Head-to-Head Model Comparison

o4-mini vs Claude Haiku 5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

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o4-miniProfile

Claude Haiku 5.5Profile

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OpenAI

o4-mini

Derin Akıl Yürütme Motoru

OpenAI tarafından geliştirilen o4-mini; derin mantıksal akıl yürütme, ileri matematik ve çok adımlı bilimsel analiz için tasarlanmış olup 200K bağlam penceresi, 105 token/sn hız, 50/100 zeka indeksi ve 1M token başına $1.1/$4.4 fiyatlandırm

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

Ultra Hızlı Düşük Gecikme

Anthropic tarafından geliştirilen Claude Haiku 5.5; ultra düşük gecikmeli gerçek zamanlı sohbet ve yüksek hacimli yönlendirme için tasarlanmış olup 200K bağlam penceresi, 160 token/sn hız, 62/100 zeka indeksi ve 1M token başına $1/$5 fiyatl

Intelligence Index62 / 100

Input Token:

$1.00 / 1M

Output Token:

$5.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

68.4%

Bir Bakışta Temel Farklar

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 →

Feature	o4-mini	Claude Haiku 5.5
Intelligence Index Composite reasoning & knowledge score (0-100)	50	62
Provider	OpenAI	Anthropic
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 text	200K tokens~300 A4 pages of text
Max Output Tokens Per single request	100K	64K
Throughput Speed Tokens generated per second	105 tok/s	160 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

Hangi Alanda Kim Kazanıyor?

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

Doğrulanmış Benchmark Puanları

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

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

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

Gerçek Zamanlı Token Maliyet Simülatörü

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

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% 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

200K bağlam penceresi ve yanıt başına maksimum 100K çıktı tokenı kapasitesi (SWE-bench Verified 57.5% · GPQA Diamond 73%)
Sadece 1800 ms ilk token gecikmesi (TTFT) ile saniyede 105 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $1.1/$4.4 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 Haiku 5.5 · Strengths & Key Advantages

200K bağlam penceresi ve yanıt başına maksimum 64K çıktı tokenı kapasitesi (SWE-bench Verified 68.4% · GPQA Diamond 69.8%)
Sadece 220 ms ilk token gecikmesi (TTFT) ile saniyede 160 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $1/$5 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.

Metric	o4-mini	Claude Haiku 5.5
Cost per Task Estimated USD to finish one task	$0.72	$0.70
Output Tokens / Task Tokens generated per task	45K	20K
Reasoning Tokens / Task Thinking tokens burned per task	25K	10K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	o4-mini	Claude Haiku 5.5
Official API Model ID (SDK)	o4-mini	claude-haiku-5-5-20261001
API Protocol	OpenAI Responses API & Chat Completions v1	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2025-04	2026-10
Knowledge Cutoff	June 2024	August 2026
Architecture	Compact reasoning transformer	Ultra-Fast Lightweight Reasoning Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM	4,000 – 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 window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Automatic 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 Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Native Web Search tool + Hosted Code Interpreter & File Search RAG	Native Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning Support	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)	Custom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token Billing	Text 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 VRAM	Cloud-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 Classification	OpenAI Preparedness Framework Audited & System Card Published	Anthropic 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 Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text, vision	text, vision
Output Modalities	text	text

o4-mini vs Claude Haiku 5.5: Hızlı Yanıtlar (SSS)

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.

Sonuç

Hem o4-mini (derin mantıksal akıl yürütme, ileri matematik ve çok adımlı bilimsel analiz, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Claude Haiku 5.5 (ultra düşük gecikmeli gerçek zamanlı sohbet ve yüksek hacimli yönlendirme, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Claude Haiku 5.5 karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Claude Haiku 5.5 daha yüksek üretim hızı sağlar; Claude Haiku 5.5 ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için o4-mini mi yoksa Claude Haiku 5.5 mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Claude Haiku 5.5 önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

o4-mini ve Claude Haiku 5.5 API fiyatları nasıl karşılaştırılır?+

o4-mini 1M giriş/çıkış tokeni başına $1.10 / $4.40 ücretlendirilirken, Claude Haiku 5.5 $1.00 / $5.00 seviyesindedir. Karma maliyette Claude Haiku 5.5 daha avantajlıdır.

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

o4-mini 200K token bağlam penceresi sunarken Claude Haiku 5.5 200K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Claude Haiku 5.5 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 & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

o4-mini vs Claude Haiku 5.5

İstediğiniz Modelleri Seçin ve Karşılaştırın

o4-mini

Claude Haiku 5.5

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

o4-mini · Strengths & Key Advantages

Considerations & Trade-offs

Claude Haiku 5.5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

o4-mini vs Claude Haiku 5.5: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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