Pricing

Cheapest AI API in 2026: Complete Pricing Guide

April 15, 2026 · 8 min read

AI API pricing varies wildly — from $0.01 per million tokens to $75 per million tokens. Choosing the right model for your budget can save you thousands. Here's a complete pricing guide for 2026.

Price Tiers (per million tokens via AIPower)

Tier 1: Nearly Free (< $0.10/M)

ModelInputOutputBest For
GLM-4 Flash$0.01$0.01Testing, high-volume, prototyping
Doubao Pro 256K$0.06$0.11General chat, 256K context
Qwen Turbo$0.08$0.30Budget tasks, 128K context

Tier 2: Affordable ($0.10–$3.00/M)

ModelInputOutputBest For
Qwen Plus$0.13$1.80Strong reasoning, multilingual
GPT-4o Mini$0.17$0.69Everyday tasks
DeepSeek V3$0.32$0.48Coding, chat (most popular)
DeepSeek R1$0.32$0.48Math, logic, reasoning
Gemini 2.5 Flash$0.35$2.88Vision, 1M context, fast

Tier 3: Premium ($1.00+/M)

ModelInputOutputBest For
Gemini 2.5 Pro$1.44$11.501M context, reasoning
GPT-5$2.88$17.25Latest flagship
Claude Sonnet 4$3.45$17.25Best for code
Claude Opus 4.6$7.50$37.50Most powerful overall

Cost Optimization Tips

  1. Use smart routing: Set model="auto-cheap" to automatically route to the cheapest model
  2. Match model to task: Don't use GPT-5 for simple classification — Qwen Turbo at $0.08/M is 47x cheaper
  3. Use GLM-4 Flash for testing: At $0.01/M, it's practically free for development
  4. Chinese models for production: DeepSeek V3 matches GPT-4o quality at 10x less cost

Start with 10 free API calls at aipower.me. No credit card required.

GET STARTED WITH AIPOWER

16 AI models. One API. OpenAI SDK compatible.

Who should use AIPower?

  • • Developers needing both Chinese and Western AI models
  • • Chinese teams that can't access OpenAI / Anthropic directly
  • • Startups wanting multi-model redundancy through one API
  • • Anyone tired of paying grey-market intermediary premiums

3 steps to first API call

  1. Sign up — email only, 10 free trial calls, no card
  2. Copy your API key from the dashboard
  3. Change base_url in your OpenAI SDK → done
from openai import OpenAI

client = OpenAI(
    base_url="https://api.aipower.me/v1",  # ← only change
    api_key="sk-your-aipower-key",
)

response = client.chat.completions.create(
    model="auto-cheap",   # or anthropic/claude-opus, deepseek/deepseek-chat, openai/gpt-5, etc.
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

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