General-Purpose AI Models

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

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

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

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

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

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

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

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

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

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

Cheapest Google model. Fast responses for simple coding tasks.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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.

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

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

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.

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

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

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

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

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

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

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

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

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

Previous generation Google pro model. Good for general tasks.

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

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

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.

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

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

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.

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

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

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

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

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

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.

First generation Sonnet. Balanced performance for general tasks.

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.

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

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

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

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

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

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

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

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

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

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