AI Coding Models

Stability AI's code-focused model. Small, efficient model for code completion and generation.

Microsoft's compact 14B model with strong reasoning and coding capability. Excellent value for small-scale deployments.

Google's open-weight 27B model. Budget-friendly with strong coding capability and Google's research backing.

Microsoft's latest small model with improved coding ability. Better than Phi-3 for developer tasks.

DeepSeek's latest general model. Competitive with Claude Sonnet at a fraction of the cost.

DeepSeek's reasoning model. Open-weight model that rivals o1 for complex reasoning tasks.

Compact 12B open-weight model co-developed with NVIDIA. Excellent coding performance at minimal cost.

Qwen's code-specialized 32B model. Trained on 130+ programming languages.

Meta's mid-size Llama 3.1. Strong general performance with open weights for custom deployment.

Fast coding model from Qwen. Good price-performance for code generation.

Meta's open-weight 70B model. Strong coding and general capability, widely supported across AI platforms.

DeepSeek's coding-specialized model. Open-source and very affordable.

Latest generation DeepSeek coding model. Improved code understanding and generation over V2.

Mistral's dedicated coding model. Open-weight and highly optimized for code generation and completion.

Updated Qwen Coder Turbo with improved code generation quality. Strong value for budget coding.

Mid-tier Mistral model between Small and Large. Strong coding capability at a moderate price point.

Cost-optimized GPT-4.1 variant. Strong coding capability at budget pricing, replacing GPT-4o mini for many use cases.

Qwen's open-weight 72B model. Strong Chinese and English performance at competitive pricing.

Meta's Llama 4 flagship model. Strong multimodal and coding with MoE architecture.

Latest Qwen coding-specialized model. Strong performance on HumanEval and competitive programming benchmarks.

Llama 3.3 70B running on Groq's ultra-fast LPU inference. Sub-100ms responses for 70B model.

Zhipu AI's balanced model. Strong Chinese language understanding with competitive coding ability.

Databricks' open MoE model. Competitive with GPT-3.5 for coding and general tasks.

Qwen model specifically optimized for coding tasks.

Llama 3.3 70B via Together AI. Cost-effective inference for open models.

Affordable reasoning model for coding tasks. Best price-performance for algorithm-heavy work.

OpenAI's reasoning model at lower cost. Strong at math, coding, and science tasks.

Google's most capable model. Strong coding, multimodal understanding, and very competitive pricing.

xAI's coding-specialized model. Optimized for code generation, debugging, and software engineering tasks.

Updated GPT-4 generation with improved instruction following and reduced hallucination. Better coding accuracy than GPT-4o.

Latest Mistral flagship model. Improved coding and multilingual capability over Large 2.

Cohere's newest model with strong agentic capabilities. Optimized for tool use and autonomous tasks.

OpenAI's flagship multimodal model. Strong coding and reasoning at competitive pricing.

Anthropic's balanced model for coding and general tasks. Best price-performance ratio in the Claude family.

Previous generation Sonnet. Still excellent for coding tasks at the same price point.

Qwen's latest general-purpose model. Competitive with Claude Sonnet pricing.

xAI's flagship model. Strong general-purpose capability with real-time knowledge access through X platform integration.

Next-generation xAI model with enhanced reasoning and coding capability. Competes with Claude Opus and o3 Pro tier.

Flagship Qwen 3 model. Top-tier reasoning and coding, competitive with Claude Opus and GPT-4.1.

Zhipu AI's most capable model with full tool use support. Code interpreter, web search, and image generation.

Next generation reasoning model. Improved coding and math over o1.

Anthropic's most powerful model. Best for complex reasoning and challenging coding tasks.

Reasoning model optimized for complex problem-solving. Excels at math, science, and advanced coding.

OpenAI's first reasoning model. Strong at complex problem solving but expensive.

Top-tier reasoning model combining o3's coding strength with extended compute. The most powerful OpenAI model for reasoning-heavy coding.