Head-to-Head Model Comparison

GPT-5.1 vs Claude Opus 4.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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

Cambia e Confronta Qualsiasi Modello

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

GPT-5.1Profile

Claude Opus 4.5Profile

Multi-Model Arena Stack:

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Popular Matchups:

OpenAI

GPT-5.1

Modello Ammiraglia di Frontiera

GPT-5.1 di OpenAI 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 400K, velocità di 130 token/s, indice di intelligenza di 60/100 e

Intelligence Index60 / 100

Input Token:

$1.25 / 1M

Output Token:

$10.00 / 1M

Context Window:

400K tokens

SWE-bench Verified:

74.9%

Anthropic

Claude Opus 4.5

Modello Ammiraglia di Frontiera

Claude Opus 4.5 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 200K, velocità di 62 token/s, indice di intelligenza di

Intelligence Index63 / 100

Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

77.2%

Differenze Chiave a Colpo d’Occhio

GPT-5.1 is 2.8x cheaper for API usage (input + output tokens combined).
GPT-5.1 has a larger context window (400K vs 200K tokens).
GPT-5.1 is faster at 130 tok/s vs 62 tok/s.
Claude Opus 4.5 leads on SWE-bench coding (77.2% vs 74.9%).

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

Feature	GPT-5.1	Claude Opus 4.5
Intelligence Index Composite reasoning & knowledge score (0-100)	60	63
Provider	OpenAI	Anthropic
Input Price Cost per million input tokens	$1.25 / 1M	$5.00 / 1M
Output Price Cost per million output tokens	$10.00 / 1M	$25.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.34 / 1M	$3.85 / 1M
Context Window Maximum input + output tokens	400K tokens~600 A4 pages of text	200K tokens~300 A4 pages of text
Max Output Tokens Per single request	128K	64K
Throughput Speed Tokens generated per second	130 tok/s	62 tok/s
SWE-bench Verified Real-world software engineering	74.9%	77.2%
GPQA Diamond Graduate-level reasoning	72.1%	74.8%
Cached Input Price Prompt caching discount per 1M tokens	$0.13 / 1M	$0.50 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Claude Opus 4.5

+2.3% SWE-bench lead

Cost

GPT-5.1

2.8x cheaper monthly runtime

Speed

GPT-5.1

+110% faster generation

Context

GPT-5.1

400K tokens window

Punteggi Benchmark Verificati

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

GPT-5.1Claude Opus 4.5

SWE-bench Verified (Autonomous Coding)

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

74.9%vs77.2%

GPQA Diamond (Doctorate-Level Science & Math)

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

72.1%vs74.8%

MMLU-Pro (Multi-task Language Understanding)

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

86.1%vs87.3%

LMSYS Chatbot Arena Elo

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

1368ptsvs1376pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

12.1%vs13.7%

Terminal-Bench (Agentic Coding & Terminal Use)

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

46.7%vs49.2%

SciCode (Scientific Computing)

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

43.2%vs45.6%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

71.8%vs74.1%

AIME (Advanced Math Competition)

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

91.2%vs88.5%

Long-Context Reasoning

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

77.9%vs79.4%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

130 tok/s vs62 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

GPT-5.11.20s

Claude Opus 4.52.10s

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

GPT-5.15.05s

Claude Opus 4.510.16s

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)

GPT-5.1 Monthly API Bill

$11.06 / month

$1.25/1M in · $10/1M out

Claude Opus 4.5 Monthly API Bill

$30.75 / month

$5/1M in · $25/1M out

GPT-5.1 saves approximately $19.69 / month (64%) under this workload.2.8x Savings

GPT-5.1 · Strengths & Key Advantages

Finestra di contesto da 400K con capacità massima di output fino a 128K token (SWE-bench Verified 74.9% · GPQA Diamond 72.1%)
Throughput elevato di 130 token/secondo con latenza al primo token (TTFT) di soli 1200 ms
Economia API competitiva ($1.25/$10 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

Claude Opus 4.5 · Strengths & Key Advantages

Finestra di contesto da 200K con capacità massima di output fino a 64K token (SWE-bench Verified 77.2% · GPQA Diamond 74.8%)
Throughput elevato di 62 token/secondo con latenza al primo token (TTFT) di soli 2100 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	GPT-5.1	Claude Opus 4.5
Cost per Task Estimated USD to finish one task	$1.45	$5.86
Output Tokens / Task Tokens generated per task	52K	73K
Reasoning Tokens / Task Thinking tokens burned per task	28K	43K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-5.1	Claude Opus 4.5
Official API Model ID (SDK)	gpt-5-1	claude-opus-4-5-20251101
API Protocol	OpenAI Responses API & Chat Completions v1	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2025-11	2025-11
Knowledge Cutoff	October 2024	March 2025
Architecture	Unified Reasoning (Instant & Thinking)	Hybrid Reasoning
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 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)	Flat rate ($1.25/1M in) across full 400K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Automatic prefix caching at $0.125/1M (no extra cache-write fee)	$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 tool + Hosted Code Interpreter & File Search RAG	Native Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning Support	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)	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	OpenAI Preparedness Framework Audited & System Card Published	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

GPT-5.1 vs Claude Opus 4.5: Risposte Rapide (FAQ)

Which is more intelligent, GPT-5.1 or Claude Opus 4.5?

Claude Opus 4.5 is more intelligent. It scores 63 compared with 60 on the composite Intelligence Index.

Which model is faster?

GPT-5.1 is faster, generating 130 tokens per second compared with 62 tokens per second.

Which model is cheaper to run?

GPT-5.1 is cheaper at $1.34 per 1M tokens blended, compared with $3.85 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-5.1 has lower latency, with a time to first token of 1.20s compared with 2.10s.

Which model has a larger context window?

GPT-5.1 has a larger context window, supporting 400K tokens compared with 200K tokens.

Verdetto

Sia GPT-5.1 (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 4.5 (Ideale per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Claude Opus 4.5 guida nei benchmark di ragionamento e programmazione, GPT-5.1 garantisce una generazione più rapida e GPT-5.1 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, GPT-5.1 o Claude Opus 4.5?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Claude Opus 4.5. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra GPT-5.1 e Claude Opus 4.5?+

GPT-5.1 costa $1.25 / $10.00 per milione di token di input/output, mentre Claude Opus 4.5 costa $5.00 / $25.00. Nel costo combinato, GPT-5.1 risulta più economico.

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

GPT-5.1 supporta 400K token di contesto contro 200K token di Claude Opus 4.5, mentre GPT-5.1 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 & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

GPT-5.1 vs Claude Opus 4.5

Cambia e Confronta Qualsiasi Modello

GPT-5.1

Claude Opus 4.5

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

GPT-5.1 · Strengths & Key Advantages

Considerations & Trade-offs

Claude Opus 4.5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

GPT-5.1 vs Claude Opus 4.5: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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