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Home/Best Cheap AI API in 2026
Top recommendation

Best Cheap AI API in 2026

The cheapest capable AI API in October 2026 costs $0.10 per million input tokens: OpenAI's GPT-6 Luna and Anthropic's Claude Haiku 5.5 both charge $0.10/$0.50. Mistral Small 3.1 is cheaper on output at $0.10/$0.30 but is an older, smaller model. You do not need to be a developer to use any of them: tools like Zapier and Make.com connect to these APIs with no code at all. This page covers the best cheap options whether you are building a product, automating a workflow, or just want to understand what an API actually charges you for.

Last verified: October 2026

/Rankings refresh daily when model data changes
Rankings refresh dailyScored on 6 criteriaNo paid rankings
Best pick right now
OpenAIBudget

GPT-6 Luna

OpenAI's budget tier at half the old price.

View model
Cost in
$0.10/1M
Context
1.1M tokens
Speed
Very fast
Best overall
GPT-6 Luna
Best budget
Llama 3.2 1B Instruct
Best speed
Claude Haiku 5.5
Why it wins

GPT-6 Luna and Claude Haiku 5.5 put current models from the two biggest labs at $0.10 per million input tokens — a fortieth of the price of Claude Opus 5.5.

Both have long-prompt surcharges (Haiku above 100K input tokens, Luna above 272K), so keeping prompts short is the simplest way to control the bill.

All of these APIs work through no-code tools such as Zapier and Make.com, so you can use them in automations without writing code.

Decision notes

Choose GPT-6 Luna when you are already on OpenAI's SDK, need long prompts, or can use the Flex tier at $0.05/$0.25 for work that is not urgent.

Choose Claude Haiku 5.5 for tool calls, extraction and sub-agent steps, with reasoning switched off for simple requests.

Choose DeepSeek V4.1 Flash when you want open weights you can move to your own servers later; check the host's rate, which varies.

Interactive decision lab

Tune the best cheap ai api in 2026 ranking

Use the controls to see how the recommendation changes when your workflow shifts toward quality, cost, speed, or long-context work.

#1Claude Haiku 5.583 pts
#2GPT-6 Luna81 pts
#3Gemini 3.5 Flash-Lite81 pts
#4Gemini 3.1 Flash77 pts
#5Llama 3.2 1B Instruct32 pts
Quality first

Claude Haiku 5.5

Anthropic / Budget / Oct 10, 2026

83

Anthropic's budget model, now with adjustable reasoning, at $0.10/$0.50.

Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.

Cost
$0.10/1M
$0.50/1M out
Speed
Very fast
5/5 score
Context
1M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

Your prompts routinely exceed 100K tokens, where the price quintuples, or the task needs sustained reasoning that Sonnet 5.5 handles far better.

Strengths

$0.10/$0.50 per 1M — half of GPT-5.6 Luna's $0.20/$1.20

Flex tier at $0.05/$0.25 for batch-style work

Reasoning effort can be turned off entirely for the cheapest calls

Weaknesses

Artificial Analysis scores it 38 on its Intelligence Index, behind Claude Haiku 5.5 (43) and Gemini 3.8 Flash (41)

Prompts above 272K input tokens are billed at a higher rate

Ranked alternatives

Strong backups depending on your budget, workload, and preferred tradeoffs.

AnthropicBudget

Claude Haiku 5.5

Anthropic's October 7, 2026 low-cost model and the first Haiku with adjustable reasoning effort — thinking can be switched off for simple requests or raised to max, at $0.10/$0.50 per 1M under 100K input tokens.

Verdict
Anthropic's budget model, now with adjustable reasoning, at $0.10/$0.50.
Quality score
82%
Pricing
$0.10/1M in
$0.50/1M out
Speed
Very fast
5/5 speed
Context
1M tokens
Announced September 28, 2026 alongside Sonnet 5.5; generally available October 7, 2026. Gateway id anthropic/claude-haiku-5.5. Tiered pricing: $0.10/$0.50 per 1M up to 100K input tokens, $0.50/$2.50 above. 1,000,000 context, 128,000 max output. Launch figures as reported by Anthropic: Terminal-Bench 4.0 39.2 (max effort), 31.6 (extra), 12.8 (low); OSWorld 2.1 offline subset 72.4 (Haiku 4.5: 15.7). Verified October 10, 2026.
BudgetFastHigh volumeSub-agentsNew
Best for
High-volume tool use, sub-agents and everyday tasks on a tight budget
View model
GoogleBudget

Gemini 3.1 Flash

Fast, low-cost model with a 1M token context window — the best budget default for teams running high prompt volumes.

Verdict
Best cheap AI for broad day-to-day work — now with 1M context.
Quality score
75%
Pricing
$0.50/1M in
$3.00/1M out
Speed
Very fast
5/5 speed
Context
1M tokens
The default budget pick for startups watching cost. The 1M context at this price is unmatched.
Best budgetFast1M contextScalable
Best for
High-volume everyday AI usage where speed and cost both matter
View model
MetaBudget

Llama 3.2 1B Instruct

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.

Verdict
The go-to model when cost per token matters more than output quality.
Quality score
25%
Pricing
$0.03/1M in
$0.20/1M out
Speed
Very fast
5/5 speed
Context
60k tokens
Output cost of ~$0.20/1M tokens is notably higher relative to input cost — factor this in for verbose generation tasks. Best suited for inference pipelines where outputs are short and structured. Available via multiple inference providers due to open-weight licensing.
Ultra-budgetEdge-readyOpen-weightLightweightHigh-throughput
Best for
Ultra-low-cost text classification, simple Q&A, and high-volume automation pipelines where cost per token is critical.
View model
GoogleBudget

Gemini 3.5 Flash-Lite

Google's fastest and most cost-effective 3.5-generation model — low-latency, high-throughput agentic workflows at a fraction of Flash pricing.

Verdict
Fastest budget multimodal model — 350 tokens/sec at Lite pricing.
Quality score
79%
Pricing
$0.30/1M in
$2.50/1M out
Speed
Very fast
5/5 speed
Context
1.0M tokens
Released July 21, 2026. Batch pricing $0.15/$1.25; cached input $0.03/1M. Rolling out to Google Search.
BudgetVery fastMultimodal1M context
Best for
High-volume, latency-sensitive workloads at minimal cost
View model

How we evaluate AI models

UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.

Explore related decisions

Browse all modelsCompare pricingView GPT-6 LunaBest AI for WritingBest AI for Data AnalysisBest AI for Creative WritingBest AI for SEO

Side-by-side specs

List prices and published scores — the numbers this page's pick is built from.

ModelInputOutputEst. monthContextSpeedCodingWritingResearch
GPT-6 LunaOpenAI$0.10/1M$0.50/1M$2.001.1M tokensVery fast848280
Claude Haiku 5.5Anthropic$0.10/1M$0.50/1M$2.001M tokensVery fast868482
Gemini 3.1 FlashGoogle$0.50/1M$3.00/1M$111M tokensVery fast687576
Llama 3.2 1B InstructMeta$0.03/1M$0.20/1M$0.6760k tokensVery fast283222
Gemini 3.5 Flash-LiteGoogle$0.30/1M$2.50/1M$8.001.0M tokensVery fast787678

Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.

The case for each model

Why each one is on the shortlist for cheap AI API, what it is genuinely good at, and when we would steer you away from it.

GPT-6 Luna

Top pickOpenAI

Our pick for cheap AI API. It scores 97/100 on the budget axis we weight this page by, and nothing else in this shortlist matches it on output quality.

OpenAI's September 22, 2026 low-cost reasoning model, replacing GPT-5.6 Luna at $0.10/$0.50 per 1M — half the predecessor's price, with the same 1.05M context.

Input
$0.10/1M
Output
$0.50/1M
Context
1.1M tokens
Speed
Very fast

What people actually use it for

  • Summarization, extraction and tagging at very high volume
  • Routine steps inside agent pipelines where a Sol-tier model would be overkill
  • Cheap first-pass coding help that a stronger model reviews

Where it wins

  • $0.10/$0.50 per 1M — half of GPT-5.6 Luna's $0.20/$1.20
  • Flex tier at $0.05/$0.25 for batch-style work
  • Reasoning effort can be turned off entirely for the cheapest calls

Where it falls down

  • Artificial Analysis scores it 38 on its Intelligence Index, behind Claude Haiku 5.5 (43) and Gemini 3.8 Flash (41)
  • Prompts above 272K input tokens are billed at a higher rate

Skip it if

You are choosing a budget model from scratch — Claude Haiku 5.5 costs the same and scores higher on Artificial Analysis's index.

Our verdict

A cheaper Luna rather than a smarter one. At $0.10/$0.50 it matches Claude Haiku 5.5 on price, but independent scoring puts Haiku 5.5 slightly ahead; choose Luna when you are already on the OpenAI stack.

Full pricing, benchmark table and release notes on the GPT-6 Luna page.

Claude Haiku 5.5

Anthropic

The fastest model in this shortlist for cheap AI API. Pick it when turnaround is what your readers or users notice.

Anthropic's October 7, 2026 low-cost model and the first Haiku with adjustable reasoning effort — thinking can be switched off for simple requests or raised to max, at $0.10/$0.50 per 1M under 100K input tokens.

Input
$0.10/1M
Output
$0.50/1M
Context
1M tokens
Speed
Very fast

What people actually use it for

  • Sub-agents in a larger agent system, where dozens of cheap calls replace one expensive one
  • Classification, extraction and routing at volume with thinking turned off
  • Light coding help — Anthropic reports 39.2% on Terminal-Bench 4.0 at max effort

Where it wins

  • $0.10/$0.50 per 1M below 100K input tokens — a twentieth of Sonnet 5.5
  • Effort is adjustable from none to max, so one model covers both cheap lookups and harder steps
  • Anthropic reports OSWorld 2.1 (offline subset) rising from 15.7% on Haiku 4.5 to 72.4%

Where it falls down

  • Long prompts cost five times more: above 100K input tokens the rate becomes $0.50/$2.50
  • Effort matters a great deal: Terminal-Bench 4.0 is 12.8% at low effort against 39.2% at max

Skip it if

Your prompts routinely exceed 100K tokens, where the price quintuples, or the task needs sustained reasoning that Sonnet 5.5 handles far better.

Our verdict

The cheapest way to put an Anthropic model in a high-volume pipeline. Keep requests under 100K tokens to stay on the low rate, and set effort per task — at low effort it is a fast classifier, at max it handles real tool-use work.

Full pricing, benchmark table and release notes on the Claude Haiku 5.5 page.

Gemini 3.1 Flash

Google

Also worth a look for cheap AI API, at 97/100 on the budget axis.

Input
$0.50/1M
Output
$3.00/1M
Context
1M tokens
Speed
Very fast

Best cheap AI for broad day-to-day work — now with 1M context. Full Gemini 3.1 Flash review →

Llama 3.2 1B Instruct

Meta

Where most budgets should land for cheap AI API — about 62% less per token than GPT-6 Luna, and still 97/100 on the budget axis.

Input
$0.03/1M
Output
$0.20/1M
Context
60k tokens
Speed
Very fast

The go-to model when cost per token matters more than output quality. Full Llama 3.2 1B Instruct review →

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FAQ

What is the best AI for cheap AI API?

For cheap AI API, GPT-6 Luna (OpenAI) is our pick. OpenAI's budget tier at half the old price. It costs $0.1/1M input and $0.5/1M output tokens, with a 1.05M-token context window — enough headroom for all but the largest cheap AI API jobs. Claude Haiku 5.5 is the closest alternative if it doesn't fit your setup.

Why GPT-6 Luna for cheap AI API?

Because the work it is built for overlaps closely with cheap AI API: summarization, extraction and tagging at very high volume and routine steps inside agent pipelines where a Sol-tier model would be overkill. A cheaper Luna rather than a smarter one. At $0.10/$0.50 it matches Claude Haiku 5.5 on price, but independent scoring puts Haiku 5.5 slightly ahead; choose Luna when you are already on the OpenAI stack.

What does it cost to use GPT-6 Luna for cheap AI API?

On a moderate month — 10M input and 2M output tokens — GPT-6 Luna runs about $2.00 at list price, with no batch or caching discounts applied, so treat that as a ceiling. Llama 3.2 1B Instruct is the cheaper route at roughly $0.67 for the same volume, if cheap AI API is high-volume enough for price to lead the decision.

When is GPT-6 Luna the wrong choice for cheap AI API?

Artificial Analysis scores it 38 on its Intelligence Index, behind Claude Haiku 5.5 (43) and Gemini 3.8 Flash (41). Prompts above 272K input tokens are billed at a higher rate. Avoid it if you are choosing a budget model from scratch — Claude Haiku 5.5 costs the same and scores higher on Artificial Analysis's index. None of that rules it out for cheap AI API on its own — but if one of those limits maps onto how you actually work, take the alternative on this page seriously rather than defaulting to the top pick.

Is there a cheaper AI that still handles cheap AI API?

Llama 3.2 1B Instruct at $0.027/1M input is the budget option here. The go-to model when cost per token matters more than output quality. Expect a quality step down on the hardest cases — the usual pattern is to route routine cheap AI API volume to Llama 3.2 1B Instruct and keep GPT-6 Luna for the work where a wrong answer is expensive.

PLAIN ENGLISH

What is an AI API? (The 30-second version)

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.

Which path is right for you?

You don't need to write code to use AI APIs — pick your starting point

I WRITE CODE

Use the API directly

Call the model with any HTTP client or the OpenAI SDK. DeepSeek V3 is OpenAI-compatible — swap the base URL and you're done.

See developer quickstart

I USE ZAPIER / MAKE

Connect via automation tools

Zapier, Make.com, and n8n all support AI steps natively. Connect your AI model to emails, spreadsheets, Slack, or any of thousands of apps — no code required.

See no-code options

I JUST WANT A CHAT APP

Use a subscription instead

If you want to talk to an AI in a chat interface rather than build something, a $20/mo subscription (Claude Pro, ChatGPT Plus) is simpler and often cheaper than paying per token.

Compare $20/mo plans

What does it actually cost? Real task examples

Per-token pricing is confusing — here's what common tasks cost in dollars

TaskDeepSeek V3GPT-4o MiniGPT-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 →

Cheapest AI APIs by price — 2026

Input cost per 1M tokens · sorted lowest first · updated daily

ModelProviderInput /1MOutput /1MSpeedBest for
Llama 3.2 1B InstructCheapestMeta$0.027$0.200Very fastUltra-low-cost text classification, simple Q&A, and high-volume automation pipelines where cost per token is critical.
Mistral NemoMistral$0.029$0.030FastTeams needing a cheap, fast, multilingual workhorse for classification, summarization, or light coding tasks at scale.
Gemma 2 9BGoogle$0.030$0.090Very fastLightweight text tasks, classification, and summarization where cost matters more than frontier-level quality.
Llama 3.1 8B InstructMeta$0.050$0.080Very fastHigh-throughput applications where cost and speed matter more than frontier-level quality, such as chatbots, content classification, and text summarization.
GPT-5 NanoOpenAI$0.050$0.400Very fastHigh-volume, latency-sensitive applications like classification, autocomplete, summarization, and lightweight chat where cost-per-token matters most.
gpt-oss-safeguard-20bOpenAI$0.070$0.200FastAutomated content moderation pipelines and safety classification at scale.
Gemini 2.0 Flash LiteGoogle$0.075$0.300Very fastHigh-throughput, cost-sensitive pipelines where speed and price matter more than top-tier reasoning quality.
Mistral Small 3.2 24BMistral$0.075$0.200FastHigh-volume production workloads where cost matters but quality can't be sacrificed entirely — especially code generation and structured output tasks.
View full API pricing comparison for all models →

NO CODE REQUIRED

Use cheap AI APIs without writing code

These tools connect to the same underlying AI models — no programming needed

Zapier

Free tier (limited tasks/mo)

7,000+ app integrations. Native AI steps for OpenAI, Anthropic, and Google. Easiest starting point.

Connecting AI to email, CRMs, spreadsheets

Make.com

Free tier (1,000 ops/mo)

Visual workflow builder with AI modules. More powerful than Zapier for complex branching logic.

Multi-step workflows, data transformation

n8n

Free (self-hosted), paid cloud plan

Open-source, self-hostable. Has OpenAI and Anthropic nodes. Free to run on your own server.

Developers who want no-code + open source

Bubble

Free tier (limited features)

No-code app builder with API connector. Build a full web app that calls AI APIs without writing backend code.

Building user-facing AI-powered apps

DEVELOPER QUICKSTART

Call the cheapest AI API in 5 lines

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 tokens

PYTHON

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 tokens
DeepSeek API key Free to sign up, pay-as-you-goOpenAI API (GPT-4o Mini) $0.15/1M — same SDK, no base URL changeGoogle AI Studio (Gemini Flash) Free tier available, then $0.075/1M

Frequently asked questions about cheap AI APIs

What is an AI API, in plain English?

An 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.

What is the cheapest AI API available in 2026?

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.

Do I need to be a developer to use an AI API?

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.

How much does it actually cost to run 1,000 AI requests?

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.

Is DeepSeek safe to use for business data?

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.

What's the difference between an API and a subscription like ChatGPT Plus?

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.

Which cheap AI API is best for coding?

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.

Can I use these cheap APIs with Zapier or Make?

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.

Is there a free AI API tier?

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.

When should I upgrade from a cheap API to a premium one?

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.

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