Head-to-Head Model Comparison

Claude 3.5 Haiku vs Claude 3 Haiku

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial

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Claude 3.5 HaikuProfile

Claude 3 HaikuProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Anthropic

Claude 3.5 Haiku

IA Agéntica y Uso de Herramientas

Claude 3.5 Haiku de Anthropic es un modelo de IA diseñado para flujos de trabajo agénticos autónomos, llamada a herramientas y automatización compleja, con ventana de contexto de 200K, velocidad de 130 tokens/s, índice de inteligencia de 36

Intelligence Index36 / 100

Input Token:

$0.80 / 1M

Output Token:

$4.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

40.6%

Anthropic

Claude 3 Haiku

Inferencia Ultrarrápida

Claude 3 Haiku de Anthropic es un modelo de IA diseñado para interacción en tiempo real, baja latencia y enrutamiento de alto volumen, con ventana de contexto de 200K, velocidad de 125 tokens/s, índice de inteligencia de 33/100 y tarifa de

Intelligence Index33 / 100

Input Token:

$0.25 / 1M

Output Token:

$1.25 / 1M

Context Window:

200K tokens

SWE-bench Verified:

10.5%

Diferencias Clave de un Vistazo

Claude 3 Haiku is 3.2x cheaper for API usage (input + output tokens combined).
Claude 3.5 Haiku is faster at 130 tok/s vs 125 tok/s.
Claude 3.5 Haiku leads on SWE-bench coding (40.6% vs 10.5%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Característica	Claude 3.5 Haiku	Claude 3 Haiku
Intelligence Index Composite reasoning & knowledge score (0-100)	36	33
Provider	Anthropic	Anthropic
Input Price Cost per million input tokens	$0.80 / 1M	$0.25 / 1M
Output Price Cost per million output tokens	$4.00 / 1M	$1.25 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.62 / 1M	$0.19 / 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	8K	4K
Throughput Speed Tokens generated per second	130 tok/s	125 tok/s
SWE-bench Verified Real-world software engineering	40.6%	10.5%
GPQA Diamond Graduate-level reasoning	41.6%	33%
Cached Input Price Prompt caching discount per 1M tokens	$0.08 / 1M	$0.03 / 1M

¿Quién gana en cada área?

At-a-glance decision framework

Código

Claude 3.5 Haiku

+30.1% SWE-bench lead

Costo

Claude 3 Haiku

3.2x cheaper monthly runtime

Velocidad

Claude 3.5 Haiku

+4% faster generation

Contexto

Tied

200K tokens window

Puntuaciones de Benchmarks Verificadas

Official evaluation metrics verified by independent third-party research labs.

Claude 3.5 HaikuClaude 3 Haiku

SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

40.6%vs10.5%

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

41.6%vs33%

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

69.2%vs61.2%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1260ptsvs1175pts

Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

6.7%vsN/A

Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

26.8%vsN/A

SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

24.4%vsN/A

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

43.6%vsN/A

AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

47.8%vsN/A

Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

62.3%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

130 tok/s vs125 tok/s

Latencia y Tiempo de Respuesta

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

Claude 3.5 Haiku0.38s

Claude 3 Haiku0.35s

Est. End-to-End Response (500 tokens)TTFT + generation time

Claude 3.5 Haiku4.23s

Claude 3 Haiku4.35s

Simulador Interactivo de Costos de Tokens

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)

Claude 3.5 Haiku Monthly API Bill

$4.92 / month

$0.8/1M in · $4/1M out

Claude 3 Haiku Monthly API Bill

$1.54 / month

$0.25/1M in · $1.25/1M out

Claude 3 Haiku saves approximately $3.38 / month (69%) under this workload.3.2x Savings

Claude 3.5 Haiku · Strengths & Key Advantages

Ventana de contexto de 200K con hasta 8K tokens de salida máxima (SWE-bench Verified 40.6% · GPQA Diamond 41.6%)
Rendimiento ágil de 130 tokens/segundo con latencia inicial (TTFT) de solo 380 ms
Economía de API competitiva ($0.8/$4 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas

Considerations & Trade-offs

Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

Claude 3 Haiku · Strengths & Key Advantages

Ventana de contexto de 200K con hasta 4K tokens de salida máxima (SWE-bench Verified 10.5% · GPQA Diamond 33%)
Rendimiento ágil de 125 tokens/segundo con latencia inicial (TTFT) de solo 350 ms
Economía de API competitiva ($0.25/$1.25 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas

Considerations & Trade-offs

Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Claude 3.5 Haiku	Claude 3 Haiku
Cost per Task Estimated USD to finish one task	$0.90	$0.20
Output Tokens / Task Tokens generated per task	45K	24K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Claude 3.5 Haiku vs Claude 3 Haiku: Respuestas Rápidas (FAQ)

Which is more intelligent, Claude 3.5 Haiku or Claude 3 Haiku?

Claude 3.5 Haiku is more intelligent. It scores 36 compared with 33 on the composite Intelligence Index.

Which model is faster?

Claude 3.5 Haiku is faster, generating 130 tokens per second compared with 125 tokens per second.

Which model is cheaper to run?

Claude 3 Haiku is cheaper at $0.19 per 1M tokens blended, compared with $0.62 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude 3 Haiku has lower latency, with a time to first token of 0.35s compared with 0.38s.

Veredicto

Tanto Claude 3.5 Haiku (Ideal para flujos de trabajo agénticos autónomos, llamada a herramientas y automatización compleja, sistemas RAG empresariales y automatización mediante API.) como Claude 3 Haiku (Ideal para interacción en tiempo real, baja latencia y enrutamiento de alto volumen, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Claude 3.5 Haiku lidera en inteligencia general y programación, Claude 3.5 Haiku ofrece mayor velocidad de generación de tokens y Claude 3 Haiku resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Claude 3.5 Haiku o Claude 3 Haiku?+

En las pruebas de inteligencia compuesta y resolución de código, Claude 3.5 Haiku obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Claude 3.5 Haiku frente a Claude 3 Haiku?+

Claude 3.5 Haiku cuesta $0.80 / $4.00 por millón de tokens de entrada/salida, mientras que Claude 3 Haiku cuesta $0.25 / $1.25. En costo combinado, Claude 3 Haiku es la opción más económica.

¿Qué modelo tiene mayor ventana de contexto y menor latencia?+

Claude 3.5 Haiku cuenta con 200K tokens de contexto frente a 200K tokens de Claude 3 Haiku. En velocidad de inferencia, Claude 3.5 Haiku ofrece un rendimiento superior.

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)

Característica	Claude 3.5 Haiku	Claude 3 Haiku
Official API Model ID (SDK)	claude-3-5-haiku-20241101	claude-3-haiku-20240301
API Protocol	Anthropic Messages API + AWS Bedrock + Vertex AI	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2024-11	2024-03
Knowledge Cutoff	July 2024	August 2023
Architecture	Optimized Lightweight Transformer	Compact High-Throughput Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 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)	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	$0.08/1M cached read (90% off); 5-min default & 1-hour extended TTL	$0.025/1M 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 Citations + Code Execution Tool + MCP Connectors	Native Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning Support	Custom Model Tuning via Amazon Bedrock & Prompt Distillation	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	Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated	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

Claude 3.5 Haiku vs Claude 3 Haiku

Cambia y Compara Cualquier Modelo

Claude 3.5 Haiku

Claude 3 Haiku

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

Claude 3.5 Haiku · Strengths & Key Advantages

Considerations & Trade-offs

Claude 3 Haiku · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

Claude 3.5 Haiku vs Claude 3 Haiku: Respuestas Rápidas (FAQ)

Veredicto

Preguntas frecuentes

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