Head-to-Head Model Comparison

Sonar Pro vs GPT-4o

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.

Sonar ProProfile

GPT-4oProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Perplexity

Sonar Pro

Klasik Nesil Model

Perplexity tarafından geliştirilen Sonar Pro; güvenilir sohbet asistanları, metin özetleme ve standart kurumsal iş yükleri için tasarlanmış olup 200K bağlam penceresi, 85 token/sn hız, 84/100 zeka indeksi ve 1M token başına $3/$15 fiyatland

Intelligence Index84 / 100

Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

N/A

OpenAI

GPT-4o

Yerel Ses ve Konuşma Modeli

OpenAI tarafından geliştirilen GPT-4o; doğal ses sentezi, gerçek zamanlı ses işleme ve konuşma metne dönüştürme için tasarlanmış olup 128K bağlam penceresi, 105 token/sn hız, 41/100 zeka indeksi ve 1M token başına $2.5/$10 fiyatlandırma sun

Intelligence Index41 / 100

Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

38.8%

Bir Bakışta Temel Farklar

GPT-4o is 1.3x cheaper for API usage (input + output tokens combined).
Sonar Pro has a larger context window (200K vs 128K tokens).
GPT-4o is faster at 105 tok/s vs 85 tok/s.

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

Feature	Sonar Pro	GPT-4o
Intelligence Index Composite reasoning & knowledge score (0-100)	84	41
Provider	Perplexity	OpenAI
Input Price Cost per million input tokens	$3.00 / 1M	$2.50 / 1M
Output Price Cost per million output tokens	$15.00 / 1M	$10.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$2.31 / 1M	$2.38 / 1M
Context Window Maximum input + output tokens	200K tokens~300 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	8K	16K
Throughput Speed Tokens generated per second	85 tok/s	105 tok/s
SWE-bench Verified Real-world software engineering	N/A	38.8%
GPQA Diamond Graduate-level reasoning	65%	53.6%
Cached Input Price Prompt caching discount per 1M tokens	$0.30 / 1M	$1.25 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

GPT-4o

1.3x cheaper monthly runtime

Speed

GPT-4o

+24% faster generation

Context

Sonar Pro

200K tokens window

Doğrulanmış Benchmark Puanları

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

Sonar ProGPT-4o

SWE-bench Verified (Autonomous Coding)

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

N/Avs38.8%

GPQA Diamond (Doctorate-Level Science & Math)

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

65%vs53.6%

MMLU-Pro (Multi-task Language Understanding)

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

81.5%vs72.6%

LMSYS Chatbot Arena Elo

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

1355ptsvs1286pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs4.1%

Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs18.5%

SciCode (Scientific Computing)

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

N/Avs27.3%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs43.9%

AIME (Advanced Math Competition)

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

N/Avs29.7%

Long-Context Reasoning

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

N/Avs58.2%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 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

Sonar Pro0.58s

GPT-4o0.41s

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

Sonar Pro6.46s

GPT-4o5.17s

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)

Sonar Pro Monthly API Bill

$18.45 / month

$3/1M in · $15/1M out

GPT-4o Monthly API Bill

$14.63 / month

$2.5/1M in · $10/1M out

GPT-4o saves approximately $3.82 / month (21%) under this workload.1.3x Savings

Sonar Pro · Strengths & Key Advantages

200K bağlam penceresi ve yanıt başına maksimum 8K çıktı tokenı kapasitesi (GPQA Diamond 65% · MMLU-Pro 81.5%)
Sadece 580 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

GPT-4o · Strengths & Key Advantages

128K bağlam penceresi ve yanıt başına maksimum 16K çıktı tokenı kapasitesi (SWE-bench Verified 38.8% · GPQA Diamond 53.6%)
Sadece 410 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 $2.5/$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.

Metric	Sonar Pro	GPT-4o
Cost per Task Estimated USD to finish one task	$0.28	$0.68
Output Tokens / Task Tokens generated per task	18K	24K
Reasoning Tokens / Task Thinking tokens burned per task	4K	0K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Sonar Pro	GPT-4o
Official API Model ID (SDK)	sonar-pro	gpt-4o
API Protocol	Perplexity REST API (OpenAI-Compatible)	OpenAI Responses API & Chat Completions v1
Release Date	2024-01	2024-05
Knowledge Cutoff	Real-time (Web-grounded)	October 2023
Architecture	Deep Retrieval Multimodal Frontier Transformer	Omni-Multimodal Dense
Parameters	Confidential / Frontier Scale	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production 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)	Flat rate ($3/1M in) across full 200K window	Flat rate ($2.5/1M in) across full 128K window
Prompt Cache Policy & TTL	Cached input at $0.3/1M tokens	Automatic prefix caching at $1.25/1M (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	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools	Native Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning Support	API Prompt Engineering & RAG 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) · Audio (~25–32 tokens/sec)
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	Perplexity Production Safety & Alignment Verified	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, audio
Output Modalities	text	text, audio

Sonar Pro vs GPT-4o: Hızlı Yanıtlar (SSS)

Which is more intelligent, Sonar Pro or GPT-4o?

Sonar Pro is more intelligent. It scores 84 compared with 41 on the composite Intelligence Index.

Which model is faster?

GPT-4o is faster, generating 105 tokens per second compared with 85 tokens per second.

Which model is cheaper to run?

Sonar Pro is cheaper at $2.31 per 1M tokens blended, compared with $2.38 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-4o has lower latency, with a time to first token of 0.41s compared with 0.58s.

Which model has a larger context window?

Sonar Pro has a larger context window, supporting 200K tokens compared with 128K tokens.

Sonuç

Hem Sonar Pro (güvenilir sohbet asistanları, metin özetleme ve standart kurumsal iş yükleri, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de GPT-4o (doğal ses sentezi, gerçek zamanlı ses işleme ve konuşma metne dönüştürme, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Sonar Pro karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, GPT-4o daha yüksek üretim hızı sağlar; Sonar Pro ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Sonar Pro mi yoksa GPT-4o mi daha iyi?+

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

Sonar Pro ve GPT-4o API fiyatları nasıl karşılaştırılır?+

Sonar Pro 1M giriş/çıkış tokeni başına $3.00 / $15.00 ücretlendirilirken, GPT-4o $2.50 / $10.00 seviyesindedir. Karma maliyette Sonar Pro daha avantajlıdır.

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

Sonar Pro 200K token bağlam penceresi sunarken GPT-4o 128K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise GPT-4o 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)

Sonar Pro vs GPT-4o

İstediğiniz Modelleri Seçin ve Karşılaştırın

Sonar Pro

GPT-4o

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Sonar Pro · Strengths & Key Advantages

Considerations & Trade-offs

GPT-4o · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Sonar Pro vs GPT-4o: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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