Head-to-Head Model Comparison

GPT-6 Astra vs Claude Opus 5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

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GPT-6 AstraProfile

Claude Opus 5.5Profile

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OpenAI

GPT-6 Astra

Yerel Ses ve Konuşma Modeli

OpenAI tarafından geliştirilen GPT-6 Astra; doğal ses sentezi, gerçek zamanlı ses işleme ve konuşma metne dönüştürme için tasarlanmış olup 272K bağlam penceresi, 100 token/sn hız, 96/100 zeka indeksi ve 1M token başına $10/$50 fiyatlandırma

Intelligence Index96 / 100

Input Token:

$10.00 / 1M

Output Token:

$50.00 / 1M

Context Window:

272K tokens

SWE-bench Verified:

82.4%

Anthropic

Claude Opus 5.5

Amiral Gemisi Öncü Model

Anthropic tarafından geliştirilen Claude Opus 5.5; öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları için tasarlanmış olup 1M bağlam penceresi, 78 token/sn hız, 94/100 zeka indeksi ve 1M token başına $4/$20 fiy

Intelligence Index94 / 100

Input Token:

$4.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

84.6%

Bir Bakışta Temel Farklar

Claude Opus 5.5 is 2.5x cheaper for API usage (input + output tokens combined).
Claude Opus 5.5 has a larger context window (1M vs 272K tokens).
GPT-6 Astra is faster at 100 tok/s vs 78 tok/s.
Claude Opus 5.5 leads on SWE-bench coding (84.6% vs 82.4%).

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

Feature	GPT-6 Astra	Claude Opus 5.5
Intelligence Index Composite reasoning & knowledge score (0-100)	96	94
Provider	OpenAI	Anthropic
Input Price Cost per million input tokens	$10.00 / 1M	$4.00 / 1M
Output Price Cost per million output tokens	$50.00 / 1M	$20.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$7.70 / 1M	$3.08 / 1M
Context Window Maximum input + output tokens	272K tokens~408 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	100 tok/s	78 tok/s
SWE-bench Verified Real-world software engineering	82.4%	84.6%
GPQA Diamond Graduate-level reasoning	80.9%	82.3%
Cached Input Price Prompt caching discount per 1M tokens	$1.00 / 1M	$0.40 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

Claude Opus 5.5

+2.2% SWE-bench lead

Cost

Claude Opus 5.5

2.5x cheaper monthly runtime

Speed

GPT-6 Astra

+28% faster generation

Context

Claude Opus 5.5

1M tokens window

Doğrulanmış Benchmark Puanları

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

GPT-6 AstraClaude Opus 5.5

SWE-bench Verified (Autonomous Coding)

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

82.4%vs84.6%

GPQA Diamond (Doctorate-Level Science & Math)

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

80.9%vs82.3%

MMLU-Pro (Multi-task Language Understanding)

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

89.9%vs91.5%

LMSYS Chatbot Arena Elo

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

1520ptsvs1507pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

18.2%vs19.8%

Terminal-Bench (Agentic Coding & Terminal Use)

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

63.8%vs66.4%

SciCode (Scientific Computing)

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

54.9%vs58.7%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

79.8%vs83.1%

AIME (Advanced Math Competition)

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

93.6%vs95.4%

Long-Context Reasoning

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

91.2%vs92.6%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

100 tok/s vs78 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-6 Astra0.95s

Claude Opus 5.51.40s

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

GPT-6 Astra5.95s

Claude Opus 5.57.81s

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-6 Astra Monthly API Bill

$61.50 / month

$10/1M in · $50/1M out

Claude Opus 5.5 Monthly API Bill

$24.60 / month

$4/1M in · $20/1M out

Claude Opus 5.5 saves approximately $36.90 / month (60%) under this workload.2.5x Savings

GPT-6 Astra · Strengths & Key Advantages

272K bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 82.4% · GPQA Diamond 80.9%)
Sadece 950 ms ilk token gecikmesi (TTFT) ile saniyede 100 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $10/$50 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

Claude Opus 5.5 · Strengths & Key Advantages

1M bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 84.6% · GPQA Diamond 82.3%)
Sadece 1400 ms ilk token gecikmesi (TTFT) ile saniyede 78 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $4/$20 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-6 Astra	Claude Opus 5.5
Cost per Task Estimated USD to finish one task	$2.15	$3.85
Output Tokens / Task Tokens generated per task	58K	68K
Reasoning Tokens / Task Thinking tokens burned per task	32K	42K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-6 Astra	Claude Opus 5.5
Official API Model ID (SDK)	gpt-6-astra	claude-opus-5-5-20260901
API Protocol	OpenAI Responses API & Chat Completions v1	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2026-09	2026-09
Knowledge Cutoff	June 2026	June 2026
Architecture	Omni-Adaptive Autoregressive with Dynamic CoT	Extended Autonomous Hybrid Reasoning 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 ($10/1M in) across full 272K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Automatic prefix caching at $1/1M (no extra cache-write fee)	$0.4/1M 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) · Audio (~25–32 tokens/sec)	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, audio	text, vision
Output Modalities	text, audio	text

GPT-6 Astra vs Claude Opus 5.5: Hızlı Yanıtlar (SSS)

Which is more intelligent, GPT-6 Astra or Claude Opus 5.5?

GPT-6 Astra is more intelligent. It scores 96 compared with 94 on the composite Intelligence Index.

Which model is faster?

GPT-6 Astra is faster, generating 100 tokens per second compared with 78 tokens per second.

Which model is cheaper to run?

Claude Opus 5.5 is cheaper at $3.08 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-6 Astra has lower latency, with a time to first token of 0.95s compared with 1.40s.

Which model has a larger context window?

Claude Opus 5.5 has a larger context window, supporting 1M tokens compared with 272K tokens.

Sonuç

Hem GPT-6 Astra (doğal ses sentezi, gerçek zamanlı ses işleme ve konuşma metne dönüştürme, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Claude Opus 5.5 (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: GPT-6 Astra karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, GPT-6 Astra daha yüksek üretim hızı sağlar; Claude Opus 5.5 ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için GPT-6 Astra mi yoksa Claude Opus 5.5 mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde GPT-6 Astra önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

GPT-6 Astra ve Claude Opus 5.5 API fiyatları nasıl karşılaştırılır?+

GPT-6 Astra 1M giriş/çıkış tokeni başına $10.00 / $50.00 ücretlendirilirken, Claude Opus 5.5 $4.00 / $20.00 seviyesindedir. Karma maliyette Claude Opus 5.5 daha avantajlıdır.

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

GPT-6 Astra 272K token bağlam penceresi sunarken Claude Opus 5.5 1M token kapasiteye sahiptir. Saniyedeki token üretim hızında ise GPT-6 Astra 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-6 Astra vs Claude Opus 5.5

İstediğiniz Modelleri Seçin ve Karşılaştırın

GPT-6 Astra

Claude Opus 5.5

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

GPT-6 Astra · Strengths & Key Advantages

Considerations & Trade-offs

Claude Opus 5.5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

GPT-6 Astra vs Claude Opus 5.5: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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