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개요
Knowing what separates the tiers (price, latency, thinking defaults, and lifecycle dates) lets teams pick the cheapest model that still passes their own tests.
주요 시사점
- Anthropic introduced the Haiku, Sonnet and Opus tier names with the Claude 3 family on March 4, 2024.
- A tier name marks a position in one generation's lineup, so a newer Sonnet can outperform an older Opus.
- As of October 2026, Opus 5.5 costs $4 per million input tokens and $20 per million output tokens, Sonnet 5.5 costs $2 and $10.
- Anthropic's model guide says tuning the effort parameter is often a better lever than switching to a different model.
- Claude Fable 5.1 sits above Opus for demanding long-horizon work, while Mythos 5.1 is limited to verified organizations.
- Anthropic gives at least 60 days' notice before retiring publicly released models and lists every retirement date in its documentation.
심층 분석
Claude is the family of large language models built by Anthropic, a US AI company. Instead of shipping one model per generation, Anthropic ships several sizes under poetic names. Haiku is the smallest and fastest, Sonnet sits in the middle, and Opus is the largest of the original three. A tier name describes a position in the lineup, not a fixed level of ability: a new Sonnet can beat an older Opus, and every tier changes with each generation. The version number, such as 3.5, 4.5 or 5.5, tells you the generation, and the tier name tells you the size and price point within it.
The naming scheme arrived with the Claude 3 family on March 4, 2024. Anthropic's announcement ordered the three models by capability and gave each a role: Haiku for near-instant responses, Sonnet for balancing intelligence and speed in enterprise workloads, and Opus for the most complex tasks. Launch prices made the gap concrete. Opus cost $15 per million input tokens and $75 per million output tokens, Sonnet $3 and $15, and Haiku $0.25 and $1.25, all with a 200,000-token context window. A token is a chunk of text, roughly three quarters of an English word, and providers bill by the million.
The tiers quickly showed that names do not lock in rank. On June 21, 2024, Anthropic released Claude 3.5 Sonnet at the mid-tier price of $3 and $15 and reported that it ran twice as fast as Claude 3 Opus while outperforming it on a range of evaluations. In an internal agentic coding test it solved 64% of problems against 38% for Claude 3 Opus. Claude 4, released May 22, 2025, kept the Opus price at $15 and $75 and reported SWE-bench Verified scores (a benchmark of real GitHub issues) of 72.5% for Opus 4 and 72.7% for Sonnet 4 without extended thinking. The two tiers were close on that benchmark even though Opus cost five times more. Claude Opus 4.5, published November 24, 2025, cut the Opus price to $5 and $25 and introduced an effort parameter.
The effort parameter changed how the tiers are used. It lets a developer ask one model to think less, for speed and cost, or more, for harder problems. Anthropic's current model-selection guide says tuning effort is often a better lever than switching models. Thinking itself also changed: newer models use adaptive thinking, where the model decides how much internal reasoning to do, steered by effort, rather than a fixed thinking budget set by the caller. On the current lineup, Opus 5.5 and Haiku 5.5 default to medium effort and Sonnet 5.5 and Fable 5.1 default to high.
As of October 2026, Anthropic's models overview lists four generally available current models. Claude Fable 5.1 is described as for demanding reasoning and long-horizon agentic work, at $10 input and $50 output per million tokens. Claude Opus 5.5 is for long-running agentic coding and knowledge work at $4 and $20. Claude Sonnet 5.5 is called the best combination of speed and intelligence at $2 and $10. Claude Haiku 5.5 targets high-volume, latency-sensitive tasks such as classification, extraction and routing, from $0.10 and $0.50. All four accept text and image input, support tool use, have a 1 million token context window and up to 128,000 output tokens, and list a reliable knowledge cutoff of June 2026. A separate model, Claude Mythos 5.1, offers the same capabilities as Fable 5.1 only to organizations verified through Anthropic programs such as its Cyber Verification Program.
Picking a tier is an engineering decision, not a brand preference. Anthropic's guide describes two starting strategies. Efficiency-first starts with Haiku, tests thoroughly, and upgrades only where a capability gap appears; it suits prototypes, tight latency budgets and high-volume simple work. Capability-first starts with Opus, tunes prompts, then lowers effort or moves work to cheaper models once the workflow is understood; it suits complex reasoning, science and high-autonomy agents. Either way, the guide says a task-specific evaluation set is the most important step. Many production systems combine tiers: a cheap model handles most calls and escalates hard decisions to a frontier model.
The tier system has real limitations. Names are relative, so 'Opus' in a 2024 article and 'Opus' in 2026 are different models with different prices and behavior. Benchmarks published by the vendor use the vendor's settings, and close scores on one benchmark, as with Opus 4 and Sonnet 4 on SWE-bench Verified, can hide large differences on other tasks. Higher tiers are slower; the overview labels Haiku fastest and Fable slower. Model behavior also shifts between versions, so prompts tuned for one model may need retuning, which is why Anthropic publishes migration guides with breaking changes.
The practical costs go beyond the per-token price. Batch requests are 50% cheaper, and prompt cache reads cost a fraction of base input, 5% on Opus 5.5 and Sonnet 5.5. Models also have lifecycles: Anthropic labels them active, legacy, deprecated or retired, gives at least 60 days' notice before retiring publicly released models, and lists each retirement on its deprecations page. Claude 3 Opus, for example, was deprecated June 30, 2025 and retired January 5, 2026. Teams that pin a model ID should track those dates, keep their evaluation suite ready, and budget time to retest when they move to a new tier or generation.
04실제 사례
Choosing the cheapest Claude tier that passes your tests
Collect 50 to 200 real requests from your application with the answers you would accept, and write a simple pass or fail check for each.
Run the set on Claude Haiku 5.5 at its default medium effort and record the pass rate, average latency and token counts.
Run the same set on Claude Sonnet 5.5 and Claude Opus 5.5, keeping prompts identical so differences come from the model.
Compute cost per request for each run as input tokens times input price plus output tokens times output price, divided by one million.
Re-run the best-scoring cheaper model at a higher effort setting and check whether it closes the gap with the larger tier.
Pick the cheapest configuration that meets your pass-rate target and note its retirement date from the deprecations page.
그것이 보여주는 것
A table of pass rate, latency and cost per request for each tier and effort level, plus a chosen model ID with its retirement date. Check the choice by re-running the evaluation on a held-out batch of requests before switching production traffic.
실제 구현
A support team routes ticket classification and tag extraction to Claude Haiku 5.5, which Anthropic lists from $0.10 per million input tokens, and sends only escalated conversations to a larger model.
A coding-agent product defaults to Claude Opus 5.5, which Anthropic's docs describe as built for long-running agentic coding, and lowers the effort setting on routine edits to cut latency and spend.
A data team runs Claude Sonnet 5.5 for everyday code generation and analysis because the model guide places it at the best combination of speed and intelligence, at $2 input and $10 output per million tokens.
A research group running hours-long multistep investigations moves to Claude Fable 5.1 only after its evaluations on Opus 5.5 at the highest effort levels still fall short, following Anthropic's own selection advice.
An engineering team audits its Console usage export to find calls to claude-sonnet-4-5-20250929, which Anthropic deprecated on September 30, 2026 with a November 30, 2026 retirement date.
An orchestrator pattern uses a frontier model to plan and review while cheaper worker models handle bulk subtasks, so most tokens are billed at the lower rate, as described in Anthropic's model-selection guide.
Anthropic Claude Opus 및 Sonnet 계층의 미래
The tier structure itself has shifted. For two years the lineup was Haiku, Sonnet and Opus; by 2026 Anthropic's documentation places Fable above Opus for open access and Mythos for verified organizations, and recommends Opus 5.5, not the top tier, as the default starting point for most workloads. That suggests tiers are increasingly defined by workload type (high-volume routing, everyday coding, long-horizon agents) rather than a single ladder of intelligence. Several questions remain open. Effort settings blur the boundary between tiers, since a smaller model at high effort can overlap a larger model at low effort, and public guidance on where those curves cross is limited to Anthropic's own measured examples. Multi-model designs that pair a cheap executor with a frontier advisor are documented by Anthropic but depend heavily on each team's evaluation data. Lifecycle is another live issue: Anthropic's deprecation page acknowledges that retiring models costs researchers access and introduces safety and model-welfare risks, and states a commitment to long-term preservation of model weights. Readers should treat any specific price, benchmark or recommended default as a snapshot dated to the page that reports it, and recheck the official overview before building on it.
실천에 옮기기
왜 중요한가요?
- 벤더 전략. 공급업체 로드맵은 팀이 다음에 구축할 수 있는 기능에 영향을 미칩니다.
- 비용 및 예산. 상업적 조건과 배포 옵션은 장기적인 비용과 위험에 영향을 미칩니다.
- 위험과 안전. 회사 인센티브는 제품 기본값, 안전 태세 및 개방성을 형성합니다.
조심하세요
- 출시 발표는 실제 생산 워크플로의 안정성보다 앞설 수 있습니다.
- API 가격 책정이나 정책 변경으로 인해 하룻밤 사이에 가정이 깨질 수 있습니다.
- 단일 공급업체 종속성은 종속 및 마이그레이션 비용을 증가시킵니다.
다음 단계
- 자체 작업과 데이터 세트를 사용하여 공급자를 평가합니다.
- 통합하기 전에 개인정보 보호, 보안, 법적 약관을 검토하세요.
- 모델이나 공급업체 전반에 걸쳐 대체 계획을 유지합니다.
- 로드맵 변경으로 인해 팀이 놀라지 않도록 릴리스 노트를 모니터링하세요.
출처 및 추가 자료
- Anthropic (Claude Platform docs)Models overview
- Anthropic (Claude Platform docs)Choosing the right model
- Anthropic (Claude Platform docs)Model deprecations
- AnthropicIntroducing the next generation of Claude
- AnthropicClaude 3.5 Sonnet
- AnthropicIntroducing Claude 4
- AnthropicIntroducing Claude Opus 4.5
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자주 묻는 질문
What is Anthropic Claude Opus and Sonnet Tiers?
Anthropic sells each Claude generation in named tiers: Haiku for speed and low cost, Sonnet as the balanced middle, and Opus for harder, longer work, with Fable and Mythos added above Opus in 2026. Knowing what separates the tiers (price, latency, thinking defaults, and lifecycle dates) lets teams pick the cheapest model that still passes their own tests.
What naming theme do Haiku, Sonnet, and Opus draw from?
Haiku and sonnet are poetic forms, while opus is a term for a musical work or composition.
Within Anthropic’s Haiku, Sonnet, and Opus tiers, how is Opus positioned?
Anthropic positions Opus for complex work among these three tiers; its broader current portfolio also includes additional model families such as Fable.
What approach did Anthropic’s 2022 Constitutional AI paper describe for training a harmless assistant?
The 2022 paper describes Constitutional AI as a research method that uses written principles to guide self-critiques and AI feedback; this does not describe every current Claude training stage.
How does Anthropic position Sonnet among the Claude tiers?
Current Anthropic model documentation describes Sonnet as the balance of speed and intelligence; exact rankings depend on version.
What does Claude’s extended-thinking mode do when supported?
Anthropic documents extended thinking as additional reasoning computation for complex tasks; support and controls vary by model.