Sonar Pro vs Sonar Reasoning Pro
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Sonar Pro dari Perplexity dan Sonar Reasoning Pro dari Perplexity adalah dua model AI unggulan. Sonar Pro menawarkan jendela konteks 200K token dengan harga $3.00/$15.00 per 1 juta token, sedangkan Sonar Reasoning Pro menyediakan konteks 128K token seharga $2.00/$8.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Sonar Pro
Model Generasi KlasikSonar 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
$3.00 / 1M
$15.00 / 1M
200K tokens
N/A
Sonar Reasoning Pro
Mesin Penalaran MendalamSonar Reasoning Pro dari Perplexity adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 128K, kecepatan 75 token/detik, indeks kecerdasan 86/100, serta
$2.00 / 1M
$8.00 / 1M
128K tokens
N/A
Perbedaan Utama Sekilas
- Sonar Reasoning Pro is 1.8x cheaper for API usage (input + output tokens combined).
- Sonar Pro has a larger context window (200K vs 128K tokens).
- Sonar Pro is faster at 85 tok/s vs 75 tok/s.
| Feature | Sonar Pro | Sonar Reasoning Pro |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 84 | 86 |
Provider | Perplexity | Perplexity |
Input Price Cost per million input tokens | $3.00 / 1M | $2.00 / 1M |
Output Price Cost per million output tokens | $15.00 / 1M | $8.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $2.31 / 1M | $1.34 / 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 | 75 tok/s |
SWE-bench Verified Real-world software engineering | N/A | N/A |
GPQA Diamond Graduate-level reasoning | 65% | 69% |
Cached Input Price Prompt caching discount per 1M tokens | $0.30 / 1M | $0.20 / 1M |
Siapa Unggul di Mana?
At-a-glance decision frameworkEvaluations ongoing
Skor Benchmark Terverifikasi
Official evaluation metrics verified by independent third-party research labs.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Tokens emitted per second during active generation streaming.
Latensi & Waktu Respons
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulator Biaya Token Interaktif
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
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
Sonar Reasoning Pro · Strengths & Key Advantages
- Jendela konteks 128K dengan kapasitas output maksimum hingga 16K token (GPQA Diamond 69% · MMLU-Pro 83%)
- Kecepatan generasi tinggi 75 token/detik dengan latensi token pertama (TTFT) hanya 720 ms
- Skema harga API kompetitif (tarif $2/$8 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.
| Metric | Sonar Pro | Sonar Reasoning Pro |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.28 | $0.22 |
Output Tokens / Task Tokens generated per task | 18K | 22K |
Reasoning Tokens / Task Thinking tokens burned per task | 4K | 9K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Sonar Pro | Sonar Reasoning Pro |
|---|---|---|
| Official API Model ID (SDK) | sonar-pro | sonar-reasoning-pro |
| API Protocol | Perplexity REST API (OpenAI-Compatible) | Perplexity REST API (OpenAI-Compatible) |
| Release Date | 2024-01 | 2024-01 |
| Knowledge Cutoff | Real-time (Web-grounded) | Real-time (Web-grounded) |
| Architecture | Deep Retrieval Multimodal Frontier Transformer | Deliberate Web-Grounded Chain-of-Thought Engine |
| Parameters | Confidential / Frontier Scale | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($3/1M in) across full 200K window | Flat rate ($2/1M in) across full 128K window |
| Prompt Cache Policy & TTL | Cached input at $0.3/1M tokens | Cached input at $0.2/1M tokens |
| 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 | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools |
| Official Fine-Tuning Support | API Prompt Engineering & RAG Distillation | API Prompt Engineering & RAG Distillation |
| 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 | Perplexity Production Safety & Alignment Verified | Perplexity Production Safety & Alignment Verified |
| 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 |
Sonar Pro vs Sonar Reasoning Pro: Jawaban Cepat (FAQ)
Which is more intelligent, Sonar Pro or Sonar Reasoning Pro?
Sonar Reasoning Pro is more intelligent. It scores 86 compared with 84 on the composite Intelligence Index.
Which model is faster?
Sonar Pro is faster, generating 85 tokens per second compared with 75 tokens per second.
Which model is cheaper to run?
Sonar Reasoning Pro is cheaper at $1.34 per 1M tokens blended, compared with $2.31 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Sonar Pro has lower latency, with a time to first token of 0.58s compared with 0.72s.
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 Sonar Reasoning Pro (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Sonar Reasoning Pro unggul dalam penalaran dan pemrograman, Sonar Pro memberikan kecepatan generasi token lebih tinggi, dan Sonar Reasoning Pro lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Sonar Pro atau Sonar Reasoning Pro?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Sonar Reasoning Pro memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Sonar Pro vs Sonar Reasoning Pro?+
Sonar Pro mengenakan biaya $3.00 / $15.00 per 1M token input/output, sedangkan Sonar Reasoning Pro sebesar $2.00 / $8.00. Secara keseluruhan, Sonar Reasoning 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 Sonar Reasoning Pro, sementara Sonar Pro unggul dalam kecepatan output token per detik.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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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 & Perplexity serta evaluasi benchmark independen (2026).