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AI Model Comparison Guide

You open the model picker and see five options. Each has different strengths, context windows, and price points. This guide tells you which model to use for which task, when to switch, and how much it costs.

  • A clear default model recommendation for each tool
  • Decision criteria for when to switch models
  • Pricing breakdowns per request type
  • A model routing strategy you can use immediately
TaskRecommended ModelWhy
Complex coding (default)Claude Opus 4.6Top SWE-Bench scores, best agentic performance
Everyday coding (budget)Claude Sonnet 4.5Excellent quality at one-fifth the cost
All Codex tasksGPT-5.4Default model across all Codex and ChatGPT surfaces
Bug fixing, UI work (Cursor)GPT-5.2Specialized for bug fixes and frontend
Speed-critical (Cursor)Cursor Composer 2Frontier coding model, MoE architecture
Large codebase (>200K tokens)GPT-5.4, Gemini 3 Pro, or Sonnet 4.51M token context windows
Multimodal (images, video)Gemini 3 ProBest image/video analysis
Architecture and designClaude Opus 4.6Deepest reasoning capabilities
ModelProviderContextOutput LimitSWE-BenchInput $/1MOutput $/1MSpeed
Claude Opus 4.6Anthropic200K64KBest$5$25Standard
Claude Sonnet 4.5Anthropic1M64KStrong$3$15Standard
GPT-5.4OpenAI1M57.7% Pro$2.50$10Standard
GPT-5.2OpenAI200K+77.9%$1.25$10Standard
Cursor Composer 2Cursor200K61.7 T-Bench$0.50$2.50Fast
Gemini 3 ProGoogle1MGood$2$12Standard

The default recommendation for complex coding tasks.

  • Released: February 2026
  • Context window: 200K tokens with 64K output limit
  • Key strength: Top SWE-Bench scores, best agentic performance across hundreds of tools
  • Available in: Claude Code (default), Cursor (model picker), Anthropic API

When to use: Architecture decisions, complex debugging, multi-step autonomous tasks, security audits, system design. This is your default model — start here and only switch when you have a specific reason.

Pricing: $5 / $25 per 1M tokens (input/output). Effort parameter allows adjustable reasoning depth for cost control.

The budget-conscious workhorse with a massive context window.

  • Released: September 2025
  • Context window: 1M tokens (5x larger than Opus 4.6)
  • Key strength: Excellent coding at one-fifth the cost. Best value per token.
  • Available in: Claude Code, Cursor, Anthropic API

When to use: Everyday coding tasks, when budget matters, when you need more than 200K tokens of context (large codebase analysis), or when Opus 4.6 quota is exhausted.

Pricing: $3 / $15 per 1M tokens (input/output).

The default model across all Codex and ChatGPT surfaces.

  • Released: March 2026
  • Context window: Up to 1M tokens
  • Key strength: First general-purpose model with native computer-use capabilities (75% OSWorld). Incorporates GPT-5.3-Codex coding abilities plus improved tool use.
  • Available in: Codex App, Codex CLI, Codex IDE, Codex Cloud, ChatGPT, API
  • Benchmarks: 57.7% SWE-bench Pro, 75% OSWorld, 83% GDPval

When to use: All Codex workflows — this is the new default. Also strong for tasks involving computer use, spreadsheets, presentations, and documents. GPT-5.4 Pro variant available for maximum performance.

Pricing: $2.50 / $10 per 1M tokens (input/output). Also available via Codex subscription plans.

Bug fixing and UI generation specialist.

  • Released: November 2025
  • Context window: 200K+ tokens with compaction for extended tasks
  • SWE-Bench: 77.9%
  • Key strength: Specialized for bug identification and frontend work. 24+ hour task endurance.
  • Available in: Cursor, GitHub Copilot

When to use: Targeted bug fixing, UI component generation, frontend-heavy features. Available in Cursor’s model picker for specialized tasks.

Pricing: $1.25 / $10 per 1M tokens (input/output).

Best multimodal model with extreme context.

  • Released: November 2025
  • Context window: 1M tokens
  • Key strength: Best image, audio, and video analysis. Deep Think mode for complex reasoning.
  • Available in: Cursor (model picker), direct API

When to use: Tasks requiring more than 200K tokens of context, multimodal analysis (diagrams, screenshots, video walkthroughs), or when you need Deep Think reasoning mode.

Pricing: $2 / $12 per 1M tokens (input/output).

Frontier coding model built in-house by Cursor.

  • Released: March 2026
  • Architecture: Mixture-of-Experts (MoE) built on Kimi K2.5, enhanced with Cursor’s RL training
  • Context window: 200K tokens
  • Benchmarks: 61.3 CursorBench, 61.7 Terminal-Bench 2.0, 73.7 SWE-bench Multilingual
  • Available in: Cursor only

When to use: Fast local iteration in Cursor. Optimized for multi-file edits, code generation, refactoring, and long task chains. Beats Claude Opus 4.6 on Terminal-Bench 2.0 while costing a fraction of the price.

Pricing: $0.50 / $2.50 per 1M tokens (standard), $1.50 / $7.50 (fast variant with same intelligence).

Use this decision tree for day-to-day work:

  1. Start with your tool’s default: Opus 4.6 for Claude Code, GPT-5.4 for Codex
  2. Need speed in Cursor? Switch to Composer 2
  3. Need budget savings? Switch to Composer 2 or Sonnet 4.5
  4. Context exceeds 200K? Use GPT-5.4, Sonnet 4.5, or Gemini 3 Pro (1M context)
  5. Bug fixing or UI in Cursor? Consider GPT-5.2
  6. Need multimodal analysis? Gemini 3 Pro
  7. Everything else? Stay with the default
Request TypeOpus 4.6Sonnet 4.5GPT-5.2Gemini 3 Pro
Simple completion (1K tokens)~$0.03~$0.02~$0.01~$0.01
Standard refactor (10K tokens)~$0.30~$0.18~$0.11~$0.14
Large analysis (50K tokens)~$1.50~$0.90~$0.55~$0.65
Complex architecture (100K tokens)~$3.00~$1.80~$1.10~$1.30
PlanPriceModels IncludedBest For
Pro$20/monthAll models, ~500 fast requestsEveryday development
Ultra$200/monthAll models, ~10K requestsPower users

Model switching is free within your plan. You pay per request, not per model choice.

CategoryOpus 4.6Sonnet 4.5GPT-5.4GPT-5.2Gemini 3 ProComposer 2
SWE-BenchBestStrong57.7% Pro77.9%Good73.7 Multi
Code generationExcellentVery goodVery goodGoodGoodVery good
Bug detectionExcellentVery goodVery goodExcellentGoodGood
ArchitectureExcellentVery goodGoodFairGoodFair
Computer useNoNo75% OSWorldNoNoNo
Context window200K1M1M200K+1M200K
Cost efficiencyPremiumBest valueGood valueBudgetGood valueCheapest
  1. Identify your primary tool: Cursor, Claude Code, or Codex

  2. Start with the default model: Opus 4.6 (Claude Code), GPT-5.4 (Codex), or best available (Cursor)

  3. Evaluate task complexity: Simple tasks do not need the most expensive model

  4. Check context requirements: Files exceeding 200K tokens need Sonnet 4.5 or Gemini 3 Pro

  5. Consider budget: Track with /cost (Claude Code), Settings > Usage (Cursor), or Codex dashboard

  6. Adjust as needed: Switch models based on task, not habit

  1. Default to the best model for tasks that matter — architecture, security review, complex debugging
  2. Downgrade for routine work — simple fixes, boilerplate, formatting do not need Opus 4.6
  3. Use speed models for iteration — Composer 2 in Cursor for rapid trial-and-error cycles
  4. Monitor costs weekly — Track which models provide the best ROI for your workflow
  5. Stay updated — Model capabilities and pricing change frequently. Check the Updates page