Which Claude Model Should You Use?

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Claude Model Comparison: Sonnet vs Opus vs Haiku (April 2026)

Anthropic offers three distinct Claude model tiers, each engineered for different development scenarios. Choosing the right one saves money and improves output quality. Here is a side-by-side look at the current lineup.

Feature Haiku 4.5 Sonnet 4.6 Opus 4.6
Input price $0.80 / 1M tokens $3 / 1M tokens $15 / 1M tokens
Output price $4 / 1M tokens $15 / 1M tokens $75 / 1M tokens
Context window 200K tokens 200K tokens 200K tokens
Speed (tokens/sec) Very fast Fast Moderate
Code quality Good Excellent Best-in-class
Complex reasoning Basic Strong State of the art
Best for Autocomplete, quick lookups, test gen Daily coding, features, bug fixes Architecture, refactoring, system design

Pricing is based on Anthropic's published API rates as of April 2026. If you use Claude Code via the Max subscription ($100/month or $200/month), token costs are bundled into your plan, but model selection still affects response speed and quality.

When to Use Each Model

Haiku 4.5 — The Speed Specialist

Haiku is Anthropic's fastest and most affordable model. It excels at tasks that require rapid iteration: autocomplete suggestions, quick file lookups, generating boilerplate tests, and answering simple factual questions about your codebase. If your workflow involves hundreds of small prompts per day, Haiku keeps costs below $5/month for most solo developers. The tradeoff is reduced reasoning depth. Haiku can miss subtle bugs in complex logic and may struggle with multi-file refactoring that requires understanding architectural patterns. Use it for volume, not for depth.

Sonnet 4.6 — The Everyday Workhorse

Sonnet sits in the sweet spot for most Claude Code users. It handles feature implementation, bug fixes, code review, and test writing with high accuracy and at a reasonable cost. Most teams find that Sonnet covers 80-90% of their daily development needs without breaking the budget. Sonnet 4.6 introduced meaningful improvements over 4.5 in multi-step reasoning and adherence to project conventions specified in CLAUDE.md. It reads and follows style guides, understands framework-specific patterns, and produces code that generally fits into existing codebases without heavy editing. For teams spending $20-60/month per developer, Sonnet delivers the best value.

Opus 4.6 — The Deep Thinker

Opus is the most capable model in the Claude lineup and commands a premium price. It shines in scenarios that demand deep reasoning: designing system architecture from scratch, refactoring tangled legacy code, debugging race conditions, and writing complex algorithms. The quality difference between Opus and Sonnet becomes apparent when tasks exceed 200 lines of interconnected code or require reasoning across more than five files simultaneously. Enterprise teams use Opus for architecture reviews and security audits where missing a subtle issue has outsized consequences. For cost-conscious developers, the best strategy is to use Sonnet for daily work and switch to Opus only when a task genuinely requires its reasoning depth.

Frequently Asked Questions

Is Opus worth the extra cost?
For routine coding tasks, no. Sonnet handles the vast majority of feature work and bug fixes at one-fifth the cost. Opus becomes worth it for architecture decisions, complex refactoring across many files, and debugging subtle concurrency or security issues. Most teams save money by defaulting to Sonnet and switching to Opus selectively for high-stakes tasks.
Can I mix models in one project?
Yes, and you should. In your CLAUDE.md file, you can specify which model to use for different task types. For example, set Sonnet as your default, use Haiku for autocomplete and quick lookups, and switch to Opus for architecture reviews. Claude Code's /model command lets you switch models mid-session without losing context.
Which model is fastest?
Haiku 4.5 is the fastest by a significant margin, typically 2-3x faster than Sonnet for output generation. Sonnet 4.6 is fast enough for interactive coding sessions. Opus is noticeably slower, especially on long outputs, which is why it is best reserved for tasks where thoroughness matters more than speed.
Which model is cheapest?
Haiku 4.5 at $1 per million input tokens and $5 per million output tokens. A solo developer doing light work can stay under $5/month with Haiku. Sonnet costs roughly 3x more per token, and Opus costs 5x more than Haiku for input. However, cheap tokens that produce wrong code cost more in debugging time, so consider quality alongside raw price.
What changed from Sonnet 4.5 to 4.6?
Sonnet 4.6 brought improved multi-step reasoning, better adherence to CLAUDE.md instructions, more reliable tool use (fewer hallucinated file paths), and stronger performance on long-context tasks. It also improved at understanding framework conventions and producing code that matches existing project style. For Claude Code users, the upgrade is meaningful for daily productivity.
How do I switch models in Claude Code?
Use the /model slash command within any Claude Code session to switch models instantly. You can also set a default model in your CLAUDE.md file by adding a "Model Configuration" section. When using the API directly, specify the model ID in your request: claude-sonnet-4-6-20260401, claude-opus-4-6-20260401, or claude-haiku-4-5-20241022.
Do all models have the same context window?
Yes, all three current models support a 200K token context window. The difference lies in how effectively each model utilizes that context. Opus tends to maintain better recall across the full window, while Haiku may lose accuracy on details placed early in very long contexts. For codebases exceeding 100K tokens, Sonnet or Opus will generally give more reliable answers about the full codebase.
Should I use extended thinking with any model?
Extended thinking is most valuable with Opus for complex architectural decisions and multi-file refactoring. It adds latency and cost but can catch issues that standard responses miss. With Sonnet, extended thinking helps for moderately complex tasks but offers diminishing returns compared to Opus. Haiku does not benefit meaningfully from extended thinking and the added cost is rarely justified.

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