Cheapest LLM API in 2026: Full Price Comparison
We compared 26 LLM models across 8 providers to find the cheapest API for every use case — from bulk processing to complex reasoning.
Practical guides on LLM pricing, cost optimization, and model comparisons.
We compared 26 LLM models across 8 providers to find the cheapest API for every use case — from bulk processing to complex reasoning.
Practical techniques to dramatically cut your OpenAI API bill: prompt caching, model routing, batch API, and token optimization strategies.
A detailed comparison of OpenAI, Anthropic, and Google's pricing models, context windows, and value for different workloads.
Everything you need to know about prompt caching across Anthropic, OpenAI, and Google — how it works, when to use it, and how much you save.
How DeepSeek R1 and Chat pricing compares to GPT-4o and Claude Sonnet — and when it makes sense to switch for your workload.
Complete pricing breakdown for all Mistral AI models — Magistral reasoning, Codestral for code, Mistral Large vs GPT-4o, and EU data residency options.
Meta Llama 4 pricing explained — Maverick vs Scout, hosted API vs self-hosting economics, and when Llama 3.1 8B is still the cheapest capable option.
Detailed cost comparison of Google Gemini 2.5 Pro vs OpenAI GPT-4o — monthly pricing at scale, where each model wins, and when to use Gemini 2.5 Flash instead.
Which LLM API should you use for your chatbot? We compare cost, quality, and context window for customer support, RAG, and high-volume use cases.
Complete guide to Anthropic Claude API pricing — Opus, Sonnet, and Haiku tiers, prompt caching discounts, and how Claude compares to GPT-4o at scale.
Head-to-head comparison of the two most popular small LLM APIs — pricing, performance, caching advantages, and which to choose for your use case.
Practical techniques to dramatically cut your LLM API bill: model routing, prompt caching, batch API, output control, and provider switching strategies.
How much cheaper is DeepSeek R1 than o3? Benchmark scores, monthly cost at scale, and which reasoning model to choose for your workload.
What is a token, how many tokens is your content, and exactly how does token count translate to API cost? Everything developers need to know.
A practical guide to OpenAI's Batch API — how it works, which models support it, real savings calculations, and how to combine it with prompt caching for maximum cost reduction.
Google's Gemini 3 series is here — Ultra, Pro, Flash, and Flash-Lite. Full pricing breakdown, how each model compares to Gemini 2.5, and which to use for your workload.
OpenAI's GPT-5 is out at $8/1M input — 4x more than GPT-4.1. We break down when the upgrade is worth it, how GPT-5 Mini competes, and what this means for your monthly bill.
DeepSeek R2 is faster, smarter, and has 2x the context window of R1 — at $0.80/1M vs $0.55/1M. We compare benchmarks, costs, and use cases to help you decide.
GPT-4.1 costs 20% less than GPT-4o and has an 8x larger context window. We compare pricing, performance scores, and real monthly costs to help you decide when to switch.
Claude Opus 4.7 for agents, Sonnet 4.6 for code review, Codestral for autocomplete, GPT-4.1 Mini for bulk tasks — a practical guide to picking the right model for coding.
Opus 4.7 costs 1.67x more than Sonnet 4.6. We break down exactly which workloads justify the premium — and where Sonnet is the smarter default.
Grok 3 at $3/1M input competes with Claude Sonnet on price but lacks prompt caching. We compare costs, performance, and whether real-time web access justifies choosing Grok.
Compress system prompts, switch to structured output, truncate context, and control output length. Practical token optimization techniques that reduce API costs by 40–60% without hurting quality.
When to use RAG, when to summarize conversation history, and when a 1M token context window is actually worth the cost. A practical decision guide for developers.
Route simple requests to cheap models and complex ones to frontier models. Practical guide to rule-based, LLM-based, and semantic routing — with real cost calculations.