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Head-to-Head Model Comparison

Claude 3.5 Haiku vs Claude 3 Haiku

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 3.5 Haiku vs Claude 3 Haiku: Benchmarks, Pricing & Speed Comparison

Anthropic tarafından geliştirilen Claude 3.5 Haiku ve Anthropic tarafından sunulan Claude 3 Haiku, kendi sınıflarının öne çıkan yapay zeka modelleridir. Claude 3.5 Haiku, 200K token bağlam penceresi ve 1M token başına $0.80/$4.00 fiyat sunarken; Claude 3 Haiku, 200K token bağlam penceresi ve $0.25/$1.25 fiyatla gelir. Aşağıda tüm benchmark, hız ve maliyet detaylarını inceleyebilirsiniz.

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Anthropic

Claude 3.5 Haiku

Otonom Ajan ve Araç Modeli

Anthropic tarafından geliştirilen Claude 3.5 Haiku; otonom ajan iş akışları, araç çağırma (tool calling) ve çok adımlı otomasyon için tasarlanmış olup 200K bağlam penceresi, 130 token/sn hız, 36/100 zeka indeksi ve 1M token başına $0.8/$4 f

Intelligence Index36 / 100
Input Token:

$0.80 / 1M

Output Token:

$4.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

40.6%

Anthropic

Claude 3 Haiku

Ultra Hızlı Düşük Gecikme

Anthropic tarafından geliştirilen Claude 3 Haiku; ultra düşük gecikmeli gerçek zamanlı sohbet ve yüksek hacimli yönlendirme için tasarlanmış olup 200K bağlam penceresi, 125 token/sn hız, 33/100 zeka indeksi ve 1M token başına $0.25/$1.25 fi

Intelligence Index33 / 100
Input Token:

$0.25 / 1M

Output Token:

$1.25 / 1M

Context Window:

200K tokens

SWE-bench Verified:

10.5%

Bir Bakışta Temel Farklar

  • Claude 3 Haiku is 3.2x cheaper for API usage (input + output tokens combined).
  • Claude 3.5 Haiku is faster at 130 tok/s vs 125 tok/s.
  • Claude 3.5 Haiku leads on SWE-bench coding (40.6% vs 10.5%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureClaude 3.5 HaikuClaude 3 Haiku
Intelligence Index
Composite reasoning & knowledge score (0-100)
3633
Provider
AnthropicAnthropic
Input Price
Cost per million input tokens
$0.80 / 1M$0.25 / 1M
Output Price
Cost per million output tokens
$4.00 / 1M$1.25 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.62 / 1M$0.19 / 1M
Context Window
Maximum input + output tokens
200K tokens~300 A4 pages of text200K tokens~300 A4 pages of text
Max Output Tokens
Per single request
8K4K
Throughput Speed
Tokens generated per second
130 tok/s125 tok/s
SWE-bench Verified
Real-world software engineering
40.6%10.5%
GPQA Diamond
Graduate-level reasoning
41.6%33%
Cached Input Price
Prompt caching discount per 1M tokens
$0.08 / 1M$0.03 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework
Coding
Claude 3.5 Haiku
+30.1% SWE-bench lead
Cost
Claude 3 Haiku
3.2x cheaper monthly runtime
Speed
Claude 3.5 Haiku
+4% faster generation
Context
Tied
200K tokens window

Doğrulanmış Benchmark Puanları

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

Claude 3.5 HaikuClaude 3 Haiku
SWE-bench Verified (Autonomous Coding)

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

40.6%vs10.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

41.6%vs33%
MMLU-Pro (Multi-task Language Understanding)

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

69.2%vs61.2%
LMSYS Chatbot Arena Elo

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

1260ptsvs1175pts
Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

6.7%vsN/A
Terminal-Bench (Agentic Coding & Terminal Use)

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

26.8%vsN/A
SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

24.4%vsN/A
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

43.6%vsN/A
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

47.8%vsN/A
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

62.3%vsN/A
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

130 tok/s vs125 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 3.5 Haiku0.38s
Claude 3 Haiku0.35s
Est. End-to-End Response (500 tokens)TTFT + generation time
Claude 3.5 Haiku4.23s
Claude 3 Haiku4.35s

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 3.5 Haiku Monthly API Bill
$4.92 / month
$0.8/1M in · $4/1M out
Claude 3 Haiku Monthly API Bill
$1.54 / month
$0.25/1M in · $1.25/1M out
Claude 3 Haiku saves approximately $3.38 / month (69%) under this workload.3.2x Savings

Claude 3.5 Haiku · Strengths & Key Advantages

  • 200K bağlam penceresi ve yanıt başına maksimum 8K çıktı tokenı kapasitesi (SWE-bench Verified 40.6% · GPQA Diamond 41.6%)
  • Sadece 380 ms ilk token gecikmesi (TTFT) ile saniyede 130 token yüksek üretim hızı
  • İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $0.8/$4 fiyatlandırma)
Considerations & Trade-offs
  • Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
  • Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

Claude 3 Haiku · Strengths & Key Advantages

  • 200K bağlam penceresi ve yanıt başına maksimum 4K çıktı tokenı kapasitesi (SWE-bench Verified 10.5% · GPQA Diamond 33%)
  • Sadece 350 ms ilk token gecikmesi (TTFT) ile saniyede 125 token yüksek üretim hızı
  • İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $0.25/$1.25 fiyatlandırma)
Considerations & Trade-offs
  • Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
  • Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

Token Use & Task Economics

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

MetricClaude 3.5 HaikuClaude 3 Haiku
Cost per Task
Estimated USD to finish one task
$0.90$0.20
Output Tokens / Task
Tokens generated per task
45K24K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

FeatureClaude 3.5 HaikuClaude 3 Haiku
Official API Model ID (SDK)claude-3-5-haiku-20241101claude-3-haiku-20240301
API ProtocolAnthropic Messages API + AWS Bedrock + Vertex AIAnthropic Messages API + AWS Bedrock + Vertex AI
Release Date2024-112024-03
Knowledge CutoffJuly 2024August 2023
ArchitectureOptimized Lightweight TransformerCompact High-Throughput Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 TPM4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 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$0.08/1M cached read (90% off); 5-min default & 1-hour extended TTL$0.025/1M 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 3.5 Haiku vs Claude 3 Haiku: Hızlı Yanıtlar (SSS)

Which is more intelligent, Claude 3.5 Haiku or Claude 3 Haiku?

Claude 3.5 Haiku is more intelligent. It scores 36 compared with 33 on the composite Intelligence Index.

Which model is faster?

Claude 3.5 Haiku is faster, generating 130 tokens per second compared with 125 tokens per second.

Which model is cheaper to run?

Claude 3 Haiku is cheaper at $0.19 per 1M tokens blended, compared with $0.62 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude 3 Haiku has lower latency, with a time to first token of 0.35s compared with 0.38s.

Sonuç

Hem Claude 3.5 Haiku (otonom ajan iş akışları, araç çağırma (tool calling) ve çok adımlı otomasyon, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Claude 3 Haiku (ultra düşük gecikmeli gerçek zamanlı sohbet ve yüksek hacimli yönlendirme, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Claude 3.5 Haiku karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Claude 3.5 Haiku daha yüksek üretim hızı sağlar; Claude 3 Haiku ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Claude 3.5 Haiku mi yoksa Claude 3 Haiku mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Claude 3.5 Haiku önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Claude 3.5 Haiku ve Claude 3 Haiku API fiyatları nasıl karşılaştırılır?+

Claude 3.5 Haiku 1M giriş/çıkış tokeni başına $0.80 / $4.00 ücretlendirilirken, Claude 3 Haiku $0.25 / $1.25 seviyesindedir. Karma maliyette Claude 3 Haiku daha avantajlıdır.

Hangi modelin bağlam penceresi daha geniş ve hızı daha yüksek?+

Claude 3.5 Haiku 200K token bağlam penceresi sunarken Claude 3 Haiku 200K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Claude 3.5 Haiku öndedir.

AI Terminology & Guide
Explore Glossary →

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

Tokens & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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: Anthropic ve Anthropic resmi API dokümantasyonu, sistem kartları ve bağımsız benchmark testleri (2026).