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Head-to-Head Model Comparison

Sonar Pro vs GPT-4o

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial
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Related topics (12)
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 da Perplexity e GPT-4o da OpenAI são dois modelos de IA de destaque. O Sonar Pro oferece uma janela de contexto de 200K tokens a $3.00/$15.00 por milhão de tokens, enquanto o GPT-4o oferece 128K tokens de contexto a $2.50/$10.00 por milhão de tokens. Veja abaixo a comparação completa de benchmarks, latência e custos.

Comparação Direta (VS)

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Popular Matchups:
Perplexity

Sonar Pro

Modelo de Geração Clássica

O Sonar Pro da Perplexity é um modelo de IA projetado para assistentes conversacionais, síntese de textos e tarefas corporativas, oferecendo janela de contexto de 200K, velocidade de 85 tokens/s, índice de inteligência de 84/100 e tarifa de

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

Modelo Nativo de Voz e Áudio

O GPT-4o da OpenAI é um modelo de IA projetado para síntese de voz natural, transcrição de áudio e interação falada em tempo real, oferecendo janela de contexto de 128K, velocidade de 105 tokens/s, índice de inteligência de 41/100 e tarifa

Intelligence Index41 / 100
Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

38.8%

Principais Diferenças em Resumo

  • 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

Quem vence em cada categoria?

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

Pontuações de Benchmarks Verificadas

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

Latência e Tempo de Resposta

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

Simulador Interativo de Custo de Tokens

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

  • Janela de contexto de 200K com limite máximo de saída de 8K tokens (GPQA Diamond 65% · MMLU-Pro 81.5%)
  • Taxa de transferência rápida de 85 tokens/segundo com latência inicial (TTFT) de 580 ms
  • Economia de API competitiva ($3/$15 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
  • Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
  • Para alto volume de requisições, recomenda-se ativar o cache de prompts e a Batch API para reduzir custos

GPT-4o · Strengths & Key Advantages

  • Janela de contexto de 128K com limite máximo de saída de 16K tokens (SWE-bench Verified 38.8% · GPQA Diamond 53.6%)
  • Taxa de transferência rápida de 105 tokens/segundo com latência inicial (TTFT) de 410 ms
  • Economia de API competitiva ($2.5/$10 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
  • Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
  • Para alto volume de requisições, recomenda-se ativar o cache de prompts e a Batch API para reduzir custos

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

Especificações Técnicas

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: Respostas Rápidas (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.

Veredito

Tanto Sonar Pro (Indicado para assistentes conversacionais, síntese de textos e tarefas corporativas, arquiteturas RAG corporativas e integração escalável via API.) quanto GPT-4o (Indicado para síntese de voz natural, transcrição de áudio e interação falada em tempo real, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Sonar Pro lidera em inteligência geral e programação, GPT-4o oferece geração mais rápida e Sonar Pro apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, Sonar Pro ou GPT-4o?+

Nas avaliações de inteligência e código, Sonar Pro leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, Sonar Pro ou GPT-4o?+

O Sonar Pro custa $3.00 / $15.00 por 1M de tokens (entrada/saída) e o GPT-4o custa $2.50 / $10.00. No custo combinado, Sonar Pro é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O Sonar Pro suporta 200K tokens de contexto contra 128K tokens do GPT-4o, enquanto GPT-4o entrega maior velocidade de geração.

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.

Fontes oficiais: Documentação oficial de API da Perplexity e OpenAI e benchmarks independentes (2026).