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Head-to-Head Model Comparison

Sonar Pro vs GPT-4o

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Sonar Pro vs GPT-4o: Benchmarks, Pricing & Speed Comparison

Sonar Pro dari Perplexity dan GPT-4o dari OpenAI adalah dua model AI unggulan. Sonar Pro menawarkan jendela konteks 200K token dengan harga $3.00/$15.00 per 1 juta token, sedangkan GPT-4o menyediakan konteks 128K token seharga $2.50/$10.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Perplexity

Sonar Pro

Model Generasi Klasik

Sonar Pro dari Perplexity adalah model AI yang dirancang untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, menghadirkan jendela konteks 200K, kecepatan 85 token/detik, indeks kecerdasan 84/100, serta tarif $3/$15 p

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

Model Suara & Audio Asli

GPT-4o dari OpenAI adalah model AI yang dirancang untuk sintesis suara alami, pemrosesan audio real-time, dan transkripsi ucapan, menghadirkan jendela konteks 128K, kecepatan 105 token/detik, indeks kecerdasan 41/100, serta tarif $2.5/$10 p

Intelligence Index41 / 100
Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

38.8%

Perbedaan Utama Sekilas

  • 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 →
FeatureSonar ProGPT-4o
Intelligence Index
Composite reasoning & knowledge score (0-100)
8441
Provider
PerplexityOpenAI
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 text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
8K16K
Throughput Speed
Tokens generated per second
85 tok/s105 tok/s
SWE-bench Verified
Real-world software engineering
N/A38.8%
GPQA Diamond
Graduate-level reasoning
65%53.6%
Cached Input Price
Prompt caching discount per 1M tokens
$0.30 / 1M$1.25 / 1M

Siapa Unggul di Mana?

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

Skor Benchmark Terverifikasi

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

Latensi & Waktu Respons

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

Simulator Biaya Token Interaktif

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)
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

  • Jendela konteks 200K dengan kapasitas output maksimum hingga 8K token (GPQA Diamond 65% · MMLU-Pro 81.5%)
  • Kecepatan generasi tinggi 85 token/detik dengan latensi token pertama (TTFT) hanya 580 ms
  • Skema harga API kompetitif (tarif $3/$15 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
  • Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
  • Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

GPT-4o · Strengths & Key Advantages

  • Jendela konteks 128K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 38.8% · GPQA Diamond 53.6%)
  • Kecepatan generasi tinggi 105 token/detik dengan latensi token pertama (TTFT) hanya 410 ms
  • Skema harga API kompetitif (tarif $2.5/$10 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
  • Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
  • Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Token Use & Task Economics

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

MetricSonar ProGPT-4o
Cost per Task
Estimated USD to finish one task
$0.28$0.68
Output Tokens / Task
Tokens generated per task
18K24K
Reasoning Tokens / Task
Thinking tokens burned per task
4K0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureSonar ProGPT-4o
Official API Model ID (SDK)sonar-progpt-4o
API ProtocolPerplexity REST API (OpenAI-Compatible)OpenAI Responses API & Chat Completions v1
Release Date2024-012024-05
Knowledge CutoffReal-time (Web-grounded)October 2023
ArchitectureDeep Retrieval Multimodal Frontier TransformerOmni-Multimodal Dense
ParametersConfidential / Frontier ScaleConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM10,000 – 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 windowFlat rate ($2.5/1M in) across full 128K window
Prompt Cache Policy & TTLCached input at $0.3/1M tokensAutomatic prefix caching at $1.25/1M (no extra cache-write fee)
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 & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
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) · Audio (~25–32 tokens/sec)
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 ClassificationPerplexity Production Safety & Alignment VerifiedOpenAI Preparedness Framework Audited & System Card Published
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, audio
Output Modalitiestexttext, audio

Sonar Pro vs GPT-4o: Jawaban Cepat (FAQ)

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.

Kesimpulan

Baik Sonar Pro (Sangat cocok untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun GPT-4o (Sangat cocok untuk sintesis suara alami, pemrosesan audio real-time, dan transkripsi ucapan, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Sonar Pro unggul dalam penalaran dan pemrograman, GPT-4o memberikan kecepatan generasi token lebih tinggi, dan Sonar Pro lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Sonar Pro atau GPT-4o?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Sonar Pro memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Sonar Pro vs GPT-4o?+

Sonar Pro mengenakan biaya $3.00 / $15.00 per 1M token input/output, sedangkan GPT-4o sebesar $2.50 / $10.00. Secara keseluruhan, Sonar Pro lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Sonar Pro mendukung konteks 200K token dibandingkan 128K token pada GPT-4o, sementara GPT-4o unggul dalam kecepatan output token per detik.

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.

Sumber resmi: Dokumentasi API resmi Perplexity & OpenAI serta evaluasi benchmark independen (2026).