Loading…
The major large language models, with API prices per 1M tokens, context windows and whether the weights are open. Every figure comes from the provider's own docs or pricing page, checked 2026-10-15; where a provider doesn't publish a figure we leave it blank. Looking for apps and agents built on these models? See the AI agent directory.
Anthropic's model for demanding reasoning and long-horizon agentic work.
$10.00 in / $50.00 out per 1M tokens
Context: 1M tokens
Anthropic's recommended starting model, for long-running agentic coding and knowledge work.
$4.00 in / $20.00 out per 1M tokens
Context: 1M tokens
Anthropic's balance of speed and intelligence.
$2.00 in / $10.00 out per 1M tokens
Context: 1M tokens
Anthropic's fastest model, for high-volume, latency-sensitive tasks.
from $0.10 in / from $0.50 out per 1M tokens
Context: 1M tokens
Google's flagship reasoning model for complex software engineering, math and science, and autonomous agents.
$2.00 in / $10.00 out per 1M tokens
Google's most capable Flash model, for long-horizon software engineering and agents.
$0.75 in / $3.75 out per 1M tokens
Google's cost-efficient model for high-volume agentic tasks, translation and simple data processing.
$0.30 in / $2.50 out per 1M tokens
DeepSeek's larger API model, with thinking and non-thinking modes and OpenAI- and Anthropic-format APIs.
$1.32 in / $3.96 out per 1M tokens
Context: 1M tokens
DeepSeek's low-cost fast model, with vision, tool calls and thinking mode.
$0.30 in / $1.20 out per 1M tokens
Context: 1M tokens
Meta's model for frontier coding, long-running agents and advanced computer use, on the Meta Model API.
Price not published on the page we checked
Meta's open-weight Muse model, which Meta calls the most capable US open-weight model to date.
Price not published on the page we checked