Head-to-Head Model Comparison

Claude Opus 4.7 vs Claude Opus 4.6

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale

Cambia e Confronta Qualsiasi Modello

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Claude Opus 4.7Profile

Claude Opus 4.6Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Anthropic

Claude Opus 4.7

Modello Ammiraglia di Frontiera

Claude Opus 4.7 di Anthropic è un modello di IA progettato per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, con finestra di contesto da 1M, velocità di 58 token/s, indice di intelligenza di 6

Intelligence Index66 / 100

Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

79.5%

Anthropic

Claude Opus 4.6

Motore di Ragionamento Profondo

Claude Opus 4.6 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 1M, velocità di 55 token/s, indice di intelligenza di 65/100 e tarif

Intelligence Index65 / 100

Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

78.4%

Differenze Chiave a Colpo d’Occhio

Both models cost the same under this workload — choose on capability, not price.
Claude Opus 4.7 is faster at 58 tok/s vs 55 tok/s.
Claude Opus 4.7 leads on SWE-bench coding (79.5% vs 78.4%).

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

Feature	Claude Opus 4.7	Claude Opus 4.6
Intelligence Index Composite reasoning & knowledge score (0-100)	66	65
Provider	Anthropic	Anthropic
Input Price Cost per million input tokens	$5.00 / 1M	$5.00 / 1M
Output Price Cost per million output tokens	$25.00 / 1M	$25.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$3.85 / 1M	$3.85 / 1M
Context Window Maximum input + output tokens	1M tokens~1,500 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	128K	128K
Throughput Speed Tokens generated per second	58 tok/s	55 tok/s
SWE-bench Verified Real-world software engineering	79.5%	78.4%
GPQA Diamond Graduate-level reasoning	77.8%	76.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.50 / 1M	$0.50 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Claude Opus 4.7

+1.1% SWE-bench lead

Cost

Tied

Identical monthly runtime cost

Speed

Claude Opus 4.7

+5% faster generation

Context

Tied

1M tokens window

Punteggi Benchmark Verificati

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

Claude Opus 4.7Claude Opus 4.6

SWE-bench Verified (Autonomous Coding)

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

79.5%vs78.4%

GPQA Diamond (Doctorate-Level Science & Math)

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

77.8%vs76.5%

MMLU-Pro (Multi-task Language Understanding)

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

89%vs88.2%

LMSYS Chatbot Arena Elo

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

1405ptsvs1395pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

52.8%vs51.4%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

58 tok/s vs55 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 4.71.85s

Claude Opus 4.61.90s

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

Claude Opus 4.710.47s

Claude Opus 4.610.99s

Simulatore Interattivo dei Costi Token

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 Opus 4.7 Monthly API Bill

$30.75 / month

$5/1M in · $25/1M out

Claude Opus 4.6 Monthly API Bill

$30.75 / month

$5/1M in · $25/1M out

These models cost the same under this workload — no savings either way.Break-even

Claude Opus 4.7 · Strengths & Key Advantages

Finestra di contesto da 1M con capacità massima di output fino a 128K token (SWE-bench Verified 79.5% · GPQA Diamond 77.8%)
Throughput elevato di 58 token/secondo con latenza al primo token (TTFT) di soli 1850 ms
Economia API competitiva ($5/$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
Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API

Claude Opus 4.6 · Strengths & Key Advantages

Finestra di contesto da 1M con capacità massima di output fino a 128K token (SWE-bench Verified 78.4% · GPQA Diamond 76.5%)
Throughput elevato di 55 token/secondo con latenza al primo token (TTFT) di soli 1900 ms
Economia API competitiva ($5/$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
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.

Metric	Claude Opus 4.7	Claude Opus 4.6
Cost per Task Estimated USD to finish one task	$5.49	$5.49
Output Tokens / Task Tokens generated per task	72K	72K
Reasoning Tokens / Task Thinking tokens burned per task	37K	37K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Claude Opus 4.7 vs Claude Opus 4.6: Risposte Rapide (FAQ)

Which is more intelligent, Claude Opus 4.7 or Claude Opus 4.6?

Claude Opus 4.7 is more intelligent. It scores 66 compared with 65 on the composite Intelligence Index.

Which model is faster?

Claude Opus 4.7 is faster, generating 58 tokens per second compared with 55 tokens per second.

Which model has lower latency?

Claude Opus 4.7 has lower latency, with a time to first token of 1.85s compared with 1.90s.

Verdetto

Sia Claude Opus 4.7 (Ideale per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, sistemi RAG aziendali e integrazioni API scalabili.) sia Claude Opus 4.6 (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 4.7 guida nei benchmark di ragionamento e programmazione, Claude Opus 4.7 garantisce una generazione più rapida e Claude Opus 4.7 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Claude Opus 4.7 o Claude Opus 4.6?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Claude Opus 4.7. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Claude Opus 4.7 e Claude Opus 4.6?+

Claude Opus 4.7 costa $5.00 / $25.00 per milione di token di input/output, mentre Claude Opus 4.6 costa $5.00 / $25.00. Nel costo combinato, Claude Opus 4.7 risulta più economico.

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

Claude Opus 4.7 supporta 1M token di contesto contro 1M token di Claude Opus 4.6, mentre Claude Opus 4.7 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 & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Feature	Claude Opus 4.7	Claude Opus 4.6
Official API Model ID (SDK)	claude-opus-4-7-20260401	claude-opus-4-6-20260201
API Protocol	Anthropic Messages API + AWS Bedrock + Vertex AI	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2026-04	2026-02
Knowledge Cutoff	February 2026	December 2025
Architecture	Adaptive Enterprise Reasoning Transformer	Megacontext Frontier Reasoning Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 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	$0.5/1M cached read (90% off); 5-min default & 1-hour extended TTL	$0.5/1M 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 Opus 4.7 vs Claude Opus 4.6

Cambia e Confronta Qualsiasi Modello

Claude Opus 4.7

Claude Opus 4.6

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Claude Opus 4.7 · Strengths & Key Advantages

Considerations & Trade-offs

Claude Opus 4.6 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Claude Opus 4.7 vs Claude Opus 4.6: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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