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Comparison builder

Compare AI models, coding agents, and tools.

Enter a real workload to compare monthly model cost, or compare coding tools by subscription price, workflow, access, and rollout needs.

Model comparisonsPricing, limits, and workload cost API provider routesSame model across hosting platforms Coding-agent comparisonsWorkflow, access, and rollout fit Team cost comparisonsPlans, seats, and subscription spend

Popular provider decision: Compare OpenAI vs Anthropic API pricing, workload cost, and provider tradeoffs.

Common decisions

Start with the model choice you need to make

Choose a familiar provider pair, a same-family routing decision, or a lower-cost option for high-volume traffic.

Popular model comparisons

Recognizable provider choices

Same-family comparisons

Choose a routing tier

Low-cost comparisons

Check high-volume API cost

Coding-agent decisions

Compare popular coding agents

Start with current agent decisions, or browse every coding-agent comparison.

Commercial terminal and cloud agents

Codex vs Claude Code

Codex spans local, IDE, app, and cloud task surfaces; Claude Code centers a Claude-powered terminal workflow. The practical choice depends on execution surface, existing plan access, and how the team governs agent actions.

Compare agents Current OpenAI and Google terminal agents

Codex vs Antigravity CLI

Codex combines local and cloud development surfaces in the OpenAI ecosystem; Antigravity CLI is Google's current terminal agent and the migration destination for Gemini CLI users.

Compare agents Terminal-agent workflow comparison

Claude Code vs Antigravity CLI

Claude Code offers a Claude-centered terminal workflow; Antigravity CLI connects terminal work to Google's newer multi-agent platform. Existing model and cloud commitments are likely to matter more than headline feature lists.

Compare agents Agent platform versus AI-first editor

Codex vs Cursor

Codex is a coding-agent system across local, IDE, app, and cloud surfaces; Cursor is an AI-first editor with agent workflows inside a dedicated development environment.

Compare agents Coding agent versus GitHub-centered assistant

Codex vs GitHub Copilot

Codex focuses on delegated coding work across local and cloud environments; GitHub Copilot combines IDE assistance with a GitHub-centered cloud coding agent and organization rollout paths.

Compare agents Terminal agent versus GitHub-centered platform

Claude Code vs GitHub Copilot

Claude Code emphasizes a Claude-centered terminal agent; GitHub Copilot spans IDE assistance and repository-native cloud delegation. The choice changes both developer interaction and administration.

Compare agents
Team cost comparisons

Compare coding tool subscription cost

Change developer count and plans, or browse the team cost collection.

Editable team scenario

Cursor vs GitHub Copilot

Compare Cursor Teams seats versus GitHub Copilot Pro individual subscriptions.

Compare team cost Editable team scenario

Cursor vs Windsurf

Compare two AI-first editor team plans with different pricing structures.

Compare team cost Editable team scenario

GitHub Copilot vs Tabnine

Compare mainstream IDE assistance versus an annual-commitment governance-oriented platform.

Compare team cost Editable team scenario

Claude Code vs Cursor

Compare individual Claude Code access versus Cursor Individual Pro subscriptions.

Compare team cost Editable team scenario

Windsurf vs GitHub Copilot

Compare an AI-first editor team plan versus higher-usage Copilot individual subscriptions.

Compare team cost

Compare models

Workload settings

Advanced settings

Comparison result

Choose two options and run a comparison.

View detailed comparison
DimensionOption AOption B
Methodology

What the monthly estimate includes

The estimate uses the checked standard pricing profile for each selected model and the workload you enter. It excludes charges that are not represented in the model data, including images, tools, storage, regional processing, and provider-specific extras.

Decision boundary: a lower estimate is not a quality result. Test task accuracy, latency, retries, and output length before changing production traffic.

Guides

Popular comparison guides

Use the builder for quick side-by-side checks, then open a guide for page-specific notes and source context.

LLM and provider comparisons

  • OpenAI vs Anthropic - Compare source-tracked OpenAI and Anthropic API pricing, example workload cost, and provider tradeoffs without assuming equal model quality.
  • OpenAI vs Gemini - OpenAI has broad ecosystem coverage; Gemini can be attractive for Google-centric stacks with tracked tiers for Pro, Flash, and Flash-Lite.
  • Anthropic vs Gemini - Anthropic and Gemini now both have tracked pricing fields for selected current models, but their cache, modality, and tier rules differ.
  • OpenAI vs DeepSeek - OpenAI has broader platform maturity; DeepSeek has tracked cache-miss and cache-hit pricing that may fit cost-sensitive routing tests.
  • Claude vs GPT-4o - Claude is often evaluated for long-context coding; GPT-4o is a broad multimodal default.
  • GPT-4o mini vs Claude Haiku - Both are lower-cost options, but GPT-4o mini has lower tracked verified prices while Haiku may fit Claude-centered workflows.

Coding-tool comparisons

  • Cursor vs GitHub Copilot - Cursor is an AI-first editor; Copilot is often easier for broad team rollout inside existing IDEs.
  • Cursor vs Windsurf - Both are AI-first coding environments; compare workflow fit, limits, and current plan details.
  • GitHub Copilot vs Tabnine - Copilot is a common default for GitHub teams; Tabnine is often evaluated for IDE and privacy posture.
  • Claude Code vs Cursor - Claude Code centers on Claude-powered coding workflows; Cursor is a full AI-first editor experience.
Model cost guides

Compare specific AI models

Start with selected model decisions, or browse all model comparisons by intent.

OpenAI vs Google

GPT-4o mini vs Gemini 2.5 Flash-Lite

low-cost, high-volume API routing

Compare pricing OpenAI vs OpenAI

GPT-4o mini vs GPT-4o

routing routine and complex OpenAI requests

Compare pricing Anthropic vs Google

Claude Haiku 4.5 vs Gemini 2.5 Flash-Lite

high-volume support routing

Compare pricing Anthropic vs Google

Claude Sonnet 4.6 vs Gemini 2.5 Pro

long-document analysis

Compare pricing Google vs Google

Gemini 2.5 Flash vs Gemini 2.5 Flash-Lite

routing within the Gemini family

Compare pricing Google vs Google

Gemini 2.5 Pro vs Gemini 2.5 Flash

quality-sensitive and routine Gemini requests

Compare pricing DeepSeek vs DeepSeek

deepseek-v4-pro vs DeepSeek V4 Flash non-thinking

high-volume DeepSeek processing

Compare pricing Anthropic vs Anthropic

Claude Fable 5 vs Claude Opus 4.8

migration and fallback planning across Anthropic premium tiers

Compare pricing OpenAI vs DeepSeek

GPT-4o mini vs DeepSeek V4 Flash non-thinking

low-cost structured extraction

Compare pricing
FAQ

Questions about model and tool comparisons

How does the AI model comparison calculate cost?

It multiplies your input tokens, output tokens, and monthly requests by the checked pricing profile for each selected model. Cached-input savings apply only when a cached rate is available and you enter a cache-hit percentage.

Can I compare coding-tool subscriptions and API models?

Yes, but they are separate tabs because API models use token workload pricing while coding tools use plan and product-fit fields.

Does the comparison include cached-input pricing?

Only when a selected model has tracked cached-input pricing and you enter a cache-hit percentage. The default is 0% cache hits.

Why are some fields unavailable?

A field stays unavailable when the current provider evidence does not support a reliable value. The comparison does not substitute a guess.

Does lower cost mean better model quality?

No. Lower cost is only one signal. Test quality, latency, retries, output length, and workflow fit before routing production traffic.