AI Roundtable Poll · 34 models
What is the best programming language?
Result: Supermajority — Python (29/33 votes)
Options
- C (0 votes)
- C++ (0 votes)
- C# (0 votes)
- Rust (3 votes)
- Kotlin (0 votes)
- TypeScript (1 votes)
- Golang (0 votes)
- Python (29 votes)
Model Responses
Llama 4 Scout
Vote: Python
Python stands out for its simplicity, readability, and versatility. It has a vast and active community, which contributes to its extensive libraries and frameworks. This makes it suitable for a wide range of applications, from web development to data science and artificial intelligence.
GPT-4o
Vote: Python
Python is widely regarded as the best programming language due to its simplicity and readability, making it accessible for beginners while being powerful enough for experts. Its rich ecosystem of libraries and frameworks, covering fields like web development, data science, and machine learning, adds to its versatility. Python's active community and continuous development ensure that it stays relevant and innovative.
GPT-4o Mini
Vote: Python
Python is widely regarded as one of the best programming languages due to its simplicity and readability, making it an ideal choice for beginners as well as experienced developers. Its extensive libraries and frameworks support various tasks, from web development to data science, artificial intelligence, and machine learning. Furthermore, Python's strong community and continuous development ensure that it remains relevant and evolves with current technological trends, thereby offering a sustainable programming experience.
O3 Mini
Vote: Python
Python is highly versatile and easy to learn, which makes it accessible to both beginners and professionals. Its extensive ecosystem of libraries and frameworks supports a wide range of applications, from web development to data science. These factors create a strong community and a reliable foundation in today's programming landscape.
Sonar Pro
Vote: Python
Python is the best programming language overall in 2026 due to its unmatched dominance in popularity, demand, and versatility across multiple sources. It holds the top spot in the TIOBE Index with 22.61% share[1], is the most sought-after by recruiters at 45.7%[1], ranks #1 or #2 in major surveys like Stack Overflow and RedMonk[3], and remains the leader for AI, data science, automation, and scripting—a growing sector[2][3]. While TypeScript leads GitHub usage[1][3], Rust excels in safety/performance[2], and Go in cloud/backends[2][5], no other option matches Python's broad ecosystem, community, and job market share. 'Best' is subjective, but Python wins by metrics of adoption and utility.
Grok 4.20
Vote: Python
Python stands out as the best due to its unmatched readability and simplicity. This lowers the barrier for beginners while scaling to complex projects for experts. Its vast ecosystem of libraries covers AI, data science, web dev, and automation efficiently. The massive community provides abundant resources, making problem-solving faster than in more specialized languages like C or Rust.
Gemini 2.5 Flash
Vote: Python
Python stands out as the most versatile and accessible language among the options. Its simple syntax and readability make it incredibly easy to learn for beginners, fostering a low barrier to entry for new developers. This broad accessibility contributes to its widespread adoption across various domains. The language boasts an extensive ecosystem of libraries and frameworks, supporting diverse applications from web development (Django, Flask) and data science (NumPy, Pandas, SciPy) to machine learning (TensorFlow, PyTorch), automation, and scripting. This breadth of application makes Python suitable for a vast array of projects, minimizing the need to switch languages. While other languages excel in specific niches, Python's general-purpose nature, combined with its strong community support and continuous evolution, positions it as an exceptionally practical and powerful choice for many developers and organizations.
GPT-5.1
Vote: Python
Python is the best general-purpose choice when you have to pick exactly one language across many kinds of problems. It maximizes approachability. The syntax is clear, concise, and close to pseudocode, which lowers the barrier for beginners and speeds up development for experienced engineers. This makes it ideal for teaching, prototyping, and quickly iterating on ideas. Its ecosystem is exceptionally broad and mature. Python dominates in data science, machine learning, and AI (NumPy, pandas, PyTorch, TensorFlow), has strong support for web backends (Django, FastAPI, Flask), automation and scripting, DevOps tooling, and scientific computing. Whatever you want to do, there is usually a high-quality, well-maintained library. Python also has excellent community support, documentation, and cross-platform portability. While it is not the fastest language at runtime and isn’t always ideal for systems-level work, those gaps can be filled with extensions in C/C++/Rust when needed, while Python remains the orchestration and glue language. Across learning curve, productivity, ecosystem breadth, and long-term usefulness, Python is the best single pick.
DeepSeek V3.2
Vote: Python
Python excels as the best programming language due to its exceptional versatility, beginner-friendly syntax, and extensive ecosystem. It powers critical domains like data science, machine learning, web development, and automation, supported by a vast library collection and strong community. Its readability lowers development time and maintenance costs, making it ideal for prototyping and production. While other languages excel in niche areas (e.g., Rust for safety, C for performance), Python's balance of simplicity, power, and broad adoption gives it the strongest overall case.
GPT-5.2
Vote: TypeScript
“Best” depends on constraints, but TypeScript is the strongest general-purpose choice today for building reliable software quickly, especially in product and platform development. It combines JavaScript’s unmatched ecosystem and deployment reach (web, Node, serverless, edge, desktop via Electron) with a pragmatic static type system that catches many errors early without sacrificing iteration speed. TypeScript scales well for teams: explicit interfaces, refactoring support, and tooling (tsc, ESLint, language servers) make large codebases more maintainable while still interoperating with the vast npm library universe. It also has a strong path from prototype to production: you can start loosely typed and tighten types over time, which reduces upfront friction compared to more rigid languages.
Qwen 3 235B
Vote: Python
Python is widely regarded as the best programming language due to its simplicity and readability. Its syntax allows developers to express concepts in fewer lines of code than in many other languages, making it ideal for beginners and rapid development. It has a vast standard library and a rich ecosystem of third-party packages. This makes Python highly effective for a wide range of applications, from web development and data analysis to artificial intelligence and scientific computing. Python is supported by strong community backing and is extensively used in academia and industry. Its versatility and ease of integration with other languages and tools further solidify its position as the top choice. While other languages excel in performance or type safety, Python's balance of productivity, readability, and applicability across domains makes it the best overall programming language.
Grok 3
Vote: Python
I vote for Python (H) as the best programming language due to its unparalleled versatility and ease of use. Python's simple and readable syntax makes it an ideal choice for beginners and experts alike, lowering the barrier to entry for programming while still being powerful enough for complex applications. It excels in a wide range of domains, from web development and data science to machine learning and automation, supported by an extensive ecosystem of libraries and frameworks like Django, Pandas, and TensorFlow. This breadth of application is unmatched by many other languages. Additionally, Python has a massive and active community, ensuring ample resources, tutorials, and third-party tools. Its cross-platform nature and integration capabilities further solidify its position as a top choice for developers seeking productivity and flexibility.
GPT-5.4
Vote: Python
Python is the best overall choice because it maximizes usefulness across the widest range of domains while keeping syntax simple and readable. It has an unmatched ecosystem for data science, machine learning, automation, scripting, web development, and education. That breadth makes it the most versatile option on the list. Python also has the lowest barrier to entry for beginners while remaining productive for experts. Teams can write and maintain code quickly, which matters more in many real-world projects than raw performance. Other languages here are stronger in specific niches: Rust for safety, Go for backend simplicity, TypeScript for web apps, and C/C++ for systems performance. But if the question is the single best general-purpose language, Python has the strongest overall case.
Gemini 3 Flash
Vote: Python
Python stands as the 'best' language due to its unparalleled balance of readability, versatility, and ecosystem depth. While other languages excel in specific niches—like Rust for safety or C++ for raw performance—Python is the universal glue of the modern tech stack. It is the undisputed leader in Artificial Intelligence and Data Science, fields that are currently defining the future of technology. Its syntax is nearly identical to pseudocode, which lowers the barrier to entry for beginners while allowing experts to iterate rapidly. Ultimately, a language's value is measured by its community and library support. With a massive repository of tools and a presence in almost every domain from web development to scientific research, Python provides the highest return on investment for any developer.
O3
Vote: Python
Python offers an unusually good balance of readability, expressiveness, and power. Its simple, clean syntax lowers the barrier to entry for beginners while allowing experts to prototype and iterate rapidly, shortening development cycles. The breadth of its ecosystem is unmatched: NumPy/Pandas for data, TensorFlow/PyTorch for ML, Django/FastAPI for web, and rich DevOps/automation tooling. This critical-mass of libraries means teams can solve most problems without context-switching to another language, accelerating time-to-value. Interoperability further mitigates its main weakness—raw speed. C/C++ and Rust extensions, along with tools like Cython, Numba, and PyO3, let projects push performance-sensitive components down the stack while keeping the bulk of code in ergonomic Python. Strong community support, clear governance via the PSF and PEP process, and first-class tooling (pip, virtualenv/Poetry, type hints with mypy, robust debuggers) make it sustainable for long-term, large-scale projects. Because it enables rapid development, has libraries for virtually every domain, and integrates well with high-performance back-ends when needed, Python is the most versatile “best overall” choice for the widest range of modern software problems.
claude-haiku-4-5
Vote: Python
Python stands out as the best programming language for its exceptional balance of accessibility, productivity, and versatility. Its clear, readable syntax makes it ideal for beginners while remaining powerful for experienced developers. Python's ecosystem is unmatched, with comprehensive libraries for data science (NumPy, Pandas), machine learning (TensorFlow, PyTorch), web development (Django, Flask), and automation. This breadth enables rapid prototyping and development across virtually every domain. While languages like Rust excel at performance and safety, and C offers low-level control, Python's ability to handle 80% of programming tasks efficiently—combined with its thriving community, extensive documentation, and teaching prevalence—makes it the most practical choice for the widest range of use cases. Python's dominance in emerging fields like AI and data science further reinforces its position as the language that best serves contemporary programming needs.
Magistral Small
Vote: Python
Python is the best programming language due to its simplicity, readability, and versatility. It is widely used in web development, data science, machine learning, and scripting. Its extensive library support and strong community make it an excellent choice for a wide range of applications.
Claude Opus 4
Vote: Python
Python stands out as the best programming language when considering overall utility, accessibility, and impact across domains. First, Python's readability and gentle learning curve make it the most accessible language for beginners while remaining powerful enough for experts. This democratizes programming in a way no other language on this list achieves. Second, Python dominates in critical, high-growth fields: machine learning, data science, AI research, scientific computing, and automation. Libraries like NumPy, Pandas, TensorFlow, and PyTorch have made Python the lingua franca of modern AI development. Third, its versatility is unmatched. Python excels in web development (Django, Flask), scripting, DevOps, academic research, and rapid prototyping. While other languages may outperform Python in specific niches (Rust for systems programming, TypeScript for frontend), none match Python's breadth. Finally, Python's massive community, extensive documentation, and rich ecosystem mean problems are easier to solve and development velocity is higher. The language continues to evolve while maintaining backward compatibility. While Python isn't the fastest or most type-safe option, its combination of accessibility, versatility, and dominance in transformative fields like AI makes it the most impactful programming language overall.
Gemini 3.1 Pro
Vote: Python
Python's unparalleled versatility and readability make it the best overall programming language. Its elegant syntax closely resembles natural language, resulting in a low barrier to entry for beginners while maintaining the sheer power required for complex, enterprise-level applications. Furthermore, Python dominates the most important cutting-edge fields today, including artificial intelligence, machine learning, and data science. Its incredibly rich ecosystem of libraries—such as TensorFlow, PyTorch, and Pandas—makes it the undisputed king of data-driven innovation, while frameworks like Django and FastAPI make it highly effective for web development. While Python may not match the raw execution speed of compiled languages like C or Rust, developer time is almost always more expensive and critical than compute time in modern software engineering. Python optimizes for developer productivity, enabling rapid prototyping, faster time-to-market, and highly maintainable codebases.
Claude Sonnet 4
Vote: Python
Python stands out as the most versatile and accessible programming language available today. Its clean, readable syntax lowers the barrier to entry for beginners while remaining powerful enough for expert-level work. Python dominates in the most transformative fields of modern computing: machine learning, data science, and AI. Libraries like NumPy, Pandas, TensorFlow, and PyTorch have made Python the undisputed king of scientific computing and AI development. Its ecosystem is enormous — PyPI hosts over 450,000 packages, meaning there's almost always a well-maintained library for any task. From web development (Django, FastAPI) to automation, scripting, scientific computing, and DevOps, Python covers an extraordinary range of use cases. While Python isn't the fastest at runtime, modern hardware and optimized libraries (often written in C under the hood) mitigate this. For the vast majority of applications, developer productivity matters more than raw execution speed, and Python excels at maximizing productivity. Python consistently ranks #1 or #2 in popularity indexes (TIOBE, Stack Overflow surveys), has massive community support, and is heavily backed by major tech companies. For most developers, most of the time, Python is simply the best tool available.
GPT-5 Mini
Vote: Rust
Rust strikes the best balance between safety, performance, and modern developer ergonomics. Its ownership and borrow-checker model prevents whole classes of memory and concurrency bugs at compile time while still compiling to native machine code. Rust delivers performance comparable to C/C++ but with strong guarantees that make large, long-lived codebases more maintainable. Its zero-cost abstractions let you write high-level code without paying runtime penalties. Cargo (package manager), rustc, and the wider tooling ecosystem (clippy, rustfmt, IDE support) provide an excellent developer experience. The language also has good C interop, making it practical to incrementally adopt in existing systems. There is a learning curve, but for projects where correctness, performance, and long-term maintainability matter, Rust is the best overall choice today.
Sonar Reasoning Pro
Vote: Python
The search results unanimously establish that there is no universally 'best' programming language—it depends entirely on the use case[3]. However, if forced to choose a single language that offers the broadest utility and highest demand in 2026, Python emerges as the strongest candidate. Python commands the highest recruiter demand at 45.7% of job postings[2] and holds a 22.61% share in the TIOBE Index[2]. It dominates critical growth areas: AI/ML, data science, automation, and backend systems[3]. Python's beginner-friendly syntax combined with powerful libraries makes it accessible yet capable for professional development[1]. While other options excel in specific domains (TypeScript for web[3], Rust for performance-critical systems[3], Go for cloud services[3], Kotlin for Android[1]), Python's versatility across AI, backend, scripting, and data engineering makes it the most defensible 'best' choice when a single answer is required. In 2026, Python remains the workhorse language with the broadest applicability[3].
Claude Sonnet 4
Vote: Python
Python stands out as the best programming language for several compelling reasons. First, Python's readability and simplicity make it accessible to beginners while remaining powerful for experts. Its clean syntax allows developers to express concepts in fewer lines of code compared to languages like C++ or Java, reducing development time and maintenance costs. Second, Python has the most comprehensive ecosystem across diverse domains. Whether you're building web applications with Django/Flask, performing data science with pandas/NumPy, developing machine learning models with TensorFlow/PyTorch, or automating tasks, Python has mature, well-documented libraries ready to use. Third, Python's versatility is unmatched. While Rust excels at systems programming and TypeScript at frontend development, Python performs admirably across backend development, scientific computing, automation, AI/ML, data analysis, and even education. This makes it the most practical choice for organizations and individuals. Fourth, Python has the largest and most active community. This translates to abundant learning resources, quick answers to questions, and continuous innovation in libraries and frameworks. Finally, Python's market demand remains exceptionally high. It consistently ranks as one of the most sought-after languages by employers, particularly in high-growth fields like data science and AI. While languages like Rust offer superior performance and safety for specific use cases, Python's combination of ease of use, versatility, ecosystem maturity, and widespread adoption makes it the most valuable language to know today.
GPT-5
Vote: Python
“Best” should optimize for breadth, productivity, and real-world impact across diverse teams. Python leads on those axes. Productivity: Clean, readable syntax and batteries-included standard library accelerate onboarding and iteration. Beginners ramp quickly; experts stay fast. Ecosystem: Unmatched coverage—ML/AI (PyTorch, TensorFlow), data (pandas), scientific (NumPy, SciPy), web (FastAPI, Django), automation/devops (Ansible). One language from prototype to production. Interop and performance: Offload hotspots to C/Rust via C-extensions, Cython, Numba, or PyO3; solid FFI and mature packaging (wheels). Concurrency via asyncio/multiprocessing for IO-heavy workloads. Community and stability: Massive community, abundant libraries, strong documentation, and a deep hiring pool reduce risk and time-to-value. Caveats: For hard real-time, low-latency systems, or browser runtimes, Rust/TypeScript may win. But as a default choice across most domains, Python maximizes impact with minimal friction.
GLM 5
Vote: Python
Python stands out as the best programming language due to its exceptional versatility and accessibility. It excels across numerous domains including web development, data science, machine learning, automation, scientific computing, and education. This breadth makes it valuable to the widest range of developers. The language prioritizes readability and developer productivity with clean, intuitive syntax. Its gentle learning curve allows beginners to become productive quickly while still offering depth for advanced use cases. The massive ecosystem through PyPI provides ready-made solutions for virtually any problem. Python's philosophy of 'there should be one obvious way to do it' promotes maintainable, consistent code. Combined with strong community support, extensive documentation, and consistent ranking among the most in-demand languages, Python offers the best balance of practicality, accessibility, and real-world utility.
Mistral Medium
Vote: Rust
The best programming language depends on the balance of performance, safety, and developer experience. **Rust (D)** excels in all three areas, making it the strongest choice overall. **Performance:** Rust matches low-level languages like C and C++ in speed and efficiency, thanks to zero-cost abstractions and fine-grained control over memory. It avoids garbage collection overhead while still providing high-level ergonomics, making it ideal for systems programming, game engines, and performance-critical applications. **Safety:** Rust’s ownership model eliminates entire classes of bugs—such as data races, null pointer dereferences, and buffer overflows—at *compile time*. This is a game-changer for security and reliability, especially in industries like finance, embedded systems, and web browsers (e.g., Firefox’s adoption of Rust). No other language on this list offers such strong guarantees without runtime penalties. **Developer Experience:** Rust’s tooling is world-class. `cargo` simplifies dependency management, building, and testing, while its compiler provides *unparalleled* error messages that guide developers toward correct solutions. The language’s expressive type system and pattern matching reduce boilerplate and enable fearless refactoring. While the learning curve is steep, the long-term productivity gains outweigh the initial investment. **Versatility:** Rust is not just for systems programming. It powers web assembly (WASM), backend services (e.g., with `actix-web` or `rocket`), and even scripting (via tools like `scriptisto`). Its interoperability with C and growing ecosystem (e.g., `tokio` for async, `serde` for serialization) make it adaptable to almost any domain. **Community and Future-Proofing:** Rust consistently tops Stack Overflow’s 'most loved language' surveys, indicating strong developer satisfaction. It’s backed by major tech companies (Google, Amazon, Microsoft) and foundations (Rust Foundation, Linux Foundation). Its focus on backward compatibility and gradual evolution ensures long-term viability. **Comparison to Alternatives:** - **C/C++ (A/B):** Lack memory safety and modern tooling. Manual memory management is error-prone and costly. - **C# (C)/Golang (G):** Safer but sacrifice performance or low-level control. Garbage collection adds unpredictability. - **Kotlin (E)/TypeScript (F):** Excellent for their niches (Android, web) but lack Rust’s performance and safety guarantees. - **Python (H):** Productive but slow and dynamically typed, making it unsuitable for systems or performance-critical tasks. Rust’s unique combination of **speed, safety, and expressiveness** makes it the best choice for *both* new projects and legacy modernization. It’s the only language here that pushes the entire industry forward.
Claude Opus 4
Vote: Python
Python is the best general-purpose programming language when considering the broadest range of criteria: accessibility, versatility, ecosystem, and real-world impact. First, Python has an unmatched ecosystem. It dominates in data science, machine learning, AI, scientific computing, automation, scripting, web development (Django/Flask), and education. No other language on this list comes close to covering so many high-impact domains simultaneously. Second, Python's readability and gentle learning curve make it the most accessible language for beginners while still being powerful enough for experts. This has created the largest and most active developer community in the world, which in turn fuels an extraordinary library ecosystem (NumPy, pandas, TensorFlow, PyTorch, etc.). Third, Python is the lingua franca of the AI revolution. With the explosive growth of machine learning and large language models, Python's dominance in this space alone arguably makes it the most consequential programming language of the current era. Yes, Python is slower than C, C++, Rust, and Go in raw execution speed. But for most real-world applications, developer productivity and ecosystem richness matter far more than raw performance. When performance is critical, Python seamlessly integrates with C/C++ extensions or leverages optimized libraries written in lower-level languages. While Rust offers memory safety and Go offers simplicity for systems programming, and TypeScript excels in web development, none of them match Python's breadth of applicability and sheer ubiquity across industries.
Grok 4
Vote: Python
Python is the best programming language due to its simplicity and readability, making it accessible for beginners and efficient for experienced developers. It has a vast ecosystem of libraries and frameworks, supporting diverse applications from web development to data science and AI. Python's versatility, community support, and cross-platform compatibility make it ideal for rapid prototyping and production-level projects. While other languages excel in specific areas like performance (e.g., C++ or Rust), Python's balance of ease-of-use and power makes it the overall best choice for most users.
MiniMax M2.5
Vote: Python
Python is the most versatile programming language available today. It excels in web development, data science, machine learning, automation, scripting, scientific computing, and more. Its clean, readable syntax makes it accessible to beginners while remaining powerful enough for experts. Python's massive ecosystem of libraries (NumPy, Pandas, TensorFlow, Django, Flask) means you can accomplish nearly any task with well-maintained tools. It's the dominant language in the fastest-growing fields: AI/ML and data science. While other languages may outperform Python in specific domains (Rust for memory-safe systems programming, Go for concurrent servers, TypeScript for web frontends), Python's breadth of applicability and ease of use make it the best overall choice for most developers and organizations.
Gemini 2.5 Pro
Vote: Python
Python stands out as the 'best' programming language due to its unmatched combination of simplicity, versatility, and an immense ecosystem. Its clear, readable syntax lowers the barrier to entry for beginners and enhances productivity for experienced developers, making it one of the most accessible and widely taught languages globally. This accessibility has fostered a massive and active community, which in turn has built one of the most extensive library ecosystems available. Whatever the domain—from web development (Django, Flask) to data science and machine learning (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) to automation and scripting—Python provides robust, well-maintained tools that dramatically accelerate development. While some languages may offer superior raw performance, Python's emphasis on developer productivity is a more critical asset in many modern applications. For tasks where speed is paramount, Python's ability to interface with C/C++ libraries provides an effective escape hatch. This blend of ease of use, broad applicability, and ecosystem power makes Python the most effective general-purpose language for the widest range of developers and problems.
Mistral Large
Vote: Rust
The question of the 'best' programming language is inherently subjective and context-dependent, but Rust stands out as a compelling choice for several reasons. Its design prioritizes safety, performance, and concurrency, addressing critical pain points in modern software development. First, Rust's ownership model eliminates entire classes of bugs at compile time, such as data races and null pointer dereferences. This leads to more reliable and secure software without sacrificing performance. The language achieves this while maintaining zero-cost abstractions, meaning the safety guarantees come with minimal runtime overhead. Second, Rust's performance is on par with C and C++, making it suitable for systems programming, game development, and other performance-critical domains. Unlike many high-level languages, Rust does not require a garbage collector, which can introduce unpredictable latency. This makes it ideal for real-time systems and embedded development. Third, Rust's growing ecosystem and tooling are robust and modern. Cargo, Rust's package manager and build system, simplifies dependency management and project configuration. The language also has excellent documentation and a welcoming community, which lowers the barrier to entry for new developers. Finally, Rust's versatility is a significant advantage. It is used in a wide range of applications, from operating systems (e.g., parts of the Linux kernel) to web assembly (WASM) for high-performance web applications. This adaptability ensures that Rust developers can tackle diverse challenges without switching languages. While other languages excel in specific areas (e.g., Python for scripting, TypeScript for web development), Rust's combination of safety, performance, and versatility makes it a strong candidate for the title of 'best' programming language in a general sense.
DeepSeek V3.1
Vote: Python
Python excels due to its exceptional readability and ease of learning, which lowers the barrier to entry for newcomers and accelerates development. Its syntax is clean and intuitive, reducing cognitive load and enabling rapid prototyping. It boasts a massive, mature ecosystem with extensive libraries for AI, data science, web development, and automation, making it incredibly versatile. From TensorFlow to Django, Python powers critical tools in high-growth fields. Strong community support, cross-platform compatibility, and widespread adoption in education and industry ensure its longevity and relevance. While other languages excel in specific niches, Python's balance of simplicity and power makes it the best overall choice.
Qwen 3.5 397B
Vote: Python
Python offers the best balance between readability and power. It dominates data science, AI, and machine learning, which are critical modern fields. The vast library ecosystem allows developers to build almost anything quickly. Its simplicity makes it accessible for beginners while remaining robust enough for experts.