Budget 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.

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

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.

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.

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 latest small model with improved coding ability. Better than Phi-3 for developer 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.

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

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.

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

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

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.

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

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

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

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.

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

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

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.

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

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

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

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

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

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

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

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.

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

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.

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

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.