PLAIN ENGLISH
An API is just a way to talk to an AI model from your own app, tool, or automation — instead of using a chat window like ChatGPT. You send text in, get text back, and pay only for what you use.
STEP 1
You send a message
A question, a document to summarize, a task — any text
STEP 2
The AI processes it
The model reads your input and generates a response
STEP 3
You get the reply back
Plain text you can display, save, or act on — instantly
You pay per "token" — roughly 0.75 words. At DeepSeek V3 prices, 1 million tokens costs $0.07. A typical paragraph is ~100 tokens, so $0.07 buys you roughly 10,000 paragraphs of input.
You don't need to write code to use AI APIs — pick your starting point
I WRITE CODE
Call the model with any HTTP client or the OpenAI SDK. DeepSeek V3 is OpenAI-compatible — swap the base URL and you're done.
Per-token pricing is confusing — here's what common tasks cost in dollars
| Task | DeepSeek V3 | GPT-4o Mini | GPT-4o |
|---|---|---|---|
1,000 customer support replies ~500 tokens in, ~400 tokens out each | $0.15 | $0.32 | $1.65 |
Summarize 500 long documents ~2,000 tokens in, ~300 tokens out each | $0.74 | $1.65 | $8.75 |
10,000 product descriptions ~200 tokens in, ~300 tokens out each | $0.98 | $2.10 | $11.00 |
Classify 50,000 support tickets ~150 tokens in, ~20 tokens out each | $0.58 | $1.22 | $6.43 |
Estimates based on published per-token prices. Actual costs vary with prompt length and output verbosity.See live pricing →
Input cost per 1M tokens · sorted lowest first · updated daily
| Model | Provider | Input /1M | Output /1M | Speed | Best for |
|---|---|---|---|---|---|
| Meta: Llama 3.1 8B InstructCheapest | Meta | $0.020 | $0.050 | Very fast | High-throughput applications where cost and speed matter more than frontier-level quality, such as chatbots, content classification, and text summarization. |
| Mistral: Mistral Nemo | Mistral | $0.020 | $0.030 | Fast | Teams needing a cheap, fast, multilingual workhorse for classification, summarization, or light coding tasks at scale. |
| Meta: Llama 3.2 1B Instruct | Meta | $0.027 | $0.200 | Very fast | Ultra-low-cost text classification, simple Q&A, and high-volume automation pipelines where cost per token is critical. |
| Google: Gemma 2 9B | $0.030 | $0.090 | Very fast | Lightweight text tasks, classification, and summarization where cost matters more than frontier-level quality. | |
| Meta: Llama 3 8B Instruct | Meta | $0.040 | $0.040 | Very fast | High-volume, cost-sensitive applications where speed and price matter more than peak accuracy. |
| OpenAI: GPT-5 Nano | OpenAI | $0.050 | $0.400 | Very fast | High-volume, latency-sensitive applications like classification, autocomplete, summarization, and lightweight chat where cost-per-token matters most. |
| Google: Gemini 2.0 Flash Lite | $0.075 | $0.300 | Very fast | High-throughput, cost-sensitive pipelines where speed and price matter more than top-tier reasoning quality. | |
| Mistral: Mistral Small 3.2 24B | Mistral | $0.075 | $0.200 | Fast | High-volume production workloads where cost matters but quality can't be sacrificed entirely — especially code generation and structured output tasks. |
NO CODE REQUIRED
These tools connect to the same underlying AI models — no programming needed
7,000+ app integrations. Native AI steps for OpenAI, Anthropic, and Google. Easiest starting point.
Visual workflow builder with AI modules. More powerful than Zapier for complex branching logic.
Open-source, self-hostable. Has OpenAI and Anthropic nodes. Free to run on your own server.
No-code app builder with API connector. Build a full web app that calls AI APIs without writing backend code.
DEVELOPER QUICKSTART
DeepSeek V3 is fully OpenAI-compatible — just swap the base URL. Works with the standard OpenAI SDK in any language.
JAVASCRIPT / NODE
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env.DEEPSEEK_API_KEY,
baseURL: 'https://api.deepseek.com/v1',
});
const reply = await client.chat.completions.create({
model: 'deepseek-chat',
messages: [{ role: 'user', content: 'Your prompt here' }],
});
console.log(reply.choices[0].message.content);
// ~$0.07/1M input tokensPYTHON
from openai import OpenAI
client = OpenAI(
api_key="your-deepseek-key",
base_url="https://api.deepseek.com/v1",
)
reply = client.chat.completions.create(
model="deepseek-chat",
messages=[{"role": "user", "content": "Your prompt"}],
)
print(reply.choices[0].message.content)
# ~$0.07/1M input tokensAn API is a way to talk to an AI model from your own app, website, or automation tool — instead of using a chat interface like ChatGPT. You send a message (text in), get a reply (text out), and pay only for what you use. Think of it like a phone line to the AI's brain: you dial in with your question, get the answer, and hang up. You're charged per 'token' (roughly 0.75 words), not per month.
DeepSeek V3 is the cheapest capable AI API at $0.07/1M input tokens. Gemini Flash is close behind at $0.075/1M. Both handle writing, summarisation, classification, and coding well enough for most production use cases. At these prices, 1 million tokens costs about the same as a cup of coffee.
No. Tools like Zapier, Make.com, and n8n let you connect to the same AI APIs with no code at all — through a visual drag-and-drop interface. You can build automations like 'when I get a customer email, summarize it and draft a reply' without writing a single line of code.
With DeepSeek V3 (assuming ~500 tokens in, ~400 tokens out per request): about $0.15 total. With GPT-4o Mini: about $0.32. With GPT-4o: about $1.65. Most real-world automations cost pennies or fractions of a cent per run at the cheap tier.
DeepSeek is a Chinese company. For business use cases involving sensitive customer data or regulated industries (healthcare, finance, legal), sticking with US-based providers (OpenAI, Anthropic, Google) is the safer default. For non-sensitive content generation, summarisation, or translation, DeepSeek V3's quality and price are hard to beat.
A subscription ($20/mo ChatGPT Plus, $20/mo Claude Pro) gives you a chat interface with a monthly flat fee and usage limits. An API is pay-as-you-go and lets you embed AI into your own tools, apps, or automations. Subscriptions are better for daily personal use; APIs are better for building something or automating workflows.
DeepSeek V3 ($0.07/1M) handles code generation surprisingly well for its price. Gemini Flash ($0.075/1M) is comparable. For interactive coding where you want more reliability, Claude Sonnet 4.6 at $3/1M is the best mid-tier value — it scores highest on SWE-bench among non-premium models.
Yes. Zapier has native OpenAI and Anthropic integrations that use the same underlying models. Make.com also supports OpenAI, Anthropic, and Google AI modules. Many cheap models (including DeepSeek V3) are OpenAI-compatible, so they work with any tool that supports the OpenAI API format.
Google Gemini has a free API tier (rate-limited). OpenAI and Anthropic do not offer free tiers on their production APIs, but both have free consumer apps (ChatGPT free, Claude.ai free) for personal use. For testing and prototyping, Gemini's free tier is the best starting point.
Upgrade when the cost of bad outputs exceeds the cost of better tokens. Signs: your cheap model is hallucinating in customer-facing workflows, requiring frequent human correction, or producing output that's damaging your brand. A model 10× more expensive but 30% more accurate often costs less overall when you factor in correction time.
The cheapest AI API in 2026 costs $0.07 per million tokens — that's DeepSeek V3, and it competes with models 10× its price on most real tasks. You don't need to be a developer to use an AI API: tools like Zapier and Make.com connect to these same models with no code at all. This page covers the best cheap options for everyone — whether you're building a product, automating a workflow, or just want to understand what 'API' actually means.
Ultra-cheap multimodal model for massive-volume, low-complexity pipelines.
DeepSeek V3 at $0.07/1M input tokens delivers 80–90% of frontier quality at under 3% of GPT-4o's price — the best value ratio available in 2026.
Gemini Flash and GPT-4o Mini are strong alternatives if you're already in those ecosystems, both under $0.20/1M input with OpenAI-compatible APIs.
All three budget APIs are accessible via no-code tools (Zapier, Make.com) — you don't need to write a single line of code to use them in automations.
Choose DeepSeek V3 when cost is the primary constraint and your use case is writing, summarisation, classification, or light coding — it's the cheapest capable model available.
Choose Gemini Flash if you want Google's infrastructure and ecosystem reliability at near-identical pricing — $0.075/1M input, backed by Google Cloud.
Choose GPT-4o Mini if you're already on OpenAI and want a cheap drop-in replacement — same API, same SDK, no migration needed.
Use the controls to see how the recommendation changes when your workflow shifts toward quality, cost, speed, or long-context work.
Google / Budget / May 11, 2026
Best cheap AI for broad day-to-day work — now with 1M context.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need premium reasoning depth or the highest coding benchmark scores.
One of the cheapest models in the directory at $0.10/1M input
Multimodal — handles images alongside text at this price point
Fast and efficient for simple, well-defined tasks
Weak on complex reasoning, hard coding, and nuanced writing
Not suitable for tasks requiring deep context retention or multi-step logic
Strong backups depending on your budget, workload, and preferred tradeoffs.
Fast, low-cost model with a 1M token context window — the best budget default for teams running high prompt volumes.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Mistral Small 3.1 is the current top recommendation because it delivers the strongest mix of fit, output quality, and practical usefulness for this category.
Mistral Small 3.1 is the strongest lower-cost alternative when you want better value without dropping all the way down in usefulness.
Choose the top pick when you want the safest default. Choose an alternative when your priority shifts toward cost, speed, context window, or a more specialized workflow fit.
Mistral Small 3.1 is the cheapest strong alternative here if you want better value without dropping to a weak default.
Limited to simpler use cases compared to Codestral or DeepSeek V3
Llama 3.2 1B Instruct is Meta's smallest production language model, designed for lightweight text tasks with an extremely low cost footprint. It excels at simple instruction-following, text classification, and on-device or edge deployment scenarios.
Open-source frontier model from DeepSeek that matches GPT-4o class performance at a fraction of the cost — the most disruptive budget option for coding and general tasks.
Gemini 2.0 Flash Lite is Google's ultra-budget, high-speed model designed for high-volume, cost-sensitive applications. It sits below Gemini 2.0 Flash in capability but offers the lowest price point in the Gemini 2.0 family with a massive 1M token context window.