Claude Opus 5 vs Sonnet 5

Claude Opus 5 and Sonnet 5 both launched in July 2026, and Anthropic has since released Claude Opus 5.5 and Claude Sonnet 5.5; Claude Sonnet 5.5 vs Claude Opus 5.5 covers the newer pair. They share a 1M-token context window and the same compliance stack, but they're designed for different priorities. Opus 5 is built for complex reasoning and long-running agents, while Sonnet 5 delivers fast, capable performance at a lower price.

This page compares the trade-offs that matter most to business buyers, including pricing, coding performance, agent workflows, and batch processing. By the end, you'll know which model to use as your default, and when it makes sense to upgrade.

Claude Opus 5 vs. Claude Sonnet 5: Side-by-Side

Are you one of these vendors? Update your listing

Price: Opus 5 Costs 2.5 Times as Much as Sonnet 5

Claude Opus 5 costs $5 per million input tokens and $25 per million output tokens. Sonnet 5 costs $2 input and $10 output, and Anthropic withdrew the increase to $3 and $15 that was planned for September 2026.

Sonnet 5 is 60% cheaper than Opus 5 on both input and output. That gap matters most for high-volume workflows where output tokens dominate the bill.

Both models support prompt caching. On cache-heavy workloads, input costs drop sharply for either model. Factor in your output-to-input ratio before picking on price alone.

• Opus 5: $5 input / $25 output per million tokens
• Sonnet 5: $2 input / $10 output per million tokens; the planned increase to $3 / $15 was withdrawn
• Opus 5 costs 2.5 times as much as Sonnet 5 on both input and output
• Prompt caching lowers input costs on both models
• Estimate your monthly spend with our AI Model Cost Calculator

→ Compare per-token pricing for every AI model

Speed vs Depth: The Core Trade-off

Sonnet 5 is faster than Opus 5 on most tasks. It returns responses quicker and handles high-throughput workloads well. For chat, drafting, and quick code generation, speed wins.

Opus 5 trades speed for deeper reasoning. It excels on multi-step problems where getting the first answer wrong costs more than waiting a few extra seconds. Adaptive thinking lets Opus 5 scale its reasoning effort to match task difficulty.

The practical test is simple. If your team notices latency, try Sonnet 5. If your team notices errors on hard problems, try Opus 5.

Coding: Both Are Strong, Opus 5 Pulls Ahead on Complexity

Both models handle everyday coding tasks well. Sonnet 5 writes clean code quickly and handles most refactors, bug fixes, and feature builds without trouble.

Opus 5 pulls ahead on complex multi-file refactors and long agentic coding sessions. It holds more context in its reasoning and makes fewer errors on tasks that span many files or require deep architectural understanding.

For teams using Claude Code, Opus 5 is the default engine for professional workflows. Sonnet 5 works well for shorter coding sessions and rapid iteration.

• Sonnet 5: fast code generation, quick iteration, handles most tasks well
• Opus 5: complex refactors, multi-file reasoning, long agent sessions
• Both share a 1M-token context window for large codebases
• Claude Code uses Opus 5 for professional workflows by default

Agent Workflows: Opus 5 Is Built for Long-running Tasks

Opus 5 is designed for long-running agents and professional workflows. It maintains coherence over many steps and recovers from errors better than Sonnet 5 on extended tasks.

Sonnet 5 works for shorter agent loops. A five-step workflow with clear instructions runs fine on Sonnet 5. A twenty-step research task with ambiguous inputs is safer on Opus 5.

The cost difference matters here. Agent workflows burn through tokens fast. A long Opus 5 session can cost 2 to 3 times more than the same session on Sonnet 5. Weigh accuracy gains against spend.

Cost Analysis for Teams: Monthly Spend Comparison

A team processing 100M output tokens per month spends $2,500 on Opus 5 or $1,000 on Sonnet 5. That is a $1,500 monthly difference, or $18,000 per year.

Most teams do not need Opus 5 for every request. A smart routing strategy sends only the hardest 15 to 20 percent of tasks to Opus 5. The rest goes to Sonnet 5. This cuts the Opus spend by 80% while keeping quality high where it counts.

Batch processing offers further savings. Both models support batching. Combine batching with model routing for the lowest cost per quality unit.

• 100M output tokens/month: $2,500 on Opus 5 vs $1,000 on Sonnet 5
• Route by difficulty: send 80% of tasks to Sonnet 5, hardest 20% to Opus 5
• Batch processing reduces costs further on both models
• Sonnet 5 stays at $2/$10 because Anthropic withdrew the planned increase to $3/$15

→ Compare per-token pricing for every AI model

When to Choose Opus 5 vs Sonnet 5

Choose Sonnet 5 when speed and cost matter most. It fits fast iteration, high-volume drafting, chat interfaces, and routine code generation. At $2 input and $10 output, it costs 60% less than Opus 5.

Choose Opus 5 when accuracy on hard problems drives real value. It fits long-running agents, complex coding sessions, deep research, and tasks where a wrong answer costs more than a slower answer.

Use both for the best results. Route tasks by difficulty. Default to Sonnet 5 and escalate to Opus 5 only when the task demands it. Most teams find this split saves 50% or more versus running everything on Opus 5.

• Sonnet 5: fast iteration, chat, drafting, routine coding, cost-conscious teams
• Opus 5: long agents, hard reasoning, multi-file coding, unattended workflows
• Best practice: route by difficulty for cost and quality balance

How to Use Claude Opus 5 and Claude Sonnet 5

To use Claude Opus 5 and Claude Sonnet 5 effectively, start by choosing an interface that exposes the exact model you need for your workload. Test a new configuration on a single representative task, such as drafting a routine email or parsing a short document, before expanding to full automation. Inspect the saved output directly to confirm formatting, accuracy, and adherence to your prompt instructions.

For coding tasks, Cursor serves as an editor option when the target model appears on its supported list. Check current model availability before setup to confirm the exact model is listed. Once connected, save your prompts and review the generated diffs locally before applying changes to your main codebase.

The Verdict

Of the two, Sonnet 5 is the right default for most teams. It is fast, capable, and costs 60 percent less than Opus 5. For chat, drafting, quick coding, and supervised workflows, Sonnet 5 does the job well.

Opus 5 earns its premium on the hardest work. Long-running agents, complex multi-file coding, and deep research tasks benefit from its stronger reasoning and adaptive thinking. If your workflow runs unattended, the extra cost buys reliability.

The smartest setup uses both. Route routine work to Sonnet 5 and hard problems to Opus 5. Layer3 Labs can help you design that routing strategy and cut model spend without losing quality.