Head-to-Head Model Comparison

Claude Fable 5 vs Claude Sonnet 5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Claude Fable 5 vs Claude Sonnet 5: Benchmarks, Pricing & Speed Comparison

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.

Comparación Directa (VS)

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Anthropic

Claude Fable 5

Creativo clase Mythos

de Anthropic especializado mythos-clase creativo y literary inteligencia titan, ofreciendo extraordinary estilístico matiz, de formato largo coherencia, y rich narrativo profundidad.

Intelligence Index72 / 100
Input Token:

$10.00 / 1M

Output Token:

$50.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

76.5%

Anthropic

Claude Sonnet 5

1M general

de Anthropic insignia mainstream modelo de medio-2026, ofreciendo 1-millones-token contexto procesamiento, superior codificación agentes, y multimodal herramienta integración un estándar prices.

Intelligence Index68 / 100
Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

81.2%

Diferencias Clave de un Vistazo

  • 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%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaracterísticaClaude Fable 5Claude Sonnet 5
Intelligence Index
Composite reasoning & knowledge score (0-100)
7268
Provider
AnthropicAnthropic
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 text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
128K128K
Throughput Speed
Tokens generated per second
52 tok/s95 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

¿Quién gana en cada área?

At-a-glance decision framework
Código
Claude Sonnet 5
+4.7% SWE-bench lead
Costo
Claude Sonnet 5
3.3x cheaper monthly runtime
Velocidad
Claude Sonnet 5
+83% faster generation
Contexto
Tied
1M tokens window

Puntuaciones de Benchmarks Verificadas

Official evaluation metrics verified by independent third-party research labs.

Claude Fable 5Claude Sonnet 5
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

76.5%vs81.2%
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

79.2%vs77.5%
MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

88.5%vs89.2%
LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1435ptsvs1445pts
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

44.5%vs56.4%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

52 tok/s vs95 tok/s

Latencia y Tiempo de Respuesta

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better
Claude Fable 51.75s
Claude Sonnet 50.60s
Est. End-to-End Response (500 tokens)TTFT + generation time
Claude Fable 511.37s
Claude Sonnet 55.86s

Simulador Interactivo de Costos de Tokens

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Claude Fable 5 Monthly API Bill
$61.50 / month
$10/1M in · $50/1M out
Claude Sonnet 5 Monthly API Bill
$18.45 / month
$3/1M in · $15/1M out
Claude Sonnet 5 saves approximately $43.05 / month (70%) under this workload.3.3x Savings

Claude Fable 5 · Strengths & Key Advantages

  • Peerless narrativo coherencia y creativo prose generación un través de 1M contexto
  • profundo contextual empathy y nuanced psychological análisis
  • Sophisticated mundo-building y multi-character dialogue consistency
Considerations & Trade-offs
  • sustancial premium precios ($10 en / $50 out por 1M tokens)
  • Strict 30-day empresarial datos retention requirements sparked privacy discussions
  • codificación rendimiento es slightly subordinated un prose y conceptual razonamiento

Claude Sonnet 5 · Strengths & Key Advantages

  • 81.2% SWE-bench Verified codificación prowess un estándar $3/$15 empresarial precios
  • nativo 1M token ventana de contexto handling entire corporativo codebases en un único prompt
  • excepcional CursorBench4 rating (30.8) y bajo costo-por-tarea metrics ($3.48)
Considerations & Trade-offs
  • alto razonamiento cargas de trabajo puede see brief rendimiento throttling during pico cloud hours
  • Trailing el especializado Opus 5 en abierto-ended científico proofs

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

MetricClaude Fable 5Claude Sonnet 5
Cost per Task
Estimated USD to finish one task
$10.97$3.48
Output Tokens / Task
Tokens generated per task
72K72K
Reasoning Tokens / Task
Thinking tokens burned per task
37K38K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

CaracterísticaClaude Fable 5Claude Sonnet 5
Official API Model ID (SDK)claude-fable-5-20260601claude-sonnet-5-20260601
API ProtocolAnthropic Messages API + AWS Bedrock + Vertex AIAnthropic Messages API + AWS Bedrock + Vertex AI
Release Date2026-062026-06
Knowledge CutoffMarch 2026March 2026
ArchitectureMythos-Class Dense Reasoning ArchitectureNext-Gen 1M Multimodal Agent Engine
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM4,000 – 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 tokensStandard 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 AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxNative Web Search Citations + Code Execution Tool + MCP ConnectorsNative Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning SupportCustom Model Tuning via Amazon Bedrock & Prompt DistillationCustom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token BillingText 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 VRAMCloud-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 ClassificationAnthropic RSP ASL-2 / ASL-3 Constitutional Safety EvaluatedAnthropic 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 TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, visiontext, vision
Output Modalitiestexttext

Claude Fable 5 vs Claude Sonnet 5: Respuestas Rápidas (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.

Veredicto

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.

Preguntas frecuentes

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%.

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.

Fuentes: GetInfoUs Independent AI Benchmarks & Official API Specs