General-Purpose AI Models

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

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

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.

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.

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

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.

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

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.

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

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.

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.

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.

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.

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.