Head-to-Head Model Comparison

Claude Opus 4.8 vs GPT-5.5 Instant

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

İstediğiniz Modelleri Seçin ve Karşılaştırın

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

Claude Opus 4.8Profile

GPT-5.5 InstantProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Anthropic

Claude Opus 4.8

Amiral Gemisi Öncü Model

Anthropic tarafından geliştirilen Claude Opus 4.8; öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları için tasarlanmış olup 1M bağlam penceresi, 64 token/sn hız, 67/100 zeka indeksi ve 1M token başına $5/$25 fiy

Intelligence Index67 / 100

Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

80.8%

OpenAI

GPT-5.5 Instant

Hafif ve Ekonomik Model

OpenAI tarafından geliştirilen GPT-5.5 Instant; token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı için tasarlanmış olup 400K bağlam penceresi, 168 token/sn hız, 65/100 zeka indeksi ve 1M token başına $0.75/$6 fiyatlandırma

Intelligence Index65 / 100

Input Token:

$0.75 / 1M

Output Token:

$6.00 / 1M

Context Window:

400K tokens

SWE-bench Verified:

74.5%

Bir Bakışta Temel Farklar

GPT-5.5 Instant is 4.6x cheaper for API usage (input + output tokens combined).
Claude Opus 4.8 has a larger context window (1M vs 400K tokens).
GPT-5.5 Instant is faster at 168 tok/s vs 64 tok/s.
Claude Opus 4.8 leads on SWE-bench coding (80.8% vs 74.5%).

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

Feature	Claude Opus 4.8	GPT-5.5 Instant
Intelligence Index Composite reasoning & knowledge score (0-100)	67	65
Provider	Anthropic	OpenAI
Input Price Cost per million input tokens	$5.00 / 1M	$0.75 / 1M
Output Price Cost per million output tokens	$25.00 / 1M	$6.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$3.85 / 1M	$0.80 / 1M
Context Window Maximum input + output tokens	1M tokens~1,500 A4 pages of text	400K tokens~600 A4 pages of text
Max Output Tokens Per single request	128K	128K
Throughput Speed Tokens generated per second	64 tok/s	168 tok/s
SWE-bench Verified Real-world software engineering	80.8%	74.5%
GPQA Diamond Graduate-level reasoning	78.9%	75%
Cached Input Price Prompt caching discount per 1M tokens	$0.50 / 1M	$0.07 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

Claude Opus 4.8

+6.3% SWE-bench lead

Cost

GPT-5.5 Instant

4.6x cheaper monthly runtime

Speed

GPT-5.5 Instant

+163% faster generation

Context

Claude Opus 4.8

1M tokens window

Doğrulanmış Benchmark Puanları

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

Claude Opus 4.8GPT-5.5 Instant

SWE-bench Verified (Autonomous Coding)

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

80.8%vs74.5%

GPQA Diamond (Doctorate-Level Science & Math)

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

78.9%vs75%

MMLU-Pro (Multi-task Language Understanding)

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

89.6%vs87.2%

LMSYS Chatbot Arena Elo

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

1420ptsvs1396pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs13.6%

Terminal-Bench (Agentic Coding & Terminal Use)

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

54.2%vs49%

SciCode (Scientific Computing)

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

N/Avs45.5%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs73.5%

AIME (Advanced Math Competition)

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

N/Avs92.4%

Long-Context Reasoning

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

N/Avs81.5%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

64 tok/s vs168 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

Claude Opus 4.81.65s

GPT-5.5 Instant0.78s

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

Claude Opus 4.89.46s

GPT-5.5 Instant3.76s

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)

Claude Opus 4.8 Monthly API Bill

$30.75 / month

$5/1M in · $25/1M out

GPT-5.5 Instant Monthly API Bill

$6.64 / month

$0.75/1M in · $6/1M out

GPT-5.5 Instant saves approximately $24.11 / month (78%) under this workload.4.6x Savings

Claude Opus 4.8 · Strengths & Key Advantages

1M bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 80.8% · GPQA Diamond 78.9%)
Sadece 1650 ms ilk token gecikmesi (TTFT) ile saniyede 64 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

GPT-5.5 Instant · Strengths & Key Advantages

400K bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 74.5% · GPQA Diamond 75%)
Sadece 780 ms ilk token gecikmesi (TTFT) ile saniyede 168 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $0.75/$6 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

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Claude Opus 4.8	GPT-5.5 Instant
Cost per Task Estimated USD to finish one task	$5.49	$0.95
Output Tokens / Task Tokens generated per task	72K	52K
Reasoning Tokens / Task Thinking tokens burned per task	37K	26K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Claude Opus 4.8	GPT-5.5 Instant
Official API Model ID (SDK)	claude-opus-4-8-20260501	gpt-5-5-instant
API Protocol	Anthropic Messages API + AWS Bedrock + Vertex AI	OpenAI Responses API & Chat Completions v1
Release Date	2026-05	2026-05
Knowledge Cutoff	March 2026	December 2025
Architecture	Frontier Hybrid Cognitive Architecture	Low-latency compact reasoning model
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens	Flat rate ($0.75/1M in) across full 400K window
Prompt Cache Policy & TTL	$0.5/1M cached read (90% off); 5-min default & 1-hour extended TTL	Automatic prefix caching at $0.075/1M (no extra cache-write fee)
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 tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning Support	Custom Model Tuning via Amazon Bedrock & Prompt Distillation	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
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	OpenAI Preparedness Framework Audited & System Card Published
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 4.8 vs GPT-5.5 Instant: Hızlı Yanıtlar (SSS)

Which is more intelligent, Claude Opus 4.8 or GPT-5.5 Instant?

Claude Opus 4.8 is more intelligent. It scores 67 compared with 65 on the composite Intelligence Index.

Which model is faster?

GPT-5.5 Instant is faster, generating 168 tokens per second compared with 64 tokens per second.

Which model is cheaper to run?

GPT-5.5 Instant is cheaper at $0.80 per 1M tokens blended, compared with $3.85 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-5.5 Instant has lower latency, with a time to first token of 0.78s compared with 1.65s.

Which model has a larger context window?

Claude Opus 4.8 has a larger context window, supporting 1M tokens compared with 400K tokens.

Sonuç

Hem Claude Opus 4.8 (öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de GPT-5.5 Instant (token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Claude Opus 4.8 karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, GPT-5.5 Instant daha yüksek üretim hızı sağlar; GPT-5.5 Instant ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Claude Opus 4.8 mi yoksa GPT-5.5 Instant mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Claude Opus 4.8 önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Claude Opus 4.8 ve GPT-5.5 Instant API fiyatları nasıl karşılaştırılır?+

Claude Opus 4.8 1M giriş/çıkış tokeni başına $5.00 / $25.00 ücretlendirilirken, GPT-5.5 Instant $0.75 / $6.00 seviyesindedir. Karma maliyette GPT-5.5 Instant daha avantajlıdır.

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

Claude Opus 4.8 1M token bağlam penceresi sunarken GPT-5.5 Instant 400K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise GPT-5.5 Instant 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)

Claude Opus 4.8 vs GPT-5.5 Instant

İstediğiniz Modelleri Seçin ve Karşılaştırın

Claude Opus 4.8

GPT-5.5 Instant

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Claude Opus 4.8 · Strengths & Key Advantages

Considerations & Trade-offs

GPT-5.5 Instant · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Claude Opus 4.8 vs GPT-5.5 Instant: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

Related reading