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Head-to-Head Model Comparison

o4-mini vs Claude Haiku 5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política 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 da OpenAI e Claude Haiku 5.5 da Anthropic são dois modelos de IA de destaque. O o4-mini oferece uma janela de contexto de 200K tokens a $1.10/$4.40 por milhão de tokens, enquanto o Claude Haiku 5.5 oferece 200K tokens de contexto a $1.00/$5.00 por milhão de tokens. Veja abaixo a comparação completa de benchmarks, latência e custos.

Comparação Direta (VS)

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OpenAI

o4-mini

Motor de Raciocínio Profundo

O o4-mini da OpenAI é um modelo de IA projetado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, oferecendo janela de contexto de 200K, velocidade de 105 tokens/s, índice de inteligência de 50/100 e t

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

Inferência Ultrarrápida

O Claude Haiku 5.5 da Anthropic é um modelo de IA projetado para respostas em tempo real com latência ultrabaixa e roteamento de alto volume, oferecendo janela de contexto de 200K, velocidade de 160 tokens/s, índice de inteligência de 62/10

Intelligence Index62 / 100
Input Token:

$1.00 / 1M

Output Token:

$5.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

68.4%

Principais Diferenças em Resumo

  • 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

Quem vence em cada categoria?

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

Pontuações de Benchmarks Verificadas

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

Latência e Tempo de Resposta

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

Simulador Interativo de Custo de Tokens

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

  • Janela de contexto de 200K com limite máximo de saída de 100K tokens (SWE-bench Verified 57.5% · GPQA Diamond 73%)
  • Taxa de transferência rápida de 105 tokens/segundo com latência inicial (TTFT) de 1800 ms
  • Economia de API competitiva ($1.1/$4.4 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
  • Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
  • Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

Claude Haiku 5.5 · Strengths & Key Advantages

  • Janela de contexto de 200K com limite máximo de saída de 64K tokens (SWE-bench Verified 68.4% · GPQA Diamond 69.8%)
  • Taxa de transferência rápida de 160 tokens/segundo com latência inicial (TTFT) de 220 ms
  • Economia de API competitiva ($1/$5 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
  • Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
  • Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

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

Especificações Técnicas

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: Respostas Rápidas (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.

Veredito

Tanto o4-mini (Indicado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, arquiteturas RAG corporativas e integração escalável via API.) quanto Claude Haiku 5.5 (Indicado para respostas em tempo real com latência ultrabaixa e roteamento de alto volume, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Claude Haiku 5.5 lidera em inteligência geral e programação, Claude Haiku 5.5 oferece geração mais rápida e Claude Haiku 5.5 apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, o4-mini ou Claude Haiku 5.5?+

Nas avaliações de inteligência e código, Claude Haiku 5.5 leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, o4-mini ou Claude Haiku 5.5?+

O o4-mini custa $1.10 / $4.40 por 1M de tokens (entrada/saída) e o Claude Haiku 5.5 custa $1.00 / $5.00. No custo combinado, Claude Haiku 5.5 é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O o4-mini suporta 200K tokens de contexto contra 200K tokens do Claude Haiku 5.5, enquanto Claude Haiku 5.5 entrega maior velocidade de geração.

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.

Fontes oficiais: Documentação oficial de API da OpenAI e Anthropic e benchmarks independentes (2026).