Cheapest LLM API Providers in 2026: 7 Options Ranked by Price

LLM API pricing has gotten ridiculously cheap.

But there is a catch: the cheapest input-token price does not necessarily mean the cheapest API.

Output tokens can cost several times more than input tokens, free tiers come with rate limits, and the same model can cost dramatically different amounts depending on where you access it.

So if you’re building an AI product, chatbot, RAG pipeline, or agentic workflow, here are 7 LLM API providers worth comparing in 2026.

1. Packet.ai Token Factory — Best for Cost-Efficient Open Models Packet.ai Token Factory provides managed, OpenAI-compatible inference without requiring you to provision or manage GPUs.

Its catalog includes models such as Llama, DeepSeek, Qwen, and Kimi K3, with competitive per-token pricing. Llama 3.3 70B is currently listed at $0.30 per million input and output tokens, while Llama 3.1 8B starts at $0.06/M.

Best for: Production inference, open models, and teams trying to reduce API costs without managing infrastructure.

1. Groq — Best for Cheap, Fast Inference Groq combines low pricing with extremely fast inference. Llama 3.1 8B is listed at $0.05/M input and $0.08/M output.

Best for: High-speed applications, prototyping, and latency-sensitive workloads.

1. Google Gemini — Best for Budget-Friendly General AI Google offers some of the lowest-priced options in its Gemini lineup, including Flash-Lite models aimed at high-volume workloads.

Best for: High-volume applications already using the Google ecosystem.

1. DeepSeek — Best for Low-Cost Reasoning DeepSeek remains one of the biggest names in cost-efficient AI. Its V4 Flash pricing currently varies between peak and off-peak periods, making the time at which you run your workload increasingly relevant to your bill.

Best for: Coding, reasoning, and high-volume inference.

1. Together AI — Best for Model Variety Together AI provides access to a large catalog of open models through a single API, making it useful for teams that frequently benchmark or switch between models.

Best for: Developers who want model choice without managing multiple integrations.

1. Mistral AI — Best for Efficient European AI Mistral offers competitively priced models with an attractive option for teams looking for European AI infrastructure and data-residency considerations.

Best for: Cost-conscious production workloads and European deployments.

1. OpenRouter — Best for Comparing Providers OpenRouter gives developers one interface for accessing models from multiple providers.

It’s particularly useful when you’re testing models, comparing pricing, or looking for alternative providers without rewriting your application integration.

Best for: Model experimentation and provider flexibility.

How to Actually Find the Cheapest LLM API
Don’t compare input price alone.

Calculate:

Total cost = input tokens × input rate + output tokens × output rate

Then factor in caching, batch discounts, rate limits, latency, and the model’s actual quality for your workload. Output pricing can be 3–6x input pricing, so an API that looks cheap at first glance can become expensive once your application starts generating long responses.

Want the full pricing comparison? Read the complete guide: Cheapest LLM API Providers in 2026