Claude Opus 5 vs Claude Sonnet 5 Comparison

A step change at the Opus tier: the most durable model for long-running agentic tasks

VS
Claude Sonnet 5

Quality close to Opus 4.8, 2.5x cheaper — the default model for everyday workflows

17 min readAI

Quick Verdict

There's no clean single-model winner, but there is a clear rule: give specification-clear complex code, migrations, and hard verification work to Opus 5; leave discovery, file scanning, translation, and high-volume mechanical work to Sonnet 5. Don't reverse the order, either — Anthropic's official recommendation is to adjust effort before switching models. Try Sonnet 5 at high effort first; upgrade to Opus 5 only if the result isn't reliable or the task needs multi-turn self-verification.

Claude Opus 5Claude Sonnet 5
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Score Comparison

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Detailed Scoring

Detailed Scoring: Claude Opus 5 and Claude Sonnet 5 — category-by-category scores out of 10
CategoryClaude Opus 5Claude Sonnet 5
Performance
10/10
8/10
Ease of Learning
7/10
8/10
Ecosystem
8/10
8/10
Community
7/10
8/10
Job Market
8/10
9/10
Future-Proof
9/10
8/10

Pros & Cons

Claude Opus 5

Pros

  • Beats Opus 4.8's Frontier-Bench performance by more than 2x, at a lower cost
  • On CursorBench at max effort, trails Fable 5's peak score by only 0.5% — at half the cost
  • The default model on the Claude Max plan, and the strongest option on Claude Pro
  • Fast mode (research preview) can boost output speed by up to 2.5x
  • Knowledge cutoff of May 2026 — 4 months more recent than Sonnet 5
  • A significant improvement in verifying its own work and iterating carefully until it succeeds

Cons

  • Input/output pricing is exactly 2.5x Sonnet 5's ($5/$25 vs $2/$10)
  • Prompt-cache reads are also 2.5x more expensive ($0.50 vs $0.20/MTok)
  • Still trails Mythos 5 on cybersecurity tasks
  • Latency classification is 'Moderate' — feels slower than Sonnet 5's 'Fast' class
  • In the Claude Code CLI, if the model isn't specified for subagent delegation, it can inherit the (expensive) main session's model
  • Fast mode is only available as a research preview, with premium pricing

Best For

Specification-clear, multi-file complex code (migrations, architectural refactors)Long-running agentic tasks — multi-step work that needs to verify itselfHard verification/judge tasks (adversarial code review, security audits)The strongest general-purpose single-model choice on Claude Max/ProWork that needs a final decision and synthesis before risky/irreversible steps

Claude Sonnet 5

Pros

  • Performance close to Opus 4.8 but at a much lower price ($2/$10 vs $5/$25)
  • The $2/$10 price is now the permanent standard — the planned $3/$15 increase was officially cancelled
  • Latency classification is 'Fast' — feels quicker than Opus 5's 'Moderate' class
  • A lower rate of unwanted behavior compared to Sonnet 4.6
  • The default model for Free and Pro plans at launch, also available on Max/Team/Enterprise
  • 1M-token context window and 128K output limit — the same upper bounds as Opus 5
  • Prompt-cache cost sits at about 40% of Opus 5's — a significant reduction in total cost for high-volume/repetitive work

Cons

  • Trails Opus 5 on the toughest benchmarks like Frontier-Bench/CursorBench
  • Noticeably weaker than current Opus models on cybersecurity tasks
  • Doesn't support fast mode (2.5x speed boost) — that feature is Opus 5/4.8 only
  • Knowledge cutoff of January 2026 — 4 months older than Opus 5
  • Not as durable as Opus 5 on multi-step, long agentic tasks that require self-verification

Best For

Discovery, file scanning, code inventory workTranslation/i18n batch jobs, mechanical edits, routine refactorsPR review, writing tests, everyday code generation — work with a 'clear finish line'High-volume/repetitive subagent delegation (a quality-per-cost advantage)A general-purpose everyday assistant for Free/Pro plan users

Code Comparison

Claude Opus 5
// TypeScript — a specification-clear, hard verification task with Opus 5
import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });

async function runMigrationReview(diff: string) {
  const response = await client.messages.create({
    model: "claude-opus-5",
    max_tokens: 4096,
    // Thinking is already on in Opus 5; you steer its depth via
    // `output_config.effort` — "high" is the default, written explicitly here.
    output_config: { effort: "high" },
    messages: [
      {
        role: "user",
        content: `Review this Prisma migration diff adversarially:
try to disprove it on data-loss risk, irreversible
steps, and missing rollback scenarios.\n\n${diff}`,
      },
    ],
  });

  return response.content;
}

// In the Claude Code CLI, write the model explicitly when delegating:
// Agent({ prompt: "...", model: "claude-opus-5" })
Claude Sonnet 5
// TypeScript — high-volume discovery/mechanical work with Sonnet 5
import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });

async function translateBatch(entries: string[]) {
  // For "clear finish-line" work like translation/i18n and file scanning,
  // Sonnet 5 delivers quality close to Opus 4.8 at 2.5x lower cost.
  const results = await Promise.all(
    entries.map((text) =>
      client.messages.create({
        model: "claude-sonnet-5",
        max_tokens: 1024,
        // Low effort = fewer tokens, faster response.
        output_config: { effort: "low" },
        messages: [
          {
            role: "user",
            content: `Translate this i18n key from TR to EN, preserve the tone:\n${text}`,
          },
        ],
      })
    )
  );

  return results.map((r) => r.content);
}

// In the Claude Code CLI, a subagent with no model specified inherits
// the main session's model — write the model explicitly for discovery work:
// Agent({ prompt: "scan the src/ directory", model: "claude-sonnet-5" })

Conclusion

There's no clean single-model winner, but there is a clear rule: give specification-clear complex code, migrations, and hard verification work to Opus 5; leave discovery, file scanning, translation, and high-volume mechanical work to Sonnet 5. Don't reverse the order, either — Anthropic's official recommendation is to adjust effort before switching models. Try Sonnet 5 at high effort first; upgrade to Opus 5 only if the result isn't reliable or the task needs multi-turn self-verification.

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FAQ

Frequently Asked Questions

Use Opus 5 for specification-clear, complex, long-running agentic tasks (multi-file refactors, migrations, hard verification); use Sonnet 5 for discovery, file scanning, translation, mechanical edits, and high-volume routine work. Anthropic's official positioning backs this split: Opus 5 stands out for long-agent durability, while Sonnet 5 offers a speed and cost advantage. Rather than a hard rule, try Sonnet 5 at high effort first; move to Opus 5 if it falls short.

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