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Head-to-Head Model Comparison

Claude 3 Haiku vs Gemini 1.5 Flash

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
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Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Claude 3 Haiku vs Gemini 1.5 Flash: Benchmarks, Pricing & Speed Comparison

Claude 3 Haiku di Anthropic e Gemini 1.5 Flash di Google sono due modelli di IA di riferimento. Claude 3 Haiku offre una finestra di contesto di 200K token a $0.25/$1.25 per milione di token, mentre Gemini 1.5 Flash mette a disposizione 1.05M token di contesto a $0.07/$0.30 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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Anthropic

Claude 3 Haiku

Inferenza Ultra-Rapida

Claude 3 Haiku 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 125 token/s, indice di intelligenza di 33/100 e tari

Intelligence Index33 / 100
Input Token:

$0.25 / 1M

Output Token:

$1.25 / 1M

Context Window:

200K tokens

SWE-bench Verified:

10.5%

Google

Gemini 1.5 Flash

Inferenza Ultra-Rapida

Gemini 1.5 Flash di Google 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 1.0M, velocità di 180 token/s, indice di intelligenza di 38/100 e tarif

Intelligence Index38 / 100
Input Token:

$0.07 / 1M

Output Token:

$0.30 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

20%

Differenze Chiave a Colpo d’Occhio

  • Gemini 1.5 Flash is 3.7x cheaper for API usage (input + output tokens combined).
  • Gemini 1.5 Flash has a larger context window (1M vs 200K tokens).
  • Gemini 1.5 Flash is faster at 180 tok/s vs 125 tok/s.
  • Gemini 1.5 Flash leads on SWE-bench coding (20.0% vs 10.5%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureClaude 3 HaikuGemini 1.5 Flash
Intelligence Index
Composite reasoning & knowledge score (0-100)
3338
Provider
AnthropicGoogle
Input Price
Cost per million input tokens
$0.25 / 1M$0.07 / 1M
Output Price
Cost per million output tokens
$1.25 / 1M$0.30 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.19 / 1M$0.06 / 1M
Context Window
Maximum input + output tokens
200K tokens~300 A4 pages of text1.05M tokens~1,573 A4 pages of text
Max Output Tokens
Per single request
4K8K
Throughput Speed
Tokens generated per second
125 tok/s180 tok/s
SWE-bench Verified
Real-world software engineering
10.5%20%
GPQA Diamond
Graduate-level reasoning
33%42.1%
Cached Input Price
Prompt caching discount per 1M tokens
$0.03 / 1M$0.02 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework
Coding
Gemini 1.5 Flash
+9.5% SWE-bench lead
Cost
Gemini 1.5 Flash
3.7x cheaper monthly runtime
Speed
Gemini 1.5 Flash
+44% faster generation
Context
Gemini 1.5 Flash
1.05M tokens window

Punteggi Benchmark Verificati

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

Claude 3 HaikuGemini 1.5 Flash
SWE-bench Verified (Autonomous Coding)

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

10.5%vs20%
GPQA Diamond (Doctorate-Level Science & Math)

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

33%vs42.1%
MMLU-Pro (Multi-task Language Understanding)

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

61.2%vs69.8%
LMSYS Chatbot Arena Elo

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

1175ptsvs1228pts
Long-Context Reasoning

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

N/Avs82.5%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

125 tok/s vs180 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
Claude 3 Haiku0.35s
Gemini 1.5 Flash0.32s
Est. End-to-End Response (500 tokens)TTFT + generation time
Claude 3 Haiku4.35s
Gemini 1.5 Flash3.10s

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)
Claude 3 Haiku Monthly API Bill
$1.54 / month
$0.25/1M in · $1.25/1M out
Gemini 1.5 Flash Monthly API Bill
$0.41 / month
$0.075/1M in · $0.3/1M out
Gemini 1.5 Flash saves approximately $1.13 / month (73%) under this workload.3.7x Savings

Claude 3 Haiku · Strengths & Key Advantages

  • Finestra di contesto da 200K con capacità massima di output fino a 4K token (SWE-bench Verified 10.5% · GPQA Diamond 33%)
  • Throughput elevato di 125 token/secondo con latenza al primo token (TTFT) di soli 350 ms
  • Economia API competitiva ($0.25/$1.25 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

Gemini 1.5 Flash · Strengths & Key Advantages

  • Finestra di contesto da 1.0M con capacità massima di output fino a 8K token (SWE-bench Verified 20% · GPQA Diamond 42.1%)
  • Throughput elevato di 180 token/secondo con latenza al primo token (TTFT) di soli 320 ms
  • Economia API competitiva ($0.075/$0.3 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.

MetricClaude 3 HaikuGemini 1.5 Flash
Cost per Task
Estimated USD to finish one task
$0.20$0.20
Output Tokens / Task
Tokens generated per task
24K24K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureClaude 3 HaikuGemini 1.5 Flash
Official API Model ID (SDK)claude-3-haiku-20240301models/gemini-1-5-flash
API ProtocolAnthropic Messages API + AWS Bedrock + Vertex AIGoogle Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date2024-032024-05
Knowledge CutoffAugust 2023May 2024
ArchitectureCompact High-Throughput TransformerDistilled Sparse MoE Multimodal
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Standard rate up to 200K tokens; 2x input/output tier above 200K tokensStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL$0.025/1M cached read (90% off); 5-min default & 1-hour extended TTLImplicit + Explicit Context Caching at $0.01875/1M with configurable 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 Citations + Code Execution Tool + MCP ConnectorsBuilt-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning SupportCustom Model Tuning via Amazon Bedrock & Prompt DistillationVertex AI Supervised Adapter Tuning & Context 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) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)
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 ClassificationAnthropic RSP ASL-2 / ASL-3 Constitutional Safety EvaluatedGoogle DeepMind Frontier Safety Framework Verified
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, audio, video
Output Modalitiestexttext

Claude 3 Haiku vs Gemini 1.5 Flash: Risposte Rapide (FAQ)

Which is more intelligent, Claude 3 Haiku or Gemini 1.5 Flash?

Gemini 1.5 Flash is more intelligent. It scores 38 compared with 33 on the composite Intelligence Index.

Which model is faster?

Gemini 1.5 Flash is faster, generating 180 tokens per second compared with 125 tokens per second.

Which model is cheaper to run?

Gemini 1.5 Flash is cheaper at $0.06 per 1M tokens blended, compared with $0.19 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini 1.5 Flash has lower latency, with a time to first token of 0.32s compared with 0.35s.

Which model has a larger context window?

Gemini 1.5 Flash has a larger context window, supporting 1.05M tokens compared with 200K tokens.

Verdetto

Sia Claude 3 Haiku (Ideale per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, sistemi RAG aziendali e integrazioni API scalabili.) sia Gemini 1.5 Flash (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: Gemini 1.5 Flash guida nei benchmark di ragionamento e programmazione, Gemini 1.5 Flash garantisce una generazione più rapida e Gemini 1.5 Flash offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Claude 3 Haiku o Gemini 1.5 Flash?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Gemini 1.5 Flash. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Claude 3 Haiku e Gemini 1.5 Flash?+

Claude 3 Haiku costa $0.25 / $1.25 per milione di token di input/output, mentre Gemini 1.5 Flash costa $0.07 / $0.30. Nel costo combinato, Gemini 1.5 Flash risulta più economico.

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

Claude 3 Haiku supporta 200K token di contesto contro 1.05M token di Gemini 1.5 Flash, mentre Gemini 1.5 Flash 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 Anthropic e Google, schede di sistema e benchmark indipendenti (2026).