Head-to-Head Model Comparison

Claude Sonnet 4 vs o1-pro

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

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Claude Sonnet 4Profile

o1-proProfile

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Anthropic

Claude Sonnet 4

Otonom Ajan ve Araç Modeli

Anthropic tarafından geliştirilen Claude Sonnet 4; otonom ajan iş akışları, araç çağırma (tool calling) ve çok adımlı otomasyon için tasarlanmış olup 200K bağlam penceresi, 85 token/sn hız, 58/100 zeka indeksi ve 1M token başına $3/$15 fiya

Intelligence Index58 / 100

Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

72.7%

OpenAI

o1-pro

Derin Akıl Yürütme Motoru

OpenAI tarafından geliştirilen o1-pro; derin mantıksal akıl yürütme, ileri matematik ve çok adımlı bilimsel analiz için tasarlanmış olup 200K bağlam penceresi, 22 token/sn hız, 57/100 zeka indeksi ve 1M token başına $150/$600 fiyatlandırma

Intelligence Index57 / 100

Input Token:

$150.00 / 1M

Output Token:

$600.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

51.5%

Bir Bakışta Temel Farklar

Claude Sonnet 4 is 44.5x cheaper for API usage (input + output tokens combined).
Claude Sonnet 4 is faster at 85 tok/s vs 22 tok/s.
Claude Sonnet 4 leads on SWE-bench coding (72.7% vs 51.5%).

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

Feature	Claude Sonnet 4	o1-pro
Intelligence Index Composite reasoning & knowledge score (0-100)	58	57
Provider	Anthropic	OpenAI
Input Price Cost per million input tokens	$3.00 / 1M	$150.00 / 1M
Output Price Cost per million output tokens	$15.00 / 1M	$600.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$2.31 / 1M	$116.25 / 1M
Context Window Maximum input + output tokens	200K tokens~300 A4 pages of text	200K tokens~300 A4 pages of text
Max Output Tokens Per single request	64K	100K
Throughput Speed Tokens generated per second	85 tok/s	22 tok/s
SWE-bench Verified Real-world software engineering	72.7%	51.5%
GPQA Diamond Graduate-level reasoning	71.2%	79%
Cached Input Price Prompt caching discount per 1M tokens	$0.30 / 1M	$37.50 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

Claude Sonnet 4

+21.2% SWE-bench lead

Cost

Claude Sonnet 4

44.5x cheaper monthly runtime

Speed

Claude Sonnet 4

+286% faster generation

Context

Tied

200K tokens window

Doğrulanmış Benchmark Puanları

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

Claude Sonnet 4o1-pro

SWE-bench Verified (Autonomous Coding)

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

72.7%vs51.5%

GPQA Diamond (Doctorate-Level Science & Math)

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

71.2%vs79%

MMLU-Pro (Multi-task Language Understanding)

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

84.5%vs90.5%

LMSYS Chatbot Arena Elo

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

1362ptsvs1362pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs11.6%

Terminal-Bench (Agentic Coding & Terminal Use)

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

42.1%vs46.5%

SciCode (Scientific Computing)

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

N/Avs46%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs74%

AIME (Advanced Math Competition)

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

N/Avs88%

Long-Context Reasoning

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

N/Avs77.5%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 tok/s vs22 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 Sonnet 40.52s

o1-pro4.20s

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

Claude Sonnet 46.40s

o1-pro26.93s

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 Sonnet 4 Monthly API Bill

$18.45 / month

$3/1M in · $15/1M out

o1-pro Monthly API Bill

$821.25 / month

$150/1M in · $600/1M out

Claude Sonnet 4 saves approximately $802.80 / month (98%) under this workload.44.5x Savings

Claude Sonnet 4 · Strengths & Key Advantages

200K bağlam penceresi ve yanıt başına maksimum 64K çıktı tokenı kapasitesi (SWE-bench Verified 72.7% · GPQA Diamond 71.2%)
Sadece 520 ms ilk token gecikmesi (TTFT) ile saniyede 85 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $3/$15 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

o1-pro · Strengths & Key Advantages

200K bağlam penceresi ve yanıt başına maksimum 100K çıktı tokenı kapasitesi (SWE-bench Verified 51.5% · GPQA Diamond 79%)
Sadece 4200 ms ilk token gecikmesi (TTFT) ile saniyede 22 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $150/$600 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	Claude Sonnet 4	o1-pro
Cost per Task Estimated USD to finish one task	$3.29	$94.20
Output Tokens / Task Tokens generated per task	72K	62K
Reasoning Tokens / Task Thinking tokens burned per task	37K	45K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Claude Sonnet 4	o1-pro
Official API Model ID (SDK)	claude-sonnet-4-20250501	o1-pro
API Protocol	Anthropic Messages API + AWS Bedrock + Vertex AI	OpenAI Responses API & Chat Completions v1
Release Date	2025-05	2025-03
Knowledge Cutoff	March 2025	October 2023
Architecture	Hybrid Multimodal Reasoning Transformer	High-compute reasoning transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 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 ($150/1M in) across full 200K window
Prompt Cache Policy & TTL	$0.3/1M cached read (90% off); 5-min default & 1-hour extended TTL	Automatic prefix caching at $37.5/1M (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 Sonnet 4 vs o1-pro: Hızlı Yanıtlar (SSS)

Which is more intelligent, Claude Sonnet 4 or o1-pro?

Claude Sonnet 4 is more intelligent. It scores 58 compared with 57 on the composite Intelligence Index.

Which model is faster?

Claude Sonnet 4 is faster, generating 85 tokens per second compared with 22 tokens per second.

Which model is cheaper to run?

Claude Sonnet 4 is cheaper at $2.31 per 1M tokens blended, compared with $116.25 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude Sonnet 4 has lower latency, with a time to first token of 0.52s compared with 4.20s.

Sonuç

Hem Claude Sonnet 4 (otonom ajan iş akışları, araç çağırma (tool calling) ve çok adımlı otomasyon, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de o1-pro (derin mantıksal akıl yürütme, ileri matematik ve çok adımlı bilimsel analiz, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Claude Sonnet 4 karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Claude Sonnet 4 daha yüksek üretim hızı sağlar; Claude Sonnet 4 ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Claude Sonnet 4 mi yoksa o1-pro mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Claude Sonnet 4 önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Claude Sonnet 4 ve o1-pro API fiyatları nasıl karşılaştırılır?+

Claude Sonnet 4 1M giriş/çıkış tokeni başına $3.00 / $15.00 ücretlendirilirken, o1-pro $150.00 / $600.00 seviyesindedir. Karma maliyette Claude Sonnet 4 daha avantajlıdır.

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

Claude Sonnet 4 200K token bağlam penceresi sunarken o1-pro 200K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Claude Sonnet 4 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 Sonnet 4 vs o1-pro

İstediğiniz Modelleri Seçin ve Karşılaştırın

Claude Sonnet 4

o1-pro

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Claude Sonnet 4 · Strengths & Key Advantages

Considerations & Trade-offs

o1-pro · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Claude Sonnet 4 vs o1-pro: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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