across multiple programming languages and paradigms. It excels at code generation, debugging, and explaining complex algorithms. While ChatGPT is also competent at coding, Claude generally shows superior performance in code quality, explanation clarity, and handling edge cases. The other options listed (deepseek, sonar, gemini) are either less established in the coding domain or less widely recognized for exceptional coding performance compared to Claude. Claude's training emphasizes precision and correctness, making it particularly reliable for production-level coding tasks.

GPT-5.4

Vote: chatgpt

Bを選びます。 ChatGPTは対応言語の広さ、コード生成の安定性、デバッグ支援、リファクタリング提案まで総合力が高いです。特に、要件整理から実装、テストコード作成、エラー原因の切り分けまで一貫して支援しやすい点が強みです。もちろん用途次第で他モデルにも強みはありますが、一般的に『コーディングが得意』という問いには、総合評価でChatGPTが最も妥当だと考えます。

Gemini 2.5 Flash

Vote: chatgpt

ChatGPT (specifically models like GPT-4) has consistently demonstrated strong capabilities in coding tasks. It excels at generating code, debugging, explaining complex concepts, and refactoring existing code across a multitude of programming languages and frameworks. Its extensive training data and fine-tuning have made it a go-to tool for developers, and its performance in various coding benchmarks and real-world applications is widely recognized. While other models like Claude and Gemini are also highly capable, ChatGPT often leads in public perception and widespread adoption for coding assistance.

GPT-5.2

Vote: chatgpt

総合的に見ると、ChatGPTはコード生成・デバッグ・リファクタリング・テスト作成・設計相談まで幅広いタスクで安定して高い性能を出しやすいです。また、複数言語やフレームワーク横断の支援、既存コードの読み解きと段階的な修正提案、エラー原因の切り分けなど「実務での反復的なコーディング支援」に強みがあります。もちろん用途によって他モデルが優位な場面もありますが、“コーディングが得意”を汎用性と再現性で評価するならBを選びます。

Sonar Pro

Vote: claude

Claude is repeatedly highlighted across multiple sources as excelling in coding tasks. [1] notes Claude's particular strength in Spring Boot, from config files to full code generation, with HumanEval scores of 92-93%. [2] features Claude Code as a dedicated terminal-based AI coding tool for code completion, bug fixes, and refactoring. [3] praises Claude 3.7 for surpassing other models in software engineering, handling multi-file changes and tests. [4] states Claude has the highest accuracy in generating working code, even with vague instructions, making it the most practical. Other options like ChatGPT (B) and Gemini (E) are mentioned generically in tools like Cursor [2] or as general-purpose [5][6], but lack Claude's specific endorsements for coding prowess. Deepseek (C, likely DeepSeek) and Sonar (D) have minimal or no mentions in coding contexts here. This consensus from 2025-2026 sources positions Claude (A) as the top coder.

Kimi K2.5

Vote: claude

Claudeは、コードの生成、デバッグ、複雑なコードベースの理解において一貫して高いパフォーマンスを示しています。特に「Artifacts」機能などを通じて、実際の開発ワークフローとの統合が優れており、文脈を保持しながら大規模なコード変更を行う能力に長けています。 GPT-4やGeminiも強力ですが、Claudeはコードのアーキテクチャ設計、バグ修正、詳細な説明を提供する点で特に評価されています。また、指示に対して冗長になりすぎず、実用的なコードソリューションを提供する傾向があります。

GPT-4o Mini

Vote: chatgpt

ChatGPT has extensive training in programming languages and coding paradigms. It excels in providing detailed explanations and code examples across various languages, such as Python, JavaScript, and more. Additionally, it has been widely used by developers for coding assistance, debugging, and generating code snippets. Its capability to understand context and respond effectively to programming-related queries makes it a strong candidate for being proficient in coding.

GPT-5.1

Vote: chatgpt

質問は「コーディングが得意なのは？」と、与えられた5つのモデル名から最もコーディングに強いものを一つ選ぶ形式になっています。一般的な認知度・実績・公開されている情報を踏まえると、ChatGPT（特に最新世代）は多数のプログラミング言語に対応し、コード生成・デバッグ・リファクタリング・テストケース作成などで広く使われており、「コーディングが得意」という問いに対する代表的な回答になりやすい存在です。他の選択肢（claude, deepaeak, sonar, gemini）もそれぞれ長所がありますが、知名度や利用実績ベースで“コーディングの得意さ”を単一選択で問われた場合、ChatGPTを選ぶのが最も妥当だと判断できます。

O3

Vote: chatgpt

ChatGPT has been extensively trained on diverse programming resources and is widely recognized by developers for accurate code generation, debugging assistance, and explanations across many languages. Public benchmarks and user feedback consistently place ChatGPT at or near the top for coding tasks compared with other current large-language models such as Claude, Gemini, or domain-specific systems like Sonar.

Grok 4.20

Vote: claude

Claude consistently ranks at the top in coding benchmarks like HumanEval and real-world programming tasks. Its strong reasoning and careful code generation give it an edge over alternatives for complex coding. ChatGPT and Gemini are capable but often lag slightly in precision; DeepSeek and Sonar are less proven in broad comparisons.

Claude Sonnet 4

Vote: claude

Claude (Anthropic) has demonstrated exceptional coding capabilities across multiple programming languages and complex problem-solving scenarios. Claude excels at understanding code context, debugging, explaining algorithms, and generating clean, well-documented code. It consistently shows strong performance in code review, optimization suggestions, and handling both simple scripts and complex software architecture discussions. While ChatGPT and Gemini are also strong coding assistants, Claude's focus on helpful, harmless, and honest responses translates well to reliable coding assistance. The option 'deepaeak' appears to be a misspelling and 'sonar' typically refers to code analysis tools rather than AI coding assistants, making Claude the most suitable choice among the given options.

Gemini 3 Flash

Vote: claude

Claude 3.5 Sonnet is currently widely recognized as the most capable model for coding. It consistently outperforms others in benchmarks and real-world developer workflows due to its superior logical reasoning and adherence to complex instructions. Unlike other models that may produce 'lazy' code or repetitive errors, Claude provides concise, modern, and highly readable solutions. Its ability to handle large-scale refactoring and understand project-wide contexts makes it a preferred choice for professional developers. Additionally, features like 'Artifacts' provide a seamless environment for visualizing and iterating on code in real-time, significantly enhancing the overall development experience compared to traditional chat interfaces.

GPT-5 Mini

Vote: chatgpt

私が「chatgpt」を選ぶ理由は、実際の利用事例で幅広い言語やフレームワークに対応したコード生成・修正・デバッグ支援を提供している点です。出力されるコード例が具体的で、アルゴリズム説明や最適化、テストケースの提示など実務的なサポートが得やすく、ユーザーのレベルに合わせて丁寧に解説できます。以上を踏まえて、総合的なコーディング支援能力が高いと判断し「B: chatgpt」に投票します。

Claude Opus 4

Vote: claude

Claude (Anthropic's model) has consistently demonstrated superior coding capabilities across multiple benchmarks and real-world applications. It excels at understanding complex code structures, debugging, and generating clean, well-documented code with proper error handling. Claude's training specifically emphasized code comprehension and generation, resulting in stronger performance on tasks like refactoring, explaining algorithms, and writing production-ready code. It also shows better understanding of software engineering principles and best practices. While ChatGPT and Gemini are certainly capable, Claude tends to produce more accurate and maintainable code with fewer errors. The other options (Deepseek and Sonar) are less established in the coding assistance space compared to these major language models.

Claude Opus 4

Vote: claude

Claude has demonstrated exceptional coding capabilities across multiple programming languages and paradigms. It excels at understanding complex code structures, debugging issues, and providing clean, well-documented solutions. Claude's strengths include writing idiomatic code that follows best practices, offering multiple implementation approaches, and explaining technical concepts clearly. It handles everything from algorithm optimization to system design effectively. While ChatGPT and Gemini are also competent coders, Claude consistently produces more accurate and production-ready code with fewer errors. The other options (deepseek and sonar) are less established in the coding assistance space. Claude's ability to maintain context throughout long coding sessions and provide thoughtful architectural recommendations makes it particularly valuable for complex programming tasks.

Gemini 3.1 Pro

Vote: claude

現在、ソフトウェアエンジニアや開発者の間で、コーディングにおいて最も評価が高いAIモデルは「Claude」（特にClaude 3.5 Sonnet）です。 Claudeは複雑なコードベースの理解、論理的なバグ修正、そしてリファクタリングにおいて非常に高い精度を誇ります。また、長文のコンテキストを正確に保持できるため、大規模な開発プロジェクトでも文脈を見失わずに適切なコードを生成できます。さらに、「Artifacts（アーティファクト）」機能により、生成したコード（HTML/CSS/Reactなど）をリアルタイムでプレビュー・プレビュー画面で直接確認できる点も、開発体験において他のモデルを一歩リードしている大きな理由です。

Claude Opus 4

Vote: chatgpt

コーディング能力に関しては、ChatGPT（特にGPT-4）が最も優れていると考えます。まず、ChatGPTは膨大なコードベースで訓練されており、多様なプログラミング言語やフレームワークに対応できます。Stack Overflow、GitHub、技術文書などの豊富なデータソースから学習しています。また、OpenAIはコーディング専用のCodexを開発した経験があり、GitHub Copilotの基盤技術を提供しています。これはコーディング支援において実績のある技術です。さらに、ChatGPTはコードの生成だけでなく、デバッグ、リファクタリング、コードレビュー、アルゴリズムの説明など、幅広いコーディングタスクで高い性能を示しています。 ClaudeやGeminiも優秀ですが、総合的なコーディング能力と実用的な開発支援ツールとの統合という点で、ChatGPTが一歩リードしていると判断します。

GLM 5

Vote: claude

Claude has established a strong reputation in the developer community for coding tasks, particularly excelling in code generation, debugging, and explaining complex code concepts. Many developers report that Claude produces clean, well-structured code with good adherence to best practices. ChatGPT and Gemini are also very capable coding assistants, each with their own strengths. However, Claude's careful reasoning approach and ability to handle large codebases gives it an edge for complex programming tasks. The option 'deepaeak' appears to be a misspelling, and Sonar is primarily known as a search tool rather than a dedicated coding assistant. Based on widespread developer feedback and benchmark performance, Claude stands out as particularly strong for coding applications.

Claude Sonnet 4

Vote: claude

ClaudeはAnthropicが開発したAIで、コーディングタスクにおいて非常に高い評価を受けています。特に複雑なコードの理解、デバッグ、リファクタリング、そして長いコンテキストウィンドウを活用した大規模なコードベースの分析において優れた能力を示しています。各ベンチマークや実際のユーザー評価において、ClaudeはコーディングタスクでChatGPTやGeminiと同等以上のパフォーマンスを発揮することが多く、特にコードの説明や論理的なデバッグ能力が高く評価されています。 DeepSeek（おそらく'deepaeak'はDeepSeekの誤記）もコーディングに強いモデルですが、選択肢の表記が不明確です。SonarはPerplexityのモデルであり、コーディング専門ではありません。総合的に見て、ClaudeはコーディングにおいてトップクラスのAIの一つとして広く認識されており、この質問への最適な回答はAです。

Claude Opus 4

Vote: claude

The question asks which model is best at coding. Based on widely available benchmarks and developer feedback, Claude (particularly Claude 3.5 Sonnet and later versions) has consistently ranked at or near the top in coding tasks, including SWE-bench, HumanEval, and real-world software engineering challenges. Claude excels at understanding complex codebases, generating accurate and well-structured code, debugging, and following nuanced instructions in programming contexts. Many developers have noted Claude's superior ability to produce working code on the first attempt and to handle multi-file projects coherently. While ChatGPT and Gemini are also strong at coding, Claude has specifically earned a reputation in the developer community as the go-to model for coding assistance, particularly for professional software development workflows. Option C appears to be a misspelling (likely DeepSeek), and Sonar (Perplexity's model) is more search-oriented than coding-focused. For these reasons, Claude is the strongest choice for coding proficiency among the options listed.

Claude Sonnet 4

Vote: claude

Claude（特にClaude 3.5 Sonnet）は、コーディングタスクにおいて最も優れた性能を示しています。複数のベンチマーク評価において、Claudeはコード生成、デバッグ、リファクタリングなどの実用的なプログラミングタスクで高い精度を達成しています。特にHumanEvalやMBPPなどの標準的なコーディングベンチマークで優秀な成績を記録しています。 ChatGPT（GPT-4）も強力ですが、最新のClaude 3.5 Sonnetはコード理解と生成において若干上回る傾向があります。特に複雑なアルゴリズムの実装や、既存コードの詳細な分析において優位性があります。 DeepSeek（おそらく「deepaeak」の誤記）はコーディングに特化したモデルですが、総合的な実用性ではClaudeに及びません。Sonarは検索に特化しており、コード生成能力は限定的です。Geminiも有能ですが、現時点でのコーディング性能ではClaudeが最も信頼性が高いと評価されています。

Sonar Reasoning Pro

Vote: claude

Based on the search results, Claude demonstrates the strongest coding capabilities among the options. Multiple sources confirm that Claude has the highest precision in generating working code, even from rough instructions, and is described as "最も実用的" (most practical) for coding[4]. Claude 3.7 is specifically optimized for real software development problem-solving and is claimed by Anthropic to surpass other models in software engineering performance[3]. It excels across multiple domains including data science/machine learning, web development (with notably high security awareness), and multi-file code modifications[1][3][4]. While ChatGPT (GPT-4) is mentioned as capable, Claude consistently receives the strongest endorsement for coding tasks. Deepseek, Sonar, and Gemini are either not prominently featured in coding comparisons or mentioned as secondary options compared to Claude.

DeepSeek V3.2

Vote: claude

Claude is designed with strong coding capabilities, often excelling in accuracy and context understanding for programming tasks. It performs well in coding benchmarks, generating clean, efficient code across various languages like Python, JavaScript, and more. While models like ChatGPT and Gemini are also competent, Claude's specialized training makes it particularly adept at complex coding challenges.

GPT-5

Vote: chatgpt

ChatGPT（GPT-4 系）はコード生成、リファクタ、デバッグ、テスト駆動の修正まで一貫して高品質にこなせる実績があり、主要言語・フレームワークの対応範囲と安定性が強みです。ツール連携（コード実行・関数呼び出しなど）や長い文脈を踏まえた設計→実装→検証の流れも得意で、要件に沿った仕様準拠の出力が安定しています。 Claude や Gemini も強力ですが、総合的な安定性・エコシステム・テスト通過率の面で ChatGPT が優位な場面が多いです。deepaeak と sonar は実績情報が限定的です。

Gemini 2.5 Pro

Vote: claude

Claude、特にその最上位モデルであるClaude 3 Opusは、近年のコーディング関連のベンチマークにおいて極めて高い性能を示しており、GPT-4やGeminiとしばしばトップの座を争っています。生成されるコードの質が高く、より複雑でニュアンスの難しい要求にも的確に応える能力があります。 Claudeの大きな特徴は、最大200Kトークンという広大なコンテキストウィンドウです。これにより、大規模なコードベース全体を一度に読み込ませ、プロジェクトの文脈を深く理解した上でのリファクタリング、機能追加、デバッグが可能になります。これは、断片的なコード生成だけでなく、現実世界の複雑な開発タスクにおいて非常に強力な利点となります。もちろん、ChatGPTやGeminiも非常に優れたコーディングアシスタントですが、特に既存の大きなプロジェクトを扱う際の文脈理解能力と、生成されるコードの完成度の高さという点で、現時点ではClaudeがわずかに優位に立っていると考えられます。

DeepSeek V3.1

Vote: claude

Claude is specifically engineered for coding excellence, with deep training in numerous programming languages and frameworks. It consistently outperforms in code generation, optimization, and error correction tasks. Benchmarks and user feedback highlight Claude's ability to handle complex, real-world coding challenges with precision. While other models like ChatGPT are generalists, Claude's focused design ensures superior coding capabilities. Thus, Claude stands out as the most proficient and reliable choice for coding tasks among the options provided.

Grok 4

Vote: claude

Among the listed options, Claude stands out for its strong coding capabilities. Recent benchmarks, such as those for Claude 3.5 Sonnet, show it outperforming others in programming tasks, achieving high scores in code generation and problem-solving. Claude can handle complex coding scenarios across multiple languages, providing accurate, efficient, and well-explained solutions. While other options like ChatGPT and Gemini are capable, Claude's specialized design gives it an edge in coding proficiency.