Claude Fable 5 vs Claude Sonnet 5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Claude Fable 5 by Anthropic and Claude Sonnet 5 by Anthropic represent two of the frontier AI models analyzed in our comprehensive 2026 AI benchmark and LLM comparison. In this head-to-head evaluation, we examine API token pricing, context window specifications, inference speed (tokens per second), and empirical reasoning performance. From a pure economic perspective, Claude Sonnet 5 holds a notable pricing advantage for token ingestion. On output generation, Claude Sonnet 5 is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, both models provide an identical memory horizon with 1,000K tokens. In latency-sensitive production environments, Claude Sonnet 5 leads in tokens-per-second throughput, making it ideal for real-time conversational agents and high-concurrency workflows. Below is the complete empirical head-to-head breakdown across cost, speed, context, and capability matrices.
원하는 AI 모델 선택 및 실시간 비교
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Claude Fable 5
심층 추론 모델Anthropic의 Claude Fable 5 모델은 1M 토큰 컨텍스트 윈도우와 입력 $10/1M 토큰, 출력 $50/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.
$10.00 / 1M
$50.00 / 1M
1M tokens
76.5%
Claude Sonnet 5
심층 추론 모델Anthropic의 Claude Sonnet 5 모델은 1M 토큰 컨텍스트 윈도우와 입력 $3/1M 토큰, 출력 $15/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.
$3.00 / 1M
$15.00 / 1M
1M tokens
81.2%
한눈에 보는 핵심 차이점
- Claude Sonnet 5 is 3.3x cheaper for API usage (input + output tokens combined).
- Claude Sonnet 5 is faster at 95 tok/s vs 52 tok/s.
- Claude Sonnet 5 leads on SWE-bench coding (81.2% vs 76.5%).
| Feature | Claude Fable 5 | Claude Sonnet 5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 72 | 68 |
Provider | Anthropic | Anthropic |
Input Price Cost per million input tokens | $10.00 / 1M | $3.00 / 1M |
Output Price Cost per million output tokens | $50.00 / 1M | $15.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $7.70 / 1M | $2.31 / 1M |
Context Window Maximum input + output tokens | 1M tokens~1,500 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 128K | 128K |
Throughput Speed Tokens generated per second | 52 tok/s | 95 tok/s |
SWE-bench Verified Real-world software engineering | 76.5% | 81.2% |
GPQA Diamond Graduate-level reasoning | 79.2% | 77.5% |
Cached Input Price Prompt caching discount per 1M tokens | $1.00 / 1M | $0.30 / 1M |
부문별 우위 모델
At-a-glance decision framework검증된 벤치마크 점수 비교
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Tokens emitted per second during active generation streaming.
지연 시간(Latency) 및 응답 속도
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
실시간 API 토큰 비용 시뮬레이터
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Claude Fable 5 · Strengths & Key Advantages
- Anthropic의 첨단 Mythos-Class Dense Reasoning Architecture 아키텍처와 최대 1M 토큰 컨텍스트 지원
- 경쟁력 있는 API 가격(입력 $10/1M, 출력 $50/1M)과 빠른 응답 속도
- 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
- 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
- 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨
Claude Sonnet 5 · Strengths & Key Advantages
- Anthropic의 첨단 Next-Gen 1M Multimodal Agent Engine 아키텍처와 최대 1M 토큰 컨텍스트 지원
- 경쟁력 있는 API 가격(입력 $3/1M, 출력 $15/1M)과 빠른 응답 속도
- 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
- 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
- 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Claude Fable 5 | Claude Sonnet 5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $10.97 | $3.48 |
Output Tokens / Task Tokens generated per task | 72K | 72K |
Reasoning Tokens / Task Thinking tokens burned per task | 37K | 38K |
기술 사양 (Specifications)
Architecture, release timeline, capabilities, and modalities.
| Feature | Claude Fable 5 | Claude Sonnet 5 |
|---|---|---|
| Official API Model ID (SDK) | claude-fable-5-20260601 | claude-sonnet-5-20260601 |
| API Protocol | Anthropic Messages API + AWS Bedrock + Vertex AI | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Release Date | 2026-06 | 2026-06 |
| Knowledge Cutoff | March 2026 | March 2026 |
| Architecture | Mythos-Class Dense Reasoning Architecture | Next-Gen 1M Multimodal Agent Engine |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | $1/1M cached read (90% off); 5-min default & 1-hour extended TTL | $0.3/1M cached read (90% off); 5-min default & 1-hour extended TTL |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| MCP & Parallel Tool Calling | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Sandbox | Native Web Search Citations + Code Execution Tool + MCP Connectors | Native Web Search Citations + Code Execution Tool + MCP Connectors |
| Official Fine-Tuning Support | Custom Model Tuning via Amazon Bedrock & Prompt Distillation | Custom Model Tuning via Amazon Bedrock & Prompt Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) |
| Quantization & Min GPU VRAM | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) |
| Safety & Frontier Classification | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text, vision | text, vision |
| Output Modalities | text | text |
Claude Fable 5 vs Claude Sonnet 5: 핵심 요약 문답 (FAQ)
Which is more intelligent, Claude Fable 5 or Claude Sonnet 5?
Claude Fable 5 is more intelligent. It scores 72 compared with 68 on the composite Intelligence Index.
Which model is faster?
Claude Sonnet 5 is faster, generating 95 tokens per second compared with 52 tokens per second.
Which model is cheaper to run?
Claude Sonnet 5 is cheaper at $2.31 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Claude Sonnet 5 has lower latency, with a time to first token of 0.60s compared with 1.75s.
종합 평가
Verdict & Model Selection Recommendation: Choose Claude Fable 5 if your priority is Literary authorship, complex screenwriting, video game narrative trees, and high-end marketing campaigns. Its performance in demanding tasks justifies its operational token cost. Choose Claude Sonnet 5 if your workflow prioritizes Autonomous coding IDE integrations, enterprise repository maintenance, and general-purpose intelligence. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.
자주 묻는 질문 (FAQ)
How does Claude Fable 5 compare to Claude Sonnet 5 in API token pricing and cost per token?+
Claude Fable 5 costs $10.00 per 1M input tokens and $50.00 per 1M output tokens, whereas Claude Sonnet 5 costs $3.00 input and $15.00 output. Overall, Claude Sonnet 5 is the more cost-effective model for high-volume API pipelines. Both models support prompt caching discounts of up to 90% for repeated prompt prefixes.
Which model has a larger context window: Claude Fable 5 or Claude Sonnet 5?+
Both Claude Fable 5 and Claude Sonnet 5 offer an identical context window of 1,000K tokens (~750k words). Both architectures provide equal capacity for large document ingestion, multi-file codebases, and extended multi-turn conversation histories.
Which AI model is better for software engineering and coding: Claude Fable 5 or Claude Sonnet 5?+
Claude Fable 5 scores 76.5% on SWE-bench Verified while Claude Sonnet 5 scores 81.2%. For autonomous software engineering and multi-file debugging, Claude Sonnet 5 holds the verified benchmark lead.
What is the difference in reasoning capability and extended thinking between Claude Fable 5 and Claude Sonnet 5?+
Claude Fable 5 features native chain-of-thought extended thinking mode with configurable reasoning effort. In contrast, Claude Sonnet 5 provides chain-of-thought reasoning depth for complex math and science.
How does inference speed (tokens per second) compare between Claude Fable 5 and Claude Sonnet 5?+
Claude Fable 5 generates approximately 52 tokens per second, while Claude Sonnet 5 delivers 95 tokens per second. In latency-sensitive production environments, Claude Sonnet 5 provides faster time-to-first-token (TTFT) and higher streaming response velocity.
Can you implement a tiered LLM routing setup combining Claude Fable 5 and Claude Sonnet 5 to optimize costs?+
Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Claude Sonnet 5 to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Claude Fable 5. This tiered routing pattern cuts overall API bills by up to 70%.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
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Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.
공식 출처: GetInfoUs Independent AI Benchmarks & Official API Specs