Models
186 models with live API prices, independent benchmarks and real usage. Filter by what you're building and see your monthly cost.
Prices tracked from the official pages of
Compare AI models
Pick a use case, set your volume, and compare quality against what you'll actually pay.
Build software
Create media
Run in production
Chatbots & support: Conversational assistants, customer support and everyday Q&A.
Every token-priced card shows its cost for this workload.
Based on Artificial Analysis scores and your workload estimate
Top performer
Highest Intelligence score among the models in view.
Best value
Most Intelligence per dollar — about 20× cheaper than the top performer.
Budget pick
Cheapest model that still scores above the median on Intelligence.
55 models · sorted by best fit
Intelligence
54.5
top 8%
Web design
1314 Elo
#9 of 172
UI components
1342 Elo
#8 of 157
Input
$2
Cached input
$0.10
Output
$10
per 1M tokens · Standard
29× the cheapest in view
Intelligence
54.2
top 10%
Web design
1321 Elo
#7 of 172
UI components
1375 Elo
#4 of 157
Input
$2
Cached input
$0.10
Output
$10
per 1M tokens · Standard
29× the cheapest in view
Intelligence
51
top 16%
Input
$1
Cached input
$0.05
Output
$5
per 1M tokens · Standard
15× the cheapest in view
Intelligence
36.2
top 37%
Web design
1262 Elo
#39 of 172
UI components
1278 Elo
#27 of 157
Input
$0.10
Cached input
$0.01
Output
$0.50
per 1M tokens · Standard · for prompts up to 100,000 tokens
1.5× the cheapest in view
Our most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows.
Intelligence
30.5
top 49%
Coding
76.3
top 9%
Agentic
40.2
top 28%
Input
$0.75
Cached input
$0.075
Output
$3.75
per 1M tokens · Standard
11× the cheapest in view
Intelligence
27.8
top 62%
Input
$0.10
Cached input
$0.01
Output
$0.50
per 1M tokens · Standard
1.5× the cheapest in view
Intelligence
20.1
top 77%
Coding
68.1
top 28%
Agentic
45.8
top 19%
Input
$0.80
Cached input
—
Output
$4
per 1M tokens · Standard
14× the cheapest in view
A cost-efficient model, optimized for high-volume agentic tasks, translation, and simple data processing.
Intelligence
11.7
top 92%
Coding
49.3
top 51%
Agentic
14.3
top 64%
Input
$0.30
Cached input
$0.03
Output
$2.50
per 1M tokens · Standard
6.2× the cheapest in view
Intelligence
4.3
top 100%
Coding
26.6
top 73%
Agentic
1.2
top 85%
Input
$0.15
Cached input
—
Output
$0.60
per 1M tokens · Standard
2.3× the cheapest in view
Input
$0.15
Cached input
$0.03
Output
$0.50
per 1M tokens · Standard
1.8× the cheapest in view
Coding
30.4
top 70%
Agentic
3.7
top 75%
Web design
966 Elo
#160 of 172
Input
$0.15
Cached input
—
Output
$0.60
per 1M tokens · Standard
2.3× the cheapest in view
Web design
1300 Elo
#16 of 172
UI components
1302 Elo
#18 of 157
Input
$0.30
Cached input
$0.006
Output
$1.20
per 1M tokens · Standard
3.9× the cheapest in view
Input
$0.30
Cached input
$0.007
Output
$1.20
per 1M tokens · Standard
3.9× the cheapest in view
Our first hybrid reasoning model which supports a 1M token context window and has thinking budgets.
Web design
1113 Elo
#127 of 172
UI components
1087 Elo
#121 of 157
Input
$0.30
Cached input
$0.03
Output
$2.50
per 1M tokens · Standard
6.2× the cheapest in view
Our legacy Flash model, providing baseline speed and intelligence.
Web design
1194 Elo
#74 of 172
Input
$0.50
Cached input
$0.05
Output
$3
per 1M tokens · Standard
8.3× the cheapest in view
Our previous generation Flash model, balancing speed and multimodal capabilities across general agentic and everyday tasks.
Coding
69.2
top 25%
Agentic
29
top 42%
Web design
1300 Elo
#17 of 172
Input
$0.75
Cached input
$0.075
Output
$3.75
per 1M tokens · Standard
11× the cheapest in view
Coding
42.2
Agentic
15.5
Web design
1194 Elo
#75 of 172
Input
$1.25
Cached input
$0.20
Output
$2.50
per 1M tokens · Standard · < 200k prompt tokens
12× the cheapest in view
Input
$1.25
Cached input
$0.20
Output
$2.50
per 1M tokens · Standard · < 200k prompt tokens
12× the cheapest in view
Input
$1.25
Cached input
$0.20
Output
$2.50
per 1M tokens · Standard · < 200k prompt tokens
12× the cheapest in view
Input
$1.25
Cached input
$0.20
Output
$2.50
per 1M tokens · Standard · < 200k prompt tokens
12× the cheapest in view
Coding
49.4
top 50%
Web design
1185 Elo
#83 of 172
UI components
1161 Elo
#83 of 157
Input
$1.25
Cached input
$0.125
Output
$10
per 1M tokens · Standard
25× the cheapest in view
Coding
37.8
top 64%
Web design
1183 Elo
#84 of 172
UI components
1174 Elo
#77 of 157
Input
$1.25
Cached input
$0.125
Output
$10
per 1M tokens · Standard
25× the cheapest in view
Input
$1.25
Cached input
$0.125
Output
$10
per 1M tokens · Standard
25× the cheapest in view
Coding
46.9
Agentic
7
Input
$1.50
Cached input
—
Output
$7.50
per 1M tokens · Standard
26× the cheapest in view
Not sure where to begin?
What you want to build, how much you code and your budget: you'll get the exact tools and the model to use.
Step 1 of 3
AI 101
No jargon. Read this once and every page on AgentCost will make sense.
The “brain”. You send it text (or images, audio) and it sends back an answer. GPT, Claude, Gemini and DeepSeek are model families.
“Summarize this email” → a summary.
A model plus tools and a loop: it plans, takes actions (edit files, browse, call APIs), checks results and keeps going until the task is done.
“Add a login page” → it writes code, runs it, fixes errors.
How your app talks to a model. You pay per use instead of a monthly seat, which is why your volume decides the bill.
Your support page sends each question to the model's API.
The unit models are billed in — roughly ¾ of a word. Prices are “per 1M tokens”, with input (what you send) and output (what it writes) priced separately.
A 750-word article ≈ 1,000 tokens.
How much the model can read at once — its short-term memory. Bigger windows fit whole codebases or long documents in one request.
1M tokens ≈ several novels at once.
A standardized test that scores models on the same tasks, so you can compare quality fairly instead of trusting marketing.
Coding Index: how well a model solves real coding tasks.
You want an answer, text or a classification
→ A model
Call its API, or chat with it
You want a task done end-to-end
→ An agent
Use a ready agent or build one with a framework
You don't code and want a working app
→ An app-builder agent
Describe it, iterate by chatting
You want to cut cost
→ A smaller model
Use the “Best value” sort and test on real data
Usage trends
Real token volume across apps routed through OpenRouter (2026-10-29 – 2026-10-29). Not a survey — what production traffic is choosing right now.
Tokens processed in the latest ranking window.
The tools developers build with every day.
Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.
There are many coding agents, but this one is yours.
A coding agent that helps you build and ship with AI
Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains, and CLI to help developers ship code faster with agentic workflows.
OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.
Methodology
Straight from each provider's official pricing page, re-checked every few hours. Every model's “All prices” panel links the exact page it came from. If a page changes and our reader breaks, we keep showing the last verified prices and mark the provider below.
We don't run benchmarks and never make up numbers. Intelligence, Coding and Agentic scores are Artificial Analysis's independent indexes; web and UI design scores are Design Arena's crowd-voted Elo ratings; “most used” ranks are real token volume from OpenRouter. Each is linked below.
From the models currently in view: the top performer has the highest score on the benchmark that fits your use case; best value has the most score per dollar among above-median models; the budget pick is the cheapest model that still scores above the median. Change filters or your workload and the picks update.
A model's position in its own provider's lineup, read from the model family (Opus/Sonnet/Haiku, Pro/Flash/Lite, -mini…) and its price. It's a quick orientation aid — for actual quality, use the benchmark scores.
Your monthly input and output tokens × the model's per-million-token prices, with the cached share of input charged at the cache-read rate. It excludes tool fees, search grounding, images and taxes — always confirm on the provider's page before committing budget.
No. It's independent and free to use. No provider pays for placement or rankings.
Independent Intelligence, Coding and Agentic indexes
Crowd-voted Elo for websites, UI components and other design tasks
Real token usage across apps routed through OpenRouter
Community
Every testimonial is verified by hand before it's published.
Reach the developer
Spotted a wrong price, want a provider added, or have an idea that would make this more useful for your team? Partnerships and collaborations are welcome too.
Your story could be first here.
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