Best LLM for Coding and Software Development

We benchmarked the top AI models on real-world programming tasks so you don't have to. Test every model from one API with LLMWise Compare mode.

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Evaluation criteria

Code accuracyMulti-file contextDebuggingRefactoringTest generation

Claude Sonnet 4.5Anthropic

The best all-around coding model in 2025. Claude Sonnet 4.5 excels at multi-file refactors, catches subtle bugs other models miss, and produces clean, idiomatic code across dozens of languages.

Handles 200K-token codebases with full contextBest-in-class debugging and error explanationGenerates comprehensive test suites automatically

DeepSeek V3DeepSeek

A serious contender that rivals models 10x its price. DeepSeek V3 is especially strong on algorithmic problems, competitive programming, and math-heavy code.

Outstanding performance on algorithm challengesExtremely cost-effective for high-volume coding tasksStrong reasoning through complex logic chains

GPT-5.2OpenAI

A reliable workhorse for everyday development tasks. GPT-5.2 has the broadest language coverage and best function-calling support, making it ideal for tool-augmented coding workflows.

Widest programming language coverageBest function-calling and structured outputExcellent at translating natural language specs to code

Gemini 3 FlashGoogle

Fast and cost-effective for iterative development. Gemini 3 Flash delivers solid code quality with significantly lower latency, making it ideal for IDE integrations and autocomplete.

Sub-second time to first token for code completionsStrong multimodal support for UI-to-code tasksLow cost per token keeps iteration affordable

Llama 4 MaverickMeta

The top open-source option for teams that need full control. Llama 4 Maverick can be self-hosted and fine-tuned on proprietary codebases, a key advantage for enterprise environments.

Fully open-source and self-hostableFine-tunable on proprietary code for domain accuracyStrong reasoning capability for complex architectures

Our recommendation

For most developers, Claude Sonnet 4.5 is the best choice for coding tasks thanks to its large context window and superior debugging. If budget is a priority, DeepSeek V3 delivers remarkable quality at a fraction of the cost. Use LLMWise Compare mode to test all five models on your actual codebase before committing.

Use LLMWise Compare mode to verify these rankings on your own prompts.

Common questions

Which LLM is best for writing production code?

Claude Sonnet 4.5 leads for production code due to its ability to handle multi-file context, produce idiomatic patterns, and catch edge-case bugs. DeepSeek V3 is a strong runner-up, especially for algorithmic and math-intensive code.

How can I compare coding models side by side?

LLMWise Compare mode lets you send the same prompt to up to four models simultaneously and see their outputs side by side in real time. This is the fastest way to evaluate which model writes the best code for your specific use case.

Is an open-source LLM good enough for coding?

Yes. Llama 4 Maverick and DeepSeek V3 both perform well on standard programming tasks. Open-source models are especially attractive when you need to fine-tune on proprietary code or self-host for compliance reasons.

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GPT-5.2 vs Claude Sonnet 4.5 Claude Sonnet 4.5 vs Gemini 3 Flash GPT-5.2 vs Gemini 3 Flash DeepSeek V3 vs GPT-5.2 DeepSeek V3 vs Claude Sonnet 4.5 Llama 4 Maverick vs Mistral Large