Head-to-Head Model Comparison

Claude Fable 5 vs Claude Sonnet 5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri
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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.

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Anthropic

Claude Fable 5

Derin Akıl Yürütme Modeli

Anthropic tarafından geliştirilen Claude Fable 5, 1M token bağlam penceresi ve 1M girdi başına $10, 1M çıktı başına $50 API fiyatlandırmasıyla yazılım geliştirme, analiz ve kurumsal otomasyon için tasarlanmıştır.

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

Derin Akıl Yürütme Modeli

Anthropic tarafından geliştirilen Claude Sonnet 5, 1M token bağlam penceresi ve 1M girdi başına $3, 1M çıktı başına $15 API fiyatlandırmasıyla yazılım geliştirme, analiz ve kurumsal otomasyon için tasarlanmıştır.

Intelligence Index68 / 100
Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

81.2%

Bir Bakışta Temel Farklar

  • 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 →
FeatureClaude 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

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework
Coding
Claude Sonnet 5
+4.7% SWE-bench lead
Cost
Claude Sonnet 5
3.3x cheaper monthly runtime
Speed
Claude Sonnet 5
+83% faster generation
Context
Tied
1M tokens window

Doğrulanmış Benchmark Puanları

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

Gecikme Süresi ve Yanıt Hızı

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

Gerçek Zamanlı Token Maliyet Simülatörü

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

  • Anthropic imzalı gelişmiş Mythos-Class Dense Reasoning Architecture mimarisi ve 1M token bağlam kapasitesi
  • Dengeli API maliyeti ($10/1M girdi, $50/1M çıktı) ve yüksek yanıt hızı
  • Kod üretimi, mantıksal çıkarım ve çok dilli görevlerde güçlü kıyaslama (benchmark) sonuçları
Considerations & Trade-offs
  • Çok uzun bağlamlı sorgularda token maliyetlerinin dikkatli yönetilmesi gerekir
  • Alan bazlı özel iş akışlarında en yüksek verim için doğru istem (prompt) tasarımı önerilir

Claude Sonnet 5 · Strengths & Key Advantages

  • Anthropic imzalı gelişmiş Next-Gen 1M Multimodal Agent Engine mimarisi ve 1M token bağlam kapasitesi
  • Dengeli API maliyeti ($3/1M girdi, $15/1M çıktı) ve yüksek yanıt hızı
  • Kod üretimi, mantıksal çıkarım ve çok dilli görevlerde güçlü kıyaslama (benchmark) sonuçları
Considerations & Trade-offs
  • Çok uzun bağlamlı sorgularda token maliyetlerinin dikkatli yönetilmesi gerekir
  • Alan bazlı özel iş akışlarında en yüksek verim için doğru istem (prompt) tasarımı önerilir

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

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

FeatureClaude 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: Hızlı Yanıtlar (SSS)

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.

Sonuç

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.

Sıkça Sorulan Sorular (SSS)

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.

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.

Resmi kaynaklar: GetInfoUs Independent AI Benchmarks & Official API Specs