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Head-to-Head Model Comparison

Claude 3.5 Sonnet vs Claude 3 Opus

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
Claude 3.5 Sonnet vs Claude 3 Opus: Benchmarks, Pricing & Speed Comparison

Claude 3.5 Sonnet di Anthropic e Claude 3 Opus di Anthropic sono due modelli di IA di riferimento. Claude 3.5 Sonnet offre una finestra di contesto di 200K token a $3.00/$15.00 per milione di token, mentre Claude 3 Opus mette a disposizione 200K token di contesto a $15.00/$75.00 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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Anthropic

Claude 3.5 Sonnet

Leader in Programmazione e Codice

Claude 3.5 Sonnet di Anthropic è un modello di IA progettato per l’ingegneria del software autonoma, il refactoring multi-file e il debug avanzato, con finestra di contesto da 200K, velocità di 80 token/s, indice di intelligenza di 50/100 e

Intelligence Index50 / 100
Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

65%

Anthropic

Claude 3 Opus

Modello di Generazione Classica

Claude 3 Opus di Anthropic è un modello di IA progettato per gli assistenti conversazionali, la sintesi documentale e i flussi di lavoro aziendali, con finestra di contesto da 200K, velocità di 30 token/s, indice di intelligenza di 44/100 e

Intelligence Index44 / 100
Input Token:

$15.00 / 1M

Output Token:

$75.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

32.2%

Differenze Chiave a Colpo d’Occhio

  • Claude 3.5 Sonnet is 5.0x cheaper for API usage (input + output tokens combined).
  • Claude 3.5 Sonnet is faster at 80 tok/s vs 30 tok/s.
  • Claude 3.5 Sonnet leads on SWE-bench coding (65.0% vs 32.2%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureClaude 3.5 SonnetClaude 3 Opus
Intelligence Index
Composite reasoning & knowledge score (0-100)
5044
Provider
AnthropicAnthropic
Input Price
Cost per million input tokens
$3.00 / 1M$15.00 / 1M
Output Price
Cost per million output tokens
$15.00 / 1M$75.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$2.31 / 1M$11.55 / 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
8K4K
Throughput Speed
Tokens generated per second
80 tok/s30 tok/s
SWE-bench Verified
Real-world software engineering
65%32.2%
GPQA Diamond
Graduate-level reasoning
59.4%50.4%
Cached Input Price
Prompt caching discount per 1M tokens
$0.30 / 1M$1.50 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework
Coding
Claude 3.5 Sonnet
+32.8% SWE-bench lead
Cost
Claude 3.5 Sonnet
5.0x cheaper monthly runtime
Speed
Claude 3.5 Sonnet
+167% faster generation
Context
Tied
200K tokens window

Punteggi Benchmark Verificati

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

Claude 3.5 SonnetClaude 3 Opus
SWE-bench Verified (Autonomous Coding)

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

65%vs32.2%
GPQA Diamond (Doctorate-Level Science & Math)

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

59.4%vs50.4%
MMLU-Pro (Multi-task Language Understanding)

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

78%vs74%
LMSYS Chatbot Arena Elo

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

1320ptsvs1262pts
Terminal-Bench (Agentic Coding & Terminal Use)

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

38%vsN/A
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

62%vsN/A
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

80 tok/s vs30 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 3.5 Sonnet0.48s
Claude 3 Opus1.20s
Est. End-to-End Response (500 tokens)TTFT + generation time
Claude 3.5 Sonnet6.73s
Claude 3 Opus17.87s

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 3.5 Sonnet Monthly API Bill
$18.45 / month
$3/1M in · $15/1M out
Claude 3 Opus Monthly API Bill
$92.25 / month
$15/1M in · $75/1M out
Claude 3.5 Sonnet saves approximately $73.80 / month (80%) under this workload.5.0x Savings

Claude 3.5 Sonnet · Strengths & Key Advantages

  • Finestra di contesto da 200K con capacità massima di output fino a 8K token (SWE-bench Verified 65% · GPQA Diamond 59.4%)
  • Throughput elevato di 80 token/secondo con latenza al primo token (TTFT) di soli 480 ms
  • Economia API competitiva ($3/$15 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
  • Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API

Claude 3 Opus · Strengths & Key Advantages

  • Finestra di contesto da 200K con capacità massima di output fino a 4K token (SWE-bench Verified 32.2% · GPQA Diamond 50.4%)
  • Throughput elevato di 30 token/secondo con latenza al primo token (TTFT) di soli 1200 ms
  • Economia API competitiva ($15/$75 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
  • Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API

Token Use & Task Economics

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

MetricClaude 3.5 SonnetClaude 3 Opus
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 3.5 SonnetClaude 3 Opus
Official API Model ID (SDK)claude-3-5-sonnet-20240601claude-3-opus-20240301
API ProtocolAnthropic Messages API + AWS Bedrock + Vertex AIAnthropic Messages API + AWS Bedrock + Vertex AI
Release Date2024-062024-03
Knowledge CutoffApril 2024August 2023
ArchitectureNext-Gen Multimodal Hybrid TransformerFrontier Dense Multimodal Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 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)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$0.3/1M cached read (90% off); 5-min default & 1-hour extended TTL$1.5/1M 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 Citations + Code Execution Tool + MCP ConnectorsNative Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning SupportCustom Model Tuning via Amazon Bedrock & Prompt DistillationCustom 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 ClassificationAnthropic RSP ASL-2 / ASL-3 Constitutional Safety EvaluatedAnthropic 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

Claude 3.5 Sonnet vs Claude 3 Opus: Risposte Rapide (FAQ)

Which is more intelligent, Claude 3.5 Sonnet or Claude 3 Opus?

Claude 3.5 Sonnet is more intelligent. It scores 50 compared with 44 on the composite Intelligence Index.

Which model is faster?

Claude 3.5 Sonnet is faster, generating 80 tokens per second compared with 30 tokens per second.

Which model is cheaper to run?

Claude 3.5 Sonnet is cheaper at $2.31 per 1M tokens blended, compared with $11.55 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude 3.5 Sonnet has lower latency, with a time to first token of 0.48s compared with 1.20s.

Verdetto

Sia Claude 3.5 Sonnet (Ideale per l’ingegneria del software autonoma, il refactoring multi-file e il debug avanzato, sistemi RAG aziendali e integrazioni API scalabili.) sia Claude 3 Opus (Ideale per gli assistenti conversazionali, la sintesi documentale e i flussi di lavoro aziendali, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Claude 3.5 Sonnet guida nei benchmark di ragionamento e programmazione, Claude 3.5 Sonnet garantisce una generazione più rapida e Claude 3.5 Sonnet offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Claude 3.5 Sonnet o Claude 3 Opus?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Claude 3.5 Sonnet. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Claude 3.5 Sonnet e Claude 3 Opus?+

Claude 3.5 Sonnet costa $3.00 / $15.00 per milione di token di input/output, mentre Claude 3 Opus costa $15.00 / $75.00. Nel costo combinato, Claude 3.5 Sonnet risulta più economico.

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

Claude 3.5 Sonnet supporta 200K token di contesto contro 200K token di Claude 3 Opus, mentre Claude 3.5 Sonnet 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 Anthropic, schede di sistema e benchmark indipendenti (2026).