All Models
AnthropicSmall / On-DeviceProprietary Commercial APIReleased: 2025-10-22

Claude Haiku 4.5

Claude Haiku 4.5 delivers lightning-fast inference and remarkable intelligence density, operating at sub-200ms latency for real-time customer workflows, classification, and content moderation.

Foundation DNA78/100
DENSE ArchProprietary params
At a Glance Specifications
Context Window

200k

~150k words input

Token Pricing

$0.8 / $4

Prompt / Completion per 1M

Top Benchmark

1375 Elo

Chatbot Arena Elo

Hardware Tier

Cloud Managed

Zero local VRAM

6-Axis Foundation Model DNA

Holistic Capability Distribution

Normalized 0-100 rating vectors balanced across intelligence, throughput, and economics.

Overall Index:78/100
ReasoningCodingSpeedEconomicsContextFlexibility
Context: 84/100 (Window Horizon)
ReasoningGPQA / Logic / Math
79/100
CodingSWE-bench / LCB
78/100
SpeedTokens / Second
97/100
EconomicsCost Efficiency
96/100
ContextWindow Horizon
84/100
FlexibilityTool Use & Open
82/100
Performance Evaluations

Verified LLM Benchmarks

Empirical evaluations across academic reasoning, software engineering, agentic execution, and human preference.

Chatbot Arena Elo Headline
1375Elo
LMSYS Blind Pairwise Battles
Human Preferencehttps://chat.lmsys.org/
GPQA Diamond Headline
68.4% pass@1
Inspect
Academic ReasoningAnthropic Claude 4.5 Haiku Announcement
SWE-bench Verified Headline
58.6% resolved
swebench.harness
CodingAnthropic Claude 4.5 Haiku Announcement
MMLU-Pro Headline
74.2% pass@1
lm-eval-harness
Academic ReasoningAnthropic Claude 4.5 Haiku Announcement
Real-Time Provider Telemetry

Inference Latency & Generation Throughput

Empirical telemetry benchmarking generation throughput (Tokens/Second) and Time to First Token (TTFT).

Peak Generation Speed
145tokens/sec

Measured under concurrent production load

Lowest Time to First Token
180ms

p95 latency: 450 ms

Telemetry Verification
99.95%uptime

Across 5,000 monitored requests

Production Trade-Offs

Architectural Strengths vs. Operational Considerations

An objective technical balance sheet analyzing deployment advantages and production constraints.

Operational Advantages

Key Architectural Strengths

  • Ultra-low latency (sub-200ms TTFT) with 145+ peak tokens per second throughput.
  • Unbeatable economics: $0.80 / $4.00 per 1M tokens with $0.08 cache reads.
  • Full 200,000-token context window retained despite lightweight compact architecture.
Production Constraints

Operational Considerations

  • Not recommended for complex symbolic mathematics or deep formal verification.
Technical Specifications

Hardware & Execution Parameters

Architecture Typedense
Total ParametersProprietary
Attention MechanismSliding-Window
Context Window200,000 tokens
Max Output Tokens32,000 tokens
Supported Modalities
textimage
License Typeproprietary
Commercial Use Allowed
Model DistillationProhibited
Zero Data RetentionAvailable
Knowledge Cutoff2025-07
Model Heritage & Evolutionary Lineage

Genealogical Provenance

Compact speed and cost champion in the Claude 4.5 generation.

Base Precursor

anthropic claude 3 5 haiku 20241022

Current Architecture

Claude Haiku 4.5

anthropic claude 4 5 sonnet 202509anthropic claude 4 5 opus 202511
Engineering Deep-Dive

Architecture Engineering & Capability Deep-Dive

Topology & Attention Mechanics

Optimized dense parameter architecture distilled and fine-tuned from Claude 4 teacher checkpoints.

Evaluation Profile & Reasoning Capabilities

Focused on high-accuracy single-turn and few-turn intent parsing, classification, and summarization.

Inference Economics & Cost Optimization

Extremely cost-effective for large enterprise call centers, email sorting, and high-frequency webhook routers.

Primary Production Workloads & Suitability

Real-time voice and conversational support triage
High-volume JSON extraction and PII scrubbing
Semantic search reranking and document embedding summarization
Compute & Deployment Architecture

Cloud Deployment Architecture & Hardware Sizing

Cloud Deployment Architecture

Distributed enterprise serving infrastructure, autoscaling semantics, and runtime execution profile.

Cloud APIZero Local VRAM Required

Proprietary commercial model hosted on managed multi-region clusters with automatic autoscaling, high availability, and prompt prefix caching.

SLA: 99.9% Cloud Availability
Rate Limit: Scaled via Provider Quota
Cache: Automatic Prefix Compression
Serving Model

Multi-Tenant Cloud API

Continuous autoscaling with regional failover

Hardware Overhead

0 GB Local VRAM

Inference executed on hyperscaler accelerator clusters

Context Capacity

200k tokens

Supported with automated KV cache prefix compression

SDK Installation

$npm install @anthropic-ai/sdk
$pip install anthropic
Inference Economics & Total Cost of Ownership

Commercial Token Rates & Cost Estimator

Base Input Tokens

$0.80 / 1M

Standard prompt context ingestion

Base Output Tokens

$4.00 / 1M

Generated completion & thinking tokens

Prompt Cache ReadUp to 80% Off

$0.08 / 1M

Re-used prompt prefix context

Monthly Production Cost Simulator

Daily Prompt Ingestion5M tokens/day (~150M/mo)
Daily Completion Generation1M tokens/day (~30M/mo)
Prompt Prefix Cache Hit Rate40%
Estimated Monthly Spend

$196.80

Includes prompt caching

Monthly Cache Savings

-$43.20

Saved via prefix context caching

Frontier Alternatives

Comparable Foundation Architectures

Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.

AnthropicCode

Claude Sonnet 4.5

Claude Sonnet 4.5 establishes a new frontier standard in autonomous software engineering with 80%+ SWE-bench Verified resolution, expanded 250k context, and optimized test-time execution.

Context:250k ctx
Parameters:Proprietary
Input Rate:$3/1M
Compare Architecture
GoogleMultimodal

Gemini 2.0 Flash

Google's next-generation multimodal model built for the agentic era with sub-second latency, native tool use, and a 1,000,000 token context window.

Context:1,048.576k ctx
Parameters:Proprietary
Input Rate:$0.1/1M
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AnthropicReasoning

Claude Opus 4

Claude Opus 4 is Anthropic's flagship frontier reasoning model for the Claude 4 generation, featuring an advanced hybrid test-time reasoning engine, 200k context window, and breakthrough scores on graduate-level STEM and multi-step deduction.

Context:200k ctx
Parameters:Proprietary
Input Rate:$15/1M
Compare Architecture
AnthropicCode

Claude Sonnet 4

Claude Sonnet 4 is Anthropic's premier balanced engineering model for the Claude 4 generation, engineered for rapid autonomous coding agents, multi-step tool execution, and cost-effective enterprise workflows.

Context:200k ctx
Parameters:Proprietary
Input Rate:$3/1M
Compare Architecture
Developer Quickstart

SDK Installation & API Integration

$npm install @anthropic-ai/sdk
$pip install anthropic
import Anthropic from '@anthropic-ai/sdk';

const anthropic = new Anthropic();
const msg = await anthropic.messages.create({
  model: 'claude-4-5-haiku-20251022',
  max_tokens: 1024,
  messages: [{ role: 'user', content: 'Classify sentiment: This product exceeded all my expectations!' }],
});
console.log(msg.content);
Knowledge Base

Frequently Asked Questions about Claude Haiku 4.5

Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.

Choose Haiku 4.5 when response speed (sub-200ms) and minimal cost ($0.80/1M tokens) are paramount, such as interactive search or high-volume data tagging.

Verified Engineering FAQ
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