Head-to-Head Model Comparison

GPT-5.1 vs Claude Opus 4.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

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GPT-5.1Profile

Claude Opus 4.5Profile

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OpenAI

GPT-5.1

Amiral Gemisi Öncü Model

OpenAI tarafından geliştirilen GPT-5.1; öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları için tasarlanmış olup 400K bağlam penceresi, 130 token/sn hız, 60/100 zeka indeksi ve 1M token başına $1.25/$10 fiyatlan

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

Amiral Gemisi Öncü Model

Anthropic tarafından geliştirilen Claude Opus 4.5; öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları için tasarlanmış olup 200K bağlam penceresi, 62 token/sn hız, 63/100 zeka indeksi ve 1M token başına $5/$25 f

Intelligence Index63 / 100

Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

77.2%

Bir Bakışta Temel Farklar

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

Hangi Alanda Kim Kazanıyor?

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

Doğrulanmış Benchmark Puanları

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

Gecikme Süresi ve Yanıt Hızı

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

Gerçek Zamanlı Token Maliyet Simülatörü

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

400K bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 74.9% · GPQA Diamond 72.1%)
Sadece 1200 ms ilk token gecikmesi (TTFT) ile saniyede 130 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $1.25/$10 fiyatlandırma)

Considerations & Trade-offs

Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

Claude Opus 4.5 · Strengths & Key Advantages

200K bağlam penceresi ve yanıt başına maksimum 64K çıktı tokenı kapasitesi (SWE-bench Verified 77.2% · GPQA Diamond 74.8%)
Sadece 2100 ms ilk token gecikmesi (TTFT) ile saniyede 62 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $5/$25 fiyatlandırma)

Considerations & Trade-offs

Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
Yüksek hacimli üretim trafiğinde maliyetleri optimize etmek için Prompt Caching ve Batch API kullanımı önerilir

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

Teknik Özellikler

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: Hızlı Yanıtlar (SSS)

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.

Sonuç

Hem GPT-5.1 (öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Claude Opus 4.5 (öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Claude Opus 4.5 karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, GPT-5.1 daha yüksek üretim hızı sağlar; GPT-5.1 ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için GPT-5.1 mi yoksa Claude Opus 4.5 mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Claude Opus 4.5 önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

GPT-5.1 ve Claude Opus 4.5 API fiyatları nasıl karşılaştırılır?+

GPT-5.1 1M giriş/çıkış tokeni başına $1.25 / $10.00 ücretlendirilirken, Claude Opus 4.5 $5.00 / $25.00 seviyesindedir. Karma maliyette GPT-5.1 daha avantajlıdır.

Hangi modelin bağlam penceresi daha geniş ve hızı daha yüksek?+

GPT-5.1 400K token bağlam penceresi sunarken Claude Opus 4.5 200K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise GPT-5.1 öndedir.

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

İstediğiniz Modelleri Seçin ve Karşılaştırın

GPT-5.1

Claude Opus 4.5

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

GPT-5.1 · Strengths & Key Advantages

Considerations & Trade-offs

Claude Opus 4.5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

GPT-5.1 vs Claude Opus 4.5: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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