Head-to-Head Model Comparison

GPT-5.1 Codex Max vs Claude Sonnet 5.5

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-5.1 Codex MaxProfile

Claude Sonnet 5.5Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

OpenAI

GPT-5.1 Codex Max

Modello Ammiraglia di Frontiera

GPT-5.1 Codex Max 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 95 token/s, indice di intelligenza di

Intelligence Index62 / 100

Input Token:

$1.75 / 1M

Output Token:

$14.00 / 1M

Context Window:

400K tokens

SWE-bench Verified:

78.2%

Anthropic

Claude Sonnet 5.5

Modello Ammiraglia di Frontiera

Claude Sonnet 5.5 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 1M, velocità di 105 token/s, indice di intelligenza d

Intelligence Index78 / 100

Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

82.9%

Differenze Chiave a Colpo d’Occhio

Claude Sonnet 5.5 is 1.3x cheaper for API usage (input + output tokens combined).
Claude Sonnet 5.5 has a larger context window (1M vs 400K tokens).
Claude Sonnet 5.5 is faster at 105 tok/s vs 95 tok/s.
Claude Sonnet 5.5 leads on SWE-bench coding (82.9% vs 78.2%).

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

Feature	GPT-5.1 Codex Max	Claude Sonnet 5.5
Intelligence Index Composite reasoning & knowledge score (0-100)	62	78
Provider	OpenAI	Anthropic
Input Price Cost per million input tokens	$1.75 / 1M	$2.00 / 1M
Output Price Cost per million output tokens	$14.00 / 1M	$10.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.87 / 1M	$1.54 / 1M
Context Window Maximum input + output tokens	400K tokens~600 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	95 tok/s	105 tok/s
SWE-bench Verified Real-world software engineering	78.2%	82.9%
GPQA Diamond Graduate-level reasoning	80%	79.4%
Cached Input Price Prompt caching discount per 1M tokens	$0.17 / 1M	$0.20 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Claude Sonnet 5.5

+4.7% SWE-bench lead

Cost

Claude Sonnet 5.5

1.3x cheaper monthly runtime

Speed

Claude Sonnet 5.5

+11% faster generation

Context

Claude Sonnet 5.5

1M tokens window

Punteggi Benchmark Verificati

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

GPT-5.1 Codex MaxClaude Sonnet 5.5

SWE-bench Verified (Autonomous Coding)

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

78.2%vs82.9%

GPQA Diamond (Doctorate-Level Science & Math)

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

80%vs79.4%

MMLU-Pro (Multi-task Language Understanding)

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

87.2%vs90.1%

LMSYS Chatbot Arena Elo

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

1378ptsvs1490pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

13.2%vsN/A

Terminal-Bench (Agentic Coding & Terminal Use)

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

54.5%vs58.9%

SciCode (Scientific Computing)

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

48.5%vsN/A

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

75.5%vsN/A

AIME (Advanced Math Competition)

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

92.6%vsN/A

Long-Context Reasoning

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

80%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

95 tok/s vs105 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-5.1 Codex Max1.70s

Claude Sonnet 5.50.55s

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

GPT-5.1 Codex Max6.96s

Claude Sonnet 5.55.31s

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 Codex Max Monthly API Bill

$15.49 / month

$1.75/1M in · $14/1M out

Claude Sonnet 5.5 Monthly API Bill

$12.30 / month

$2/1M in · $10/1M out

Claude Sonnet 5.5 saves approximately $3.19 / month (21%) under this workload.1.3x Savings

GPT-5.1 Codex Max · Strengths & Key Advantages

Finestra di contesto da 400K con capacità massima di output fino a 128K token (SWE-bench Verified 78.2% · GPQA Diamond 80%)
Throughput elevato di 95 token/secondo con latenza al primo token (TTFT) di soli 1700 ms
Economia API competitiva ($1.75/$14 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 Sonnet 5.5 · Strengths & Key Advantages

Finestra di contesto da 1M con capacità massima di output fino a 128K token (SWE-bench Verified 82.9% · GPQA Diamond 79.4%)
Throughput elevato di 105 token/secondo con latenza al primo token (TTFT) di soli 550 ms
Economia API competitiva ($2/$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
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 Codex Max	Claude Sonnet 5.5
Cost per Task Estimated USD to finish one task	$2.40	$3.29
Output Tokens / Task Tokens generated per task	62K	72K
Reasoning Tokens / Task Thinking tokens burned per task	36K	37K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-5.1 Codex Max	Claude Sonnet 5.5
Official API Model ID (SDK)	gpt-5-1-codex-max	claude-sonnet-5-5-20260901
API Protocol	OpenAI Responses API & Chat Completions v1	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2025-11	2026-09
Knowledge Cutoff	October 2024	June 2026
Architecture	Maximum-capability code-specialised reasoning model	Adaptive Frontier Multimodal Transformer
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) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($1.75/1M 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 $0.175/1M (no extra cache-write fee)	$0.2/1M 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 Codex Max vs Claude Sonnet 5.5: Risposte Rapide (FAQ)

Which is more intelligent, GPT-5.1 Codex Max or Claude Sonnet 5.5?

Claude Sonnet 5.5 is more intelligent. It scores 78 compared with 62 on the composite Intelligence Index.

Which model is faster?

Claude Sonnet 5.5 is faster, generating 105 tokens per second compared with 95 tokens per second.

Which model is cheaper to run?

Claude Sonnet 5.5 is cheaper at $1.54 per 1M tokens blended, compared with $1.87 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude Sonnet 5.5 has lower latency, with a time to first token of 0.55s compared with 1.70s.

Which model has a larger context window?

Claude Sonnet 5.5 has a larger context window, supporting 1M tokens compared with 400K tokens.

Verdetto

Sia GPT-5.1 Codex Max (Ideale per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, sistemi RAG aziendali e integrazioni API scalabili.) sia Claude Sonnet 5.5 (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 Sonnet 5.5 guida nei benchmark di ragionamento e programmazione, Claude Sonnet 5.5 garantisce una generazione più rapida e Claude Sonnet 5.5 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, GPT-5.1 Codex Max o Claude Sonnet 5.5?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Claude Sonnet 5.5. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra GPT-5.1 Codex Max e Claude Sonnet 5.5?+

GPT-5.1 Codex Max costa $1.75 / $14.00 per milione di token di input/output, mentre Claude Sonnet 5.5 costa $2.00 / $10.00. Nel costo combinato, Claude Sonnet 5.5 risulta più economico.

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

GPT-5.1 Codex Max supporta 400K token di contesto contro 1M token di Claude Sonnet 5.5, mentre Claude Sonnet 5.5 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 Codex Max vs Claude Sonnet 5.5

Cambia e Confronta Qualsiasi Modello

GPT-5.1 Codex Max

Claude Sonnet 5.5

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

GPT-5.1 Codex Max · Strengths & Key Advantages

Considerations & Trade-offs

Claude Sonnet 5.5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

GPT-5.1 Codex Max vs Claude Sonnet 5.5: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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