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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

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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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

Claude 3.5 Haiku dari Anthropic dan Claude 3 Haiku dari Anthropic adalah dua model AI unggulan. Claude 3.5 Haiku menawarkan jendela konteks 200K token dengan harga $0.80/$4.00 per 1 juta token, sedangkan Claude 3 Haiku menyediakan konteks 200K token seharga $0.25/$1.25 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Anthropic

Claude 3.5 Haiku

Model Agen Otonom & Alat

Claude 3.5 Haiku dari Anthropic adalah model AI yang dirancang untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, menghadirkan jendela konteks 200K, kecepatan 130 token/detik, indeks kecerdasan 36/

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

Inferensi Super Cepat

Claude 3 Haiku dari Anthropic adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 200K, kecepatan 125 token/detik, indeks kecerdasan 33/100, serta

Intelligence Index33 / 100
Input Token:

$0.25 / 1M

Output Token:

$1.25 / 1M

Context Window:

200K tokens

SWE-bench Verified:

10.5%

Perbedaan Utama Sekilas

  • 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

Siapa Unggul di Mana?

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

Skor Benchmark Terverifikasi

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

Latensi & Waktu Respons

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

Simulator Biaya Token Interaktif

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

  • Jendela konteks 200K dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 40.6% · GPQA Diamond 41.6%)
  • Kecepatan generasi tinggi 130 token/detik dengan latensi token pertama (TTFT) hanya 380 ms
  • Skema harga API kompetitif (tarif $0.8/$4 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
  • Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
  • Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Claude 3 Haiku · Strengths & Key Advantages

  • Jendela konteks 200K dengan kapasitas output maksimum hingga 4K token (SWE-bench Verified 10.5% · GPQA Diamond 33%)
  • Kecepatan generasi tinggi 125 token/detik dengan latensi token pertama (TTFT) hanya 350 ms
  • Skema harga API kompetitif (tarif $0.25/$1.25 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
  • Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
  • Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

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

Spesifikasi Teknis

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: Jawaban Cepat (FAQ)

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.

Kesimpulan

Baik Claude 3.5 Haiku (Sangat cocok untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Claude 3 Haiku (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Claude 3.5 Haiku unggul dalam penalaran dan pemrograman, Claude 3.5 Haiku memberikan kecepatan generasi token lebih tinggi, dan Claude 3 Haiku lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Claude 3.5 Haiku atau Claude 3 Haiku?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Claude 3.5 Haiku memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Claude 3.5 Haiku vs Claude 3 Haiku?+

Claude 3.5 Haiku mengenakan biaya $0.80 / $4.00 per 1M token input/output, sedangkan Claude 3 Haiku sebesar $0.25 / $1.25. Secara keseluruhan, Claude 3 Haiku lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Claude 3.5 Haiku mendukung konteks 200K token dibandingkan 200K token pada Claude 3 Haiku, sementara Claude 3.5 Haiku unggul dalam kecepatan output token per detik.

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.

Sumber resmi: Dokumentasi API resmi Anthropic & Anthropic serta evaluasi benchmark independen (2026).