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Claude Sonnet vs Claude Opus — which Claude do you actually need?

Same family, two jobs. Claude Sonnet is the 2.5× cheaper workhorse ($2 / $10 vs $5 / $25 per 1M) that handles roughly 90% of coding and chat work. Claude Opus is the max-capability model — a few points higher on SWE-bench (88.6 vs 85.2) and the intelligence index, reserved for the hardest reasoning, architecture, and agentic tasks. Choose Sonnet for volume and cost; choose Opus for judgment on the tough cases. Both carry a 1M-token context.

§ 01 / VERDICT

Who wins, category by category.

Skip to decision tree →
Category Winner Margin
Agentic coding · SWE-bench Verified BClaude Opus Opus 88.6 vs Sonnet 85.2 — a real but narrow edge (llm-stats, Jul 2026)
Overall intelligence · AA Intelligence Index BClaude Opus Opus 56 vs Sonnet 53 on the composite index (Artificial Analysis v4.1)
Hardest reasoning · architecture, novel debugging BClaude Opus Opus is the model teams escalate to when Sonnet stalls
Everyday throughput · speed on routine work AClaude Sonnet Sonnet is the faster, higher-volume default for the 90% case
API input cost · per 1M tokens AClaude Sonnet $2 vs $5 — Sonnet is 2.5× cheaper on input
API output cost · per 1M tokens AClaude Sonnet $10 vs $25 — Sonnet is 2.5× cheaper on output
Cost efficiency · blended workload AClaude Sonnet Same 2.5× ratio on the blended per-1M figure — Sonnet wins on spend
Context window · API model ·Tie Both carry a 1M-token window at standard pricing
Consumer access · Claude plans AClaude Sonnet Sonnet 5 is the Free + Pro default; Opus needs Max for real usage
Best overall ·Depends Sonnet for volume, Opus for the hard cases — most teams run both
CHOOSE A · SONNET

If you want the cheaper workhorse for most work.

  • 2.5× cheaper — $2 / $10 per 1M undercuts Opus's $5 / $25 on both input and output
  • Default model — Sonnet 5 runs on the Free tier and on Pro ($20/mo), no Max needed
  • Coverage — handles roughly 90% of coding and chat tasks at 85.2 on SWE-bench Verified
  • Speed — the higher-throughput choice for agents that loop many times
  • Same context — carries the full 1M-token window Opus has
CHOOSE B · OPUS

If you need maximum capability on the hard cases.

  • Top coding — 88.6 on SWE-bench Verified, above Sonnet's 85.2 and most rivals
  • Deepest reasoning — the model to escalate to for architecture, novel algorithms, and security review
  • Index lead — 56 vs 53 on the Artificial Analysis Intelligence Index
  • Fast mode — an optional $10 / $50 fast tier for latency-sensitive agentic runs
  • Judgment — pairs well as the reviewer over Sonnet's first-pass drafts
§ 02 / PRICING

What it actually costs.

Cost calculator →
Aspect Claude Sonnet Claude Opus
API · inputper 1M tokens · from snapshot verified Jun 30 $2.00 A wins $5.00
API · outputper 1M tokens · from snapshot verified Jun 30 $10.0 A wins $25.0
Cached inputPrompt-cache read $/1M · from snapshot verified Jun 30 $0.20 A wins $0.50
Effective API costBlended workload $/1M · from snapshot verified Jun 30 $1.28 A wins $3.41
API context windowMax input tokens · from snapshot even verified Jun 30 1M 1M
Real cost / 1M charsTokenizer-adjusted prose — same Anthropic tokenizer both sides est. verified Jun 30 $0.77 A wins $1.92
Consumer plansWhere each model lives in Claude subscriptions verified Jul 12 Free + Pro $20/mo Sonnet 5 is the default model on the Free tier and on Pro ($17/mo billed annually, $20 monthly) A wins Max $100–200/mo Opus is metered with tight caps on Pro; full usage arrives on Max 5× ($100) and Max 20× ($200)
§ 03 / FEATURES

Feature-by-feature, side by side.

Download CSV →
Capability Claude Sonnet Claude Opus
API context window 1M tokens 1M tokens
Positioning Balanced workhorse Frontier / max capability
Agentic coding (SWE-bench Verified) 85.2% 88.6%
Intelligence Index (AA v4.1) 53 56
Relative throughput / speed ✓ Faster default ~ Slower, deeper
Vision input
Extended thinking ✓ Deeper budget
Prompt caching ✓ $0.20/M read ✓ $0.50/M read
Batch API (50% off) ✓ $1 / $5 ✓ $2.50 / $12.50
Fast mode tier ✓ $10 / $50
Tool use / agents
MCP support ✓ Native ✓ Native
Free-tier availability ✓ Default model ✗ Paid plans only
Pro plan access ✓ Default ~ Tight usage caps
Cloud availability API, Bedrock, Vertex, Foundry API, Bedrock, Vertex, Foundry
§ 04 / BENCHMARKS

The numbers, not the spin.

Agentic coding · SWE-bench Verified
Claude Sonnet
85.2%
Claude Opus
88.6%
llm-stats.com · % resolved · Claude Sonnet 5 vs Claude Opus 4.8 · Jul 2026
Overall intelligence · AA Intelligence Index
Claude Sonnet
53.0%
Claude Opus
56.0%
Artificial Analysis Intelligence Index v4.1 · composite (GPQA, SWE, Terminal-Bench, HLE...) · Jul 2026
§ 05 / DEEP DIVE

What each does best.

Brand hubs →
A · ANTHROPIC

Claude Sonnet

The default Claude — cheap enough to run everywhere, capable enough for roughly 90% of real coding and chat work.

Strengths

  • Cost — $2 / $10 per 1M is 2.5× cheaper than Opus on both input and output
  • Reach — the default model on the Free tier and on Pro, so no Max subscription is required
  • Coding — 85.2 on SWE-bench Verified clears most rivals despite the lower price
  • Throughput — faster responses make it the better fit for high-volume agent loops
  • Same context — a full 1M-token window, identical to Opus

Weaknesses

  • A few points behind Opus on SWE-bench and the intelligence index
  • Less reliable on the hardest architecture, novel-algorithm, and security-review tasks
  • No dedicated fast-mode price tier

Best for

  • High-volume coding agents and CI loops
  • Cost-capped startups shipping on the API
  • Everyday chat, drafting, and summarisation
  • The first pass in a Sonnet-writes / Opus-reviews pipeline
B · ANTHROPIC

Claude Opus

The escalation model — the highest Claude scores on coding and reasoning, for the cases where being right matters more than the bill.

Strengths

  • Top coding — 88.6 on SWE-bench Verified, ahead of Sonnet and most competitors
  • Reasoning — leads Sonnet on the Artificial Analysis Intelligence Index (56 vs 53)
  • Judgment — the model teams reach for on architecture, hard debugging, and security review
  • Fast mode — an optional $10 / $50 tier for latency-sensitive agentic runs
  • Same context — a full 1M-token window at standard pricing

Weaknesses

  • 2.5× more expensive than Sonnet on every token
  • Slower and overkill for routine work — easy to overspend
  • Gated behind Max for real consumer usage; Pro caps are tight
  • Only a few points ahead of Sonnet on the neutral benchmarks

Best for

  • Architecture design and novel-algorithm work
  • The hardest debugging and security analysis
  • The reviewer step over Sonnet's drafts
  • One-off tasks where a wrong answer is expensive
§ 06 / SCENARIOS

Picked by scenario.

More scenarios →
01

High-volume coding agent in CI

You run an autonomous agent that writes patches and reruns tests hundreds of times a day, where token spend scales with every loop.

Reasoning: Sonnet 5 lands 85.2 on SWE-bench Verified at 2.5× lower cost, so most of the loop runs cheaply and fast. Reserve Opus for the handful of tasks Sonnet can't close on its own. At scale, across thousands of daily calls, the 2.5× cost gap dwarfs the few-point capability gap.

Picked
Claude Sonnet
Runner-up: Opus for the small share of tasks that stall
02

Architecting a new system from scratch

You're designing a distributed system with novel constraints where one wrong structural decision costs weeks of rework.

Reasoning: This is the case Opus is built for — deepest reasoning, the highest SWE-bench and intelligence-index scores, and stronger judgment on open-ended design. The token premium is trivial next to the cost of a bad architecture. Use Opus here.

Picked
Claude Opus
Runner-up: Sonnet once the design is settled and it's execution work
03

Cost-capped startup shipping on the API

You're a small team with a fixed monthly API budget and output tokens dominate your bill.

Reasoning: Sonnet is 2.5× cheaper on both input and output, so the same budget buys ~2.5× the volume at 85.2 SWE-bench quality. Route only the genuinely hard requests to Opus. For unit economics, Sonnet is the default.

Picked
Claude Sonnet
Runner-up: Opus selectively via a per-request quality router
04

Two-model write-then-review pipeline

You want Sonnet to draft code fast, then a stronger model to review the risky parts before merge.

Reasoning: The economical pattern is Sonnet as the high-volume author and Opus as the selective reviewer on security-sensitive or complex diffs. Most tokens run on cheap Sonnet; Opus touches only what needs its judgment. Sonnet carries the pipeline.

Picked
Claude Sonnet
Runner-up: Opus as the reviewer step on the risky changes
05

Claude Pro subscriber deciding what to run

You pay $20/mo for Pro and want the best model your plan gives you without upgrading.

Reasoning: Sonnet 5 is Pro's default and covers almost everything; Opus is available on Pro but with tight caps you'll hit fast on any real session. Unless your work is consistently at the frontier, Sonnet is the practical pick — and burning your limited Opus quota on routine prompts wastes it. Upgrade to Max only once you regularly need heavy Opus and are hitting its Pro ceiling.

Picked
Claude Sonnet
Runner-up: Opus via Max if you need heavy frontier usage

Frequently asked.

Common questions about this comparison, with sources where they matter.

Q · 01 Is Claude Sonnet or Opus better? +
It depends on the task. Opus 4.8 is the more capable model — 88.6 vs 85.2 on SWE-bench Verified and 56 vs 53 on the Artificial Analysis Intelligence Index — so it wins on the hardest reasoning, architecture, and agentic work. Sonnet 5 wins on cost and speed, handling roughly 90% of coding and chat work at 2.5× lower price. Most teams default to Sonnet and escalate to Opus.
Q · 02 Is Opus worth 2.5× the price of Sonnet? +
Only for the tasks that need it. Opus costs $5 / $25 per 1M vs Sonnet's $2 / $10, yet the neutral-benchmark gap is a few points, not a tier. For high-volume or routine work, Sonnet gives you far more output per dollar. Pay the Opus premium selectively — architecture, novel algorithms, security review — not by default. Model your own split in the LLM API cost calculator.
Q · 03 Can I use both Sonnet and Opus together? +
Yes, and it's the common pattern. Run Sonnet as the high-volume author for first-pass code and drafts, then route only the risky or complex parts to Opus as the reviewer. On the API a simple router (LiteLLM, OpenRouter) can pick per request; both share a 1M-token context, so hand-offs keep full history.
Q · 04 The benchmark gap looks small — does it matter? +
On aggregate leaderboards the gap is narrow (a few points on SWE-bench and the intelligence index), but it concentrates on the hardest cases — the ones where Sonnet stalls and Opus closes the task. Averages hide this: a 3-point resolve-rate difference can mean Opus clears a class of bugs Sonnet retries on indefinitely. For everyday work you likely won't notice a difference; for frontier problems the margin is where Opus earns its price. Treat Opus as escalation, not a blanket upgrade, and let the failure rate on your own tasks — not the leaderboard — decide when to switch.
Q · 05 Which is better for coding? +
For raw capability, Opus — 88.6 on SWE-bench Verified vs Sonnet's 85.2. But Sonnet clears 85% at 2.5× lower cost and higher throughput, which usually wins for agent loops and CI where you run thousands of calls. Default to Sonnet, escalate hard tasks to Opus. If you're comparing coding assistants more broadly, see Claude Code vs Cursor.
Q · 06 Do they differ on privacy or non-English use? +
No — both are Anthropic models under the same data-handling terms: API traffic isn't used to train models by default, and both are strongly multilingual with the same 1M-token context. The choice between them is about capability and cost, not privacy or language. For consumer plans, review Anthropic's data settings for training opt-outs.