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Head-to-Head Model Comparison

o4-mini vs Claude Haiku 5.5

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
o4-mini vs Claude Haiku 5.5: Benchmarks, Pricing & Speed Comparison

o4-mini dari OpenAI dan Claude Haiku 5.5 dari Anthropic adalah dua model AI unggulan. o4-mini menawarkan jendela konteks 200K token dengan harga $1.10/$4.40 per 1 juta token, sedangkan Claude Haiku 5.5 menyediakan konteks 200K token seharga $1.00/$5.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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OpenAI

o4-mini

Mesin Penalaran Mendalam

o4-mini dari OpenAI adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 200K, kecepatan 105 token/detik, indeks kecerdasan 50/100, serta tarif $1.1/$4.4

Intelligence Index50 / 100
Input Token:

$1.10 / 1M

Output Token:

$4.40 / 1M

Context Window:

200K tokens

SWE-bench Verified:

57.5%

Anthropic

Claude Haiku 5.5

Inferensi Super Cepat

Claude Haiku 5.5 dari Anthropic adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 200K, kecepatan 160 token/detik, indeks kecerdasan 62/100, sert

Intelligence Index62 / 100
Input Token:

$1.00 / 1M

Output Token:

$5.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

68.4%

Perbedaan Utama Sekilas

  • o4-mini is 1.0x cheaper for API usage (input + output tokens combined).
  • Claude Haiku 5.5 is faster at 160 tok/s vs 105 tok/s.
  • Claude Haiku 5.5 leads on SWE-bench coding (68.4% vs 57.5%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
Featureo4-miniClaude Haiku 5.5
Intelligence Index
Composite reasoning & knowledge score (0-100)
5062
Provider
OpenAIAnthropic
Input Price
Cost per million input tokens
$1.10 / 1M$1.00 / 1M
Output Price
Cost per million output tokens
$4.40 / 1M$5.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.85 / 1M$0.77 / 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
100K64K
Throughput Speed
Tokens generated per second
105 tok/s160 tok/s
SWE-bench Verified
Real-world software engineering
57.5%68.4%
GPQA Diamond
Graduate-level reasoning
73%69.8%
Cached Input Price
Prompt caching discount per 1M tokens
$0.28 / 1M$0.10 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding
Claude Haiku 5.5
+10.9% SWE-bench lead
Cost
o4-mini
1.0x cheaper monthly runtime
Speed
Claude Haiku 5.5
+52% faster generation
Context
Tied
200K tokens window

Skor Benchmark Terverifikasi

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

o4-miniClaude Haiku 5.5
SWE-bench Verified (Autonomous Coding)

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

57.5%vs68.4%
GPQA Diamond (Doctorate-Level Science & Math)

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

73%vs69.8%
MMLU-Pro (Multi-task Language Understanding)

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

83%vs83.2%
LMSYS Chatbot Arena Elo

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

1325ptsvs1370pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

11.2%vsN/A
Terminal-Bench (Agentic Coding & Terminal Use)

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

36%vsN/A
SciCode (Scientific Computing)

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

38.5%vsN/A
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

65%vsN/A
AIME (Advanced Math Competition)

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

89.5%vsN/A
Long-Context Reasoning

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

74.5%vsN/A
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

105 tok/s vs160 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
o4-mini1.80s
Claude Haiku 5.50.22s
Est. End-to-End Response (500 tokens)TTFT + generation time
o4-mini6.56s
Claude Haiku 5.53.35s

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)
o4-mini Monthly API Bill
$6.02 / month
$1.1/1M in · $4.4/1M out
Claude Haiku 5.5 Monthly API Bill
$6.15 / month
$1/1M in · $5/1M out
o4-mini saves approximately $0.13 / month (2%) under this workload.1.0x Savings

o4-mini · Strengths & Key Advantages

  • Jendela konteks 200K dengan kapasitas output maksimum hingga 100K token (SWE-bench Verified 57.5% · GPQA Diamond 73%)
  • Kecepatan generasi tinggi 105 token/detik dengan latensi token pertama (TTFT) hanya 1800 ms
  • Skema harga API kompetitif (tarif $1.1/$4.4 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 Haiku 5.5 · Strengths & Key Advantages

  • Jendela konteks 200K dengan kapasitas output maksimum hingga 64K token (SWE-bench Verified 68.4% · GPQA Diamond 69.8%)
  • Kecepatan generasi tinggi 160 token/detik dengan latensi token pertama (TTFT) hanya 220 ms
  • Skema harga API kompetitif (tarif $1/$5 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.

Metrico4-miniClaude Haiku 5.5
Cost per Task
Estimated USD to finish one task
$0.72$0.70
Output Tokens / Task
Tokens generated per task
45K20K
Reasoning Tokens / Task
Thinking tokens burned per task
25K10K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Featureo4-miniClaude Haiku 5.5
Official API Model ID (SDK)o4-miniclaude-haiku-5-5-20261001
API ProtocolOpenAI Responses API & Chat Completions v1Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date2025-042026-10
Knowledge CutoffJune 2024August 2026
ArchitectureCompact reasoning transformerUltra-Fast Lightweight Reasoning Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 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)Flat rate ($1.1/1M in) across full 200K windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLAutomatic prefix caching at $0.275/1M (no extra cache-write fee)$0.1/1M 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 tool + Hosted Code Interpreter & File Search RAGNative Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning SupportSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)Custom 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 ClassificationOpenAI Preparedness Framework Audited & System Card PublishedAnthropic 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

o4-mini vs Claude Haiku 5.5: Jawaban Cepat (FAQ)

Which is more intelligent, o4-mini or Claude Haiku 5.5?

Claude Haiku 5.5 is more intelligent. It scores 62 compared with 50 on the composite Intelligence Index.

Which model is faster?

Claude Haiku 5.5 is faster, generating 160 tokens per second compared with 105 tokens per second.

Which model is cheaper to run?

Claude Haiku 5.5 is cheaper at $0.77 per 1M tokens blended, compared with $0.85 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude Haiku 5.5 has lower latency, with a time to first token of 0.22s compared with 1.80s.

Kesimpulan

Baik o4-mini (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Claude Haiku 5.5 (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 Haiku 5.5 unggul dalam penalaran dan pemrograman, Claude Haiku 5.5 memberikan kecepatan generasi token lebih tinggi, dan Claude Haiku 5.5 lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, o4-mini atau Claude Haiku 5.5?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Claude Haiku 5.5 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API o4-mini vs Claude Haiku 5.5?+

o4-mini mengenakan biaya $1.10 / $4.40 per 1M token input/output, sedangkan Claude Haiku 5.5 sebesar $1.00 / $5.00. Secara keseluruhan, Claude Haiku 5.5 lebih hemat biaya.

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

o4-mini mendukung konteks 200K token dibandingkan 200K token pada Claude Haiku 5.5, sementara Claude Haiku 5.5 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 OpenAI & Anthropic serta evaluasi benchmark independen (2026).