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Head-to-Head Model Comparison

GPT-5.1 Codex Max vs Claude Sonnet 5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
GPT-5.1 Codex Max vs Claude Sonnet 5.5: Benchmarks, Pricing & Speed Comparison

OpenAI tarafından geliştirilen GPT-5.1 Codex Max ve Anthropic tarafından sunulan Claude Sonnet 5.5, kendi sınıflarının öne çıkan yapay zeka modelleridir. GPT-5.1 Codex Max, 400K token bağlam penceresi ve 1M token başına $1.75/$14.00 fiyat sunarken; Claude Sonnet 5.5, 1M token bağlam penceresi ve $2.00/$10.00 fiyatla gelir. Aşağıda tüm benchmark, hız ve maliyet detaylarını inceleyebilirsiniz.

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GPT-5.1 Codex Max

Amiral Gemisi Öncü Model

OpenAI tarafından geliştirilen GPT-5.1 Codex Max; öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları için tasarlanmış olup 400K bağlam penceresi, 95 token/sn hız, 62/100 zeka indeksi ve 1M token başına $1.75/$14

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

Amiral Gemisi Öncü Model

Anthropic tarafından geliştirilen Claude Sonnet 5.5; öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları için tasarlanmış olup 1M bağlam penceresi, 105 token/sn hız, 78/100 zeka indeksi ve 1M token başına $2/$10

Intelligence Index78 / 100
Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

82.9%

Bir Bakışta Temel Farklar

  • 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 →
FeatureGPT-5.1 Codex MaxClaude Sonnet 5.5
Intelligence Index
Composite reasoning & knowledge score (0-100)
6278
Provider
OpenAIAnthropic
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 text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
128K128K
Throughput Speed
Tokens generated per second
95 tok/s105 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

Hangi Alanda Kim Kazanıyor?

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

Doğrulanmış Benchmark Puanları

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

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-5.1 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

Gerçek Zamanlı Token Maliyet Simülatörü

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

100K / day
10K500K1M
30K / day
5K150K300K
50% 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

  • 400K bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 78.2% · GPQA Diamond 80%)
  • Sadece 1700 ms ilk token gecikmesi (TTFT) ile saniyede 95 token yüksek üretim hızı
  • İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $1.75/$14 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 Sonnet 5.5 · Strengths & Key Advantages

  • 1M bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 82.9% · GPQA Diamond 79.4%)
  • Sadece 550 ms ilk token gecikmesi (TTFT) ile saniyede 105 token yüksek üretim hızı
  • İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $2/$10 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.

MetricGPT-5.1 Codex MaxClaude Sonnet 5.5
Cost per Task
Estimated USD to finish one task
$2.40$3.29
Output Tokens / Task
Tokens generated per task
62K72K
Reasoning Tokens / Task
Thinking tokens burned per task
36K37K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

FeatureGPT-5.1 Codex MaxClaude Sonnet 5.5
Official API Model ID (SDK)gpt-5-1-codex-maxclaude-sonnet-5-5-20260901
API ProtocolOpenAI Responses API & Chat Completions v1Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date2025-112026-09
Knowledge CutoffOctober 2024June 2026
ArchitectureMaximum-capability code-specialised reasoning modelAdaptive Frontier Multimodal Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM4,000 – 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 windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLAutomatic 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 AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxNative Web Search tool + Hosted Code Interpreter & File Search RAGNative Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning SupportSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)Custom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token BillingText 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 VRAMCloud-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 ClassificationOpenAI Preparedness Framework Audited & System Card PublishedAnthropic 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 TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, visiontext, vision
Output Modalitiestexttext

GPT-5.1 Codex Max vs Claude Sonnet 5.5: Hızlı Yanıtlar (SSS)

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.

Sonuç

Hem GPT-5.1 Codex Max (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 Sonnet 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: Claude Sonnet 5.5 karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Claude Sonnet 5.5 daha yüksek üretim hızı sağlar; Claude Sonnet 5.5 ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için GPT-5.1 Codex Max mi yoksa Claude Sonnet 5.5 mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Claude Sonnet 5.5 önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

GPT-5.1 Codex Max ve Claude Sonnet 5.5 API fiyatları nasıl karşılaştırılır?+

GPT-5.1 Codex Max 1M giriş/çıkış tokeni başına $1.75 / $14.00 ücretlendirilirken, Claude Sonnet 5.5 $2.00 / $10.00 seviyesindedir. Karma maliyette Claude Sonnet 5.5 daha avantajlıdır.

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

GPT-5.1 Codex Max 400K token bağlam penceresi sunarken Claude Sonnet 5.5 1M token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Claude Sonnet 5.5 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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

Resmi kaynaklar: OpenAI ve Anthropic resmi API dokümantasyonu, sistem kartları ve bağımsız benchmark testleri (2026).