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Head-to-Head Model Comparison

Claude Opus 4.1 vs Claude Opus 4

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 Opus 4.1 vs Claude Opus 4: Benchmarks, Pricing & Speed Comparison

Claude Opus 4.1 di Anthropic e Claude Opus 4 di Anthropic sono due modelli di IA di riferimento. Claude Opus 4.1 offre una finestra di contesto di 200K token a $15.00/$75.00 per milione di token, mentre Claude Opus 4 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 Opus 4.1

IA Agentica e Strumenti Autonomi

Claude Opus 4.1 di Anthropic è un modello di IA progettato per i workflow agentici autonomi, il tool calling e l’automazione multi-step, con finestra di contesto da 200K, velocità di 46 token/s, indice di intelligenza di 62/100 e tariffa di

Intelligence Index62 / 100
Input Token:

$15.00 / 1M

Output Token:

$75.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

74.5%

Anthropic

Claude Opus 4

Motore di Ragionamento Profondo

Claude Opus 4 di Anthropic è un modello di IA progettato per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, con finestra di contesto da 200K, velocità di 42 token/s, indice di intelligenza di 61/100 e tarif

Intelligence Index61 / 100
Input Token:

$15.00 / 1M

Output Token:

$75.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

72.5%

Differenze Chiave a Colpo d’Occhio

  • Both models cost the same under this workload — choose on capability, not price.
  • Claude Opus 4.1 is faster at 46 tok/s vs 42 tok/s.
  • Claude Opus 4.1 leads on SWE-bench coding (74.5% vs 72.5%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureClaude Opus 4.1Claude Opus 4
Intelligence Index
Composite reasoning & knowledge score (0-100)
6261
Provider
AnthropicAnthropic
Input Price
Cost per million input tokens
$15.00 / 1M$15.00 / 1M
Output Price
Cost per million output tokens
$75.00 / 1M$75.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$11.55 / 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
32K32K
Throughput Speed
Tokens generated per second
46 tok/s42 tok/s
SWE-bench Verified
Real-world software engineering
74.5%72.5%
GPQA Diamond
Graduate-level reasoning
74.4%73.8%
Cached Input Price
Prompt caching discount per 1M tokens
$1.50 / 1M$1.50 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework
Coding
Claude Opus 4.1
+2.0% SWE-bench lead
Cost
Tied
Identical monthly runtime cost
Speed
Claude Opus 4.1
+10% faster generation
Context
Tied
200K tokens window

Punteggi Benchmark Verificati

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

Claude Opus 4.1Claude Opus 4
SWE-bench Verified (Autonomous Coding)

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

74.5%vs72.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

74.4%vs73.8%
MMLU-Pro (Multi-task Language Understanding)

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

86.8%vs86.1%
LMSYS Chatbot Arena Elo

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

1372ptsvs1368pts
Terminal-Bench (Agentic Coding & Terminal Use)

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

45%vs43.2%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

46 tok/s vs42 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 Opus 4.11.70s
Claude Opus 41.80s
Est. End-to-End Response (500 tokens)TTFT + generation time
Claude Opus 4.112.57s
Claude Opus 413.70s

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 Opus 4.1 Monthly API Bill
$92.25 / month
$15/1M in · $75/1M out
Claude Opus 4 Monthly API Bill
$92.25 / month
$15/1M in · $75/1M out
These models cost the same under this workload — no savings either way.Break-even

Claude Opus 4.1 · Strengths & Key Advantages

  • Finestra di contesto da 200K con capacità massima di output fino a 32K token (SWE-bench Verified 74.5% · GPQA Diamond 74.4%)
  • Throughput elevato di 46 token/secondo con latenza al primo token (TTFT) di soli 1700 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

Claude Opus 4 · Strengths & Key Advantages

  • Finestra di contesto da 200K con capacità massima di output fino a 32K token (SWE-bench Verified 72.5% · GPQA Diamond 73.8%)
  • Throughput elevato di 42 token/secondo con latenza al primo token (TTFT) di soli 1800 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 Opus 4.1Claude Opus 4
Cost per Task
Estimated USD to finish one task
$16.46$16.46
Output Tokens / Task
Tokens generated per task
72K72K
Reasoning Tokens / Task
Thinking tokens burned per task
37K37K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureClaude Opus 4.1Claude Opus 4
Official API Model ID (SDK)claude-opus-4-1-20250801claude-opus-4-20250501
API ProtocolAnthropic Messages API + AWS Bedrock + Vertex AIAnthropic Messages API + AWS Bedrock + Vertex AI
Release Date2025-082025-05
Knowledge CutoffMarch 2025March 2025
ArchitectureRefined Frontier Reasoning TransformerDense Frontier Reasoning 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$1.5/1M 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 Opus 4.1 vs Claude Opus 4: Risposte Rapide (FAQ)

Which is more intelligent, Claude Opus 4.1 or Claude Opus 4?

Claude Opus 4.1 is more intelligent. It scores 62 compared with 61 on the composite Intelligence Index.

Which model is faster?

Claude Opus 4.1 is faster, generating 46 tokens per second compared with 42 tokens per second.

Which model has lower latency?

Claude Opus 4.1 has lower latency, with a time to first token of 1.70s compared with 1.80s.

Verdetto

Sia Claude Opus 4.1 (Ideale per i workflow agentici autonomi, il tool calling e l’automazione multi-step, sistemi RAG aziendali e integrazioni API scalabili.) sia Claude Opus 4 (Ideale per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Claude Opus 4.1 guida nei benchmark di ragionamento e programmazione, Claude Opus 4.1 garantisce una generazione più rapida e Claude Opus 4.1 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Claude Opus 4.1 o Claude Opus 4?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Claude Opus 4.1. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Claude Opus 4.1 e Claude Opus 4?+

Claude Opus 4.1 costa $15.00 / $75.00 per milione di token di input/output, mentre Claude Opus 4 costa $15.00 / $75.00. Nel costo combinato, Claude Opus 4.1 risulta più economico.

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

Claude Opus 4.1 supporta 200K token di contesto contro 200K token di Claude Opus 4, mentre Claude Opus 4.1 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).