Anthropic
Claude 5.5 Haiku
High-throughput lightweight model matching Claude 3.5 Sonnet class intelligence at extreme speed and low token cost.
Intelligenza
87.5 #32
AAQI 88.0
Velocità Uscita
145 t/s
ITL 6.9 ms/tok
Prezzo combinato (3:1)
$1.6 /1M
Input $0.8/M · Output $4/M
Contesto
500K
≈ 1,250 pagine A4 · output max 32,768
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Claude 5.5 Haiku
Claude Mythos Preview (#1)
Average (68)
Gli assi radar sono approssimati dai punteggi di categoria dove mancano misurazioni dirette — vedi Metodologia.
Punti di forza e compromessi
Dove vince
- Sonnet-3.5-class intelligence at a fraction of the price
- Fast enough for real-time interactive agents
- $0.80/$4 pricing for high-volume workloads
A cosa fare attenzione
- Below Sonnet/Opus on frontier reasoning
- No open weights
Casi d'uso killer
Real-time copilots
Interactive completions and inline edits where latency is the constraint.
High-volume pipelines
Classification, extraction and summarization at scale.
Sub-agent swarms
Cheap worker agents orchestrated by a frontier planner.
Quickstart per sviluppatori e API
Imposta prima
ANTHROPIC_API_KEY — ottieni una chiave APIcurl https://api.anthropic.com/v1/messages \
-H "x-api-key: $ANTHROPIC_API_KEY" \
-H "anthropic-version: 2023-06-01" \
-H "content-type: application/json" \
-d '{
"model": "claude-haiku-5-5",
"max_tokens": 1024,
"messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
}'import anthropic
client = anthropic.Anthropic() # reads ANTHROPIC_API_KEY
msg = client.messages.create(
model="claude-haiku-5-5",
max_tokens=1024,
messages=[{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}],
)
print(msg.content[0].text)const res = await fetch("https://api.anthropic.com/v1/messages", {
method: "POST",
headers: {
"x-api-key": process.env.ANTHROPIC_API_KEY,
"anthropic-version": "2023-06-01",
"content-type": "application/json",
},
body: JSON.stringify({
model: "claude-haiku-5-5",
max_tokens: 1024,
messages: [{ role: "user", content: "Refactor this function for O(n) time and explain the change." }],
}),
});
console.log((await res.json()).content[0].text);Risorse e link ufficiali
Deployment API
Confronta host e latenza
Throughput, TTFT e prezzi cache su Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock e Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Punteggi per Fonte
Punteggi per Categoria
Risultati dei Benchmark
Specifiche live e architettura
Sotto il cofano
Haiku 5.5 — high-throughput lightweight tier
- Lightweight sibling of Sonnet 5.5 tuned for throughput
- 145 tok/s-class output with 500K context
- Prompt caching for cheap repeated prefixes
Data di Rilascio
12 ott 2026
Architettura
Haiku 5.5 — high-throughput lightweight tier
Parametri
Not disclosed
Licenza
Proprietary
Finestra di Contesto
500,000 tokens
Output max
32,768 tokens
Modalità
text + image
Prezzi cache
lettura $0.08 · scrittura $1 /1M
Ragionamento
Livelli di sforzo
Prezzo Ingresso
$0.8/M
Prezzo Uscita
$4/M
Velocità Uscita
145 t/s
Tempo al Primo Token
—
Dati aggiornati
14 ott 2026
Stima bolletta mensile
Spesa mensile stimata
$0.00
Calcolo risparmio vs GPT-4o…
Cita e incorpora
Badge Markdown GitHub
Loading badge markdown...BibTeX
@misc{llmpodium2026claudehaiku55,
title = {Benchmark Analysis and Intelligence Evaluation of Claude 5.5 Haiku},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/claude-haiku-5-5}
}Incorpora il badge del punteggio
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Modelli alternativi
Migliori alternative a Claude 5.5 Haiku in base a capacità, prezzi e benchmark.