AI Model Pricing
Input and output costs per 1M tokens for every major OpenAI, Anthropic, and Google Gemini model. Updated April 2026.
Google Gemini
Gemini 3.1 Pro
Google's latest flagship — 2M token context, strong on reasoning, code, and multimodal tasks
Gemini 2.5 Pro
Previous Gemini flagship — 1M token context, widely deployed in production
Gemini 2.5 Flash
Fast and cost-efficient — the go-to Gemini model for production at scale
Gemini 2.0 Flash
Google's budget option — cheapest Gemini model for simple, high-volume tasks
Anthropic
Claude Opus 4.6
Anthropic's most intelligent model — best for complex agents, coding, and reasoning tasks
Claude Sonnet 4.6
Optimal balance of intelligence, cost, and speed — Anthropic's go-to for most production workloads
Claude Haiku 4.5
Fastest and most cost-efficient Claude model — ideal for high-volume, latency-sensitive tasks
Claude Opus 4.1
Legacy high-capability Opus model — available for workloads already built around it
Claude Sonnet 4
Previous Sonnet generation — still widely used in production
Claude Haiku 3
Cheapest Claude model — great value for simple tasks that don't need the latest generation
OpenAI
GPT-5.4
OpenAI's most capable model for professional work — strongest reasoning and coding
GPT-5.4 mini
Strongest mini model yet — strong on coding, computer use, and subagents
GPT-5.4 nano
Cheapest GPT-5.4-class model — built for simple, high-volume tasks
GPT-4.1
Previous OpenAI flagship — still strong on coding, reasoning, and instruction following
GPT-4.1 mini
Lightweight GPT-4.1 — a solid default for most production workloads
GPT-4o
Multimodal model with vision — text, images, and audio in one API
GPT-4o mini
Fastest and cheapest GPT-4o variant — good for high-volume, latency-sensitive tasks
o3
OpenAI's reasoning model — slower and pricier, but significantly better at multi-step logic
o4-mini
Compact reasoning model — cheaper than o3, still much stronger than GPT-4o on logic tasks
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