Tool
LLM API Pricing 2026
A developer-friendly, approximate view of 2026 LLM API pricing. Always check provider docs for exact, up-to-date numbers — this tool is meant to help you reason about orders of magnitude, not replace official pricing pages.
How to use this
The monthly cost ranges assume a rough workload of 10,000 requests/day with about 1000 input and 500 output tokens per request. Real projects will vary, but this gives you a feel for relative spend across providers and tiers.
| Provider | Tier | Example models | Input / 1M tokens | Output / 1M tokens | Context | Approx. monthly cost* |
|---|---|---|---|---|---|---|
| OpenAI | Frontier | GPT-5.x | ~$1.75 | ~$14.00 | Standard large context | $1K+/mo |
| Anthropic | Frontier | Claude Opus line | ~$5.00 | ~$25.00 | Very large context windows | $1K+/mo |
| Frontier | Gemini Ultra-like tiers | similar to Opus | similar to Opus | Large context | $1K+/mo | |
| xAI | Frontier | Grok 4.x | mid-tier-ish | mid-tier-ish | Good context | $1K+/mo |
| OpenAI | Mid-tier | GPT-5.1 / strong 4.x | ~$1.25 | ~$10.00 | Good context | $1K+/mo |
| Anthropic | Mid-tier | Claude Sonnet line | ~$3.00 | ~$15.00 | Very large context | $1K+/mo |
| Mid-tier | Gemini Pro-like tiers | similar to Sonnet | similar to Sonnet | Large context | $1K+/mo | |
| xAI | Mid-tier | Grok 3.x | aggressively priced | aggressively priced | Good context | $250–$1K/mo |
| OpenAI | Budget | mini / nano models | $0.10–$0.40 | $0.10–$0.40 | Smaller | $50–$250/mo |
| Anthropic | Budget | Haiku-like tiers | higher than OpenAI small | higher than OpenAI small | Smaller | $250–$1K/mo |
| Budget | Lightweight Gemini | varies by region | varies by region | Smaller | $1K+/mo | |
| xAI | Budget | Smaller Grok variants | competitive | competitive | Smaller | $250–$1K/mo |
* Very rough ranges, based on illustrative 2026 pricing bands. Always confirm with official pricing pages before committing to a provider.
For a deeper, written breakdown of these trade-offs — including when Anthropic or Google still make sense despite higher per-token prices, and when xAI's aggressive pricing is worth the switch — read the full guide: OpenAI vs Anthropic vs Google vs xAI API Pricing 2026 →
Frequently asked questions
Which LLM API is cheapest for high-volume use in 2026?
For most high-volume workloads, OpenAI's mid-tier models and xAI's Grok family offer the best cost/performance trade-off. Anthropic and Google tend to be more expensive per token but offer larger context windows and different safety profiles. The right choice depends on your mix of quality, context, and budget.
How do I estimate my monthly LLM API spend?
Multiply your average tokens per request (input + output) by the number of requests per day, then by roughly 30 for a month, and divide by one million. Multiply that by the combined input and output price per million tokens. This tool does that roughly for you with the sample workload shown above.
Do prices differ by region (US, Europe, India, Australia)?
Base token prices are usually global, but effective cost can vary by region due to taxes, currency conversion, and regional discounts or bundled cloud deals. Latency also varies by region, which may influence which provider is best for your users.
Should I always use the cheapest LLM available?
No. Cheaper models are ideal for classification, extraction, and simple chat, but complex reasoning, safety-sensitive domains, and user-facing features often need stronger models. A common 2026 pattern is to mix tiers: small models for routine tasks, mid-tier for most user interactions, and frontier models only where they clearly add value.