All AI Coding Models

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

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

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

Fast, cost-effective model for high-volume tasks. Great for code review and simple queries.

First generation Opus. Highest reasoning capability in the Claude 3 family.

First generation Sonnet. Balanced performance for general tasks.

Cheapest Claude model. Fast responses for simple tasks and basic coding.

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

Affordable small model. Fast and cost-effective for high-volume coding tasks.

Previous generation high-performance model. Good for complex reasoning tasks.

Original GPT-4. Most expensive OpenAI model, largely superseded by newer options.

Budget model for simple tasks. Being phased out but still widely used.

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

Cost-effective reasoning model. Good for coding tasks that require logical reasoning.

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

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

Updated mini reasoning model. Similar pricing to o3-mini with updated capabilities.

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

Fast and affordable Google model. Great for high-volume coding and processing.

Cheapest Google model. Fast responses for simple coding tasks.

Previous generation Google pro model. Good for general tasks.

Cheapest Gemini model. Good for high-volume, simple tasks.

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

Qwen's most powerful model. Strong reasoning and coding capabilities.

Balanced Qwen model for general tasks. Good price-performance ratio.

Fastest and cheapest Qwen model. Good for high-volume tasks.

Qwen model specifically optimized for coding tasks.

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

Very affordable general-purpose model from DeepSeek. Strong coding and reasoning at low cost.

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

DeepSeek's reasoning model. Comparable to OpenAI's o1 but at much lower cost.

Mistral's flagship model. Strong multilingual and coding capability.

Mistral's cost-effective model. Very affordable for general-purpose tasks.

Updated Haiku model with improved reasoning over Claude 3.5 Haiku. Fast and affordable for high-volume tasks.

Premium reasoning model with extended compute. Best-in-class for complex math, science, and advanced coding challenges.

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

The most affordable Gemini model. Ultra-low cost for high-volume, simple coding and text tasks.

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

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

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

Updated V3 model with improved general reasoning and multilingual capability. Strong value proposition.

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

Fast and affordable Qwen 3 generation model. Good for high-volume tasks with improved quality over Qwen Turbo.

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

Cost-effective xAI model for high-volume tasks. Good balance of capability and affordability.

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

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

Mid-tier Gemini 2.0 model. Better quality than Flash at a competitive price point for enterprise coding tasks.

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

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

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

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

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

Ultra-budget DeepSeek model for high-volume tasks. Competitive with Gemini Flash pricing.

xAI's multimodal vision model. Combines Grok 3's reasoning with image and diagram understanding.

Lighter version of Claude Sonnet 4. Good balance of quality and cost for day-to-day coding.

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

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

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.

Reka's fast multimodal model. Compact and efficient for high-volume tasks with vision capability.

Amazon's most cost-effective model. Optimized for speed and low-cost text generation tasks.

Amazon's lightweight multimodal model. Good balance of cost and capability for image + text.

Amazon's flagship model via Bedrock. Competitive with GPT-4o and Claude Sonnet for enterprise workloads.

Amazon's most capable Nova model. Designed for complex reasoning and large-context enterprise tasks.

Cohere's RAG-optimized model. Built for search, retrieval, and enterprise knowledge management.

Cohere's premium model with higher accuracy. Optimized for complex reasoning and tool use tasks.

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

01.ai's cost-effective model. Competitive Chinese-English bilingual model at very low prices.

01.ai's flagship model. Strong bilingual capabilities for enterprise applications.

Zhipu AI's ultra-cheap model. Near-free pricing for high-volume Chinese and English text tasks.

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

Zhipu AI's mid-tier model. Good balance of cost and performance for Chinese-language applications.

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

MiniMax's flagship model. Strong performance in Chinese and English with competitive pricing.

MiniMax's cost-effective text model. Optimized for high-volume Chinese text generation.

Perplexity's search-optimized model. Built for real-time web search with cited answers.

Perplexity's standard search model. Fast, cited answers at lower cost than Sonar Pro.

Perplexity's most advanced search model with deep reasoning. Complex research tasks with cited sources.

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

Stability AI's general-purpose language model. Open weights with competitive performance.

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

Mixtral MoE on Groq's LPU. Fast, cost-effective inference for general tasks.

Google's Gemma 2 9B on Groq's LPU. Extremely fast small model for simple tasks.

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

Meta's 405B model hosted on Databricks. Largest open-weight model available for enterprise use.

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

Mistral Small 3 via Together AI. Efficient mid-size model for general tasks.

OpenAI's smallest and cheapest GPT-4.1 model. Fast responses for simple tasks.

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

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

Google's most cost-effective Gemini model. Great for high-volume, latency-sensitive applications.

Google's latest Flash model with improved reasoning. Excellent price-performance for multimodal tasks.

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

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

Qwen's visual reasoning model. Advanced image + text reasoning capabilities.

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.

Mistral's efficient small model. Great performance for its size at very competitive pricing.

Mistral's enterprise-grade large model. Strong multilingual and coding capabilities.

Mistral's multimodal model with strong image understanding. Competitive with GPT-4o Vision.

Mistral's lightweight vision-language model. Affordable image understanding with good performance.

xAI's previous generation model. Strong performance with real-time X/Twitter knowledge access.

Grok 2 with image input support. Vision capabilities combined with real-time X knowledge.

Meta's smallest Llama 3.1 model. Open weights, deploy anywhere. Great for self-hosted applications.

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

Meta's Llama 4 mid-tier multimodal model. Native multimodal with efficient inference.

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

Microsoft's compact Phi-3 model. Small but capable model for edge and IoT deployment.

Microsoft's mid-size Phi-3 model. Better performance than Mini for moderate complexity tasks.

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

Reka's flagship multimodal model. Strong image and video understanding with multilingual support.

Reka's lightweight multimodal model. Affordable image and video understanding.