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Head-to-Head Model Comparison

o4-mini vs Claude Haiku 5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
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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 di OpenAI e Claude Haiku 5.5 di Anthropic sono due modelli di IA di riferimento. o4-mini offre una finestra di contesto di 200K token a $1.10/$4.40 per milione di token, mentre Claude Haiku 5.5 mette a disposizione 200K token di contesto a $1.00/$5.00 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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OpenAI

o4-mini

Motore di Ragionamento Profondo

o4-mini di OpenAI è un modello di IA progettato per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, con finestra di contesto da 200K, velocità di 105 token/s, indice di intelligenza di 50/100 e tariffa di $1

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

Inferenza Ultra-Rapida

Claude Haiku 5.5 di Anthropic è un modello di IA progettato per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, con finestra di contesto da 200K, velocità di 160 token/s, indice di intelligenza di 62/100 e ta

Intelligence Index62 / 100
Input Token:

$1.00 / 1M

Output Token:

$5.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

68.4%

Differenze Chiave a Colpo d’Occhio

  • 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

Chi vince in ogni 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

Punteggi Benchmark Verificati

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

Latenza e Tempo di Risposta

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

Simulatore Interattivo dei Costi Token

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

  • Finestra di contesto da 200K con capacità massima di output fino a 100K token (SWE-bench Verified 57.5% · GPQA Diamond 73%)
  • Throughput elevato di 105 token/secondo con latenza al primo token (TTFT) di soli 1800 ms
  • Economia API competitiva ($1.1/$4.4 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
  • Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
  • Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Claude Haiku 5.5 · Strengths & Key Advantages

  • Finestra di contesto da 200K con capacità massima di output fino a 64K token (SWE-bench Verified 68.4% · GPQA Diamond 69.8%)
  • Throughput elevato di 160 token/secondo con latenza al primo token (TTFT) di soli 220 ms
  • Economia API competitiva ($1/$5 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
  • Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
  • Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

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

Specifiche Tecniche

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: Risposte Rapide (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.

Verdetto

Sia o4-mini (Ideale per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, sistemi RAG aziendali e integrazioni API scalabili.) sia Claude Haiku 5.5 (Ideale per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Claude Haiku 5.5 guida nei benchmark di ragionamento e programmazione, Claude Haiku 5.5 garantisce una generazione più rapida e Claude Haiku 5.5 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, o4-mini o Claude Haiku 5.5?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Claude Haiku 5.5. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra o4-mini e Claude Haiku 5.5?+

o4-mini costa $1.10 / $4.40 per milione di token di input/output, mentre Claude Haiku 5.5 costa $1.00 / $5.00. Nel costo combinato, Claude Haiku 5.5 risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

o4-mini supporta 200K token di contesto contro 200K token di Claude Haiku 5.5, mentre Claude Haiku 5.5 offre una velocità di generazione superiore.

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.

Fonti ufficiali: Documentazione API ufficiale di OpenAI e Anthropic, schede di sistema e benchmark indipendenti (2026).