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Head-to-Head Model Comparison

Sonar Reasoning Pro vs DeepSeek R1

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 Reasoning Pro vs DeepSeek R1: Benchmarks, Pricing & Speed Comparison

Sonar Reasoning Pro dari Perplexity dan DeepSeek R1 dari DeepSeek adalah dua model AI unggulan. Sonar Reasoning Pro menawarkan jendela konteks 128K token dengan harga $2.00/$8.00 per 1 juta token, sedangkan DeepSeek R1 menyediakan konteks 128K token seharga $0.55/$2.19 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Perplexity

Sonar Reasoning Pro

Mesin Penalaran Mendalam

Sonar 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

Intelligence Index86 / 100
Input Token:

$2.00 / 1M

Output Token:

$8.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

DeepSeek

DeepSeek R1

Penalaran Bobot Terbuka

DeepSeek R1 dari DeepSeek adalah model AI yang dirancang untuk penalaran rantai pemikiran (Chain-of-Thought) berbobot terbuka yang sangat efisien, menghadirkan jendela konteks 128K, kecepatan 45 token/detik, indeks kecerdasan 49/100, serta

Intelligence Index49 / 100
Input Token:

$0.55 / 1M

Output Token:

$2.19 / 1M

Context Window:

128K tokens

SWE-bench Verified:

49.2%

Perbedaan Utama Sekilas

  • DeepSeek R1 is 3.5x cheaper for API usage (input + output tokens combined).
  • Sonar Reasoning Pro is faster at 75 tok/s vs 45 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureSonar Reasoning ProDeepSeek R1
Intelligence Index
Composite reasoning & knowledge score (0-100)
8649
Provider
PerplexityDeepSeek
Input Price
Cost per million input tokens
$2.00 / 1M$0.55 / 1M
Output Price
Cost per million output tokens
$8.00 / 1M$2.19 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$1.34 / 1M$0.43 / 1M
Context Window
Maximum input + output tokens
128K tokens~192 A4 pages of text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
16K8K
Throughput Speed
Tokens generated per second
75 tok/s45 tok/s
SWE-bench Verified
Real-world software engineering
N/A49.2%
GPQA Diamond
Graduate-level reasoning
69%71.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.20 / 1M$0.14 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
DeepSeek R1
3.5x cheaper monthly runtime
Speed
Sonar Reasoning Pro
+67% faster generation
Context
Tied
128K tokens window

Skor Benchmark Terverifikasi

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

Sonar Reasoning ProDeepSeek R1
SWE-bench Verified (Autonomous Coding)

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

N/Avs49.2%
GPQA Diamond (Doctorate-Level Science & Math)

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

69%vs71.5%
MMLU-Pro (Multi-task Language Understanding)

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

83%vs84%
LMSYS Chatbot Arena Elo

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

1365ptsvs1340pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs11.4%
Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs32.5%
SciCode (Scientific Computing)

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

N/Avs29.5%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs51.7%
AIME (Advanced Math Competition)

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

78%vs82.2%
Long-Context Reasoning

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

N/Avs75.6%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

75 tok/s vs45 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 Reasoning Pro0.72s
DeepSeek R10.95s
Est. End-to-End Response (500 tokens)TTFT + generation time
Sonar Reasoning Pro7.39s
DeepSeek R112.06s

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 Reasoning Pro Monthly API Bill
$10.50 / month
$2/1M in · $8/1M out
DeepSeek R1 Monthly API Bill
$3.01 / month
$0.55/1M in · $2.19/1M out
DeepSeek R1 saves approximately $7.49 / month (71%) under this workload.3.5x Savings

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

DeepSeek R1 · Strengths & Key Advantages

  • Jendela konteks 128K dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 49.2% · GPQA Diamond 71.5%)
  • Kecepatan generasi tinggi 45 token/detik dengan latensi token pertama (TTFT) hanya 950 ms
  • Bobot terbuka (671B Total (37B )) yang siap di-hosting mandiri di GPU lokal atau cloud privat melalui vLLM dan Ollama
Considerations & Trade-offs
  • Membutuhkan infrastruktur GPU dengan kapasitas VRAM yang memadai untuk eksekusi lokal presisi penuh
  • Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Token Use & Task Economics

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

MetricSonar Reasoning ProDeepSeek R1
Cost per Task
Estimated USD to finish one task
$0.22$0.65
Output Tokens / Task
Tokens generated per task
22K45K
Reasoning Tokens / Task
Thinking tokens burned per task
9K25K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureSonar Reasoning ProDeepSeek R1
Official API Model ID (SDK)sonar-reasoning-prodeepseek-reasoner
API ProtocolPerplexity REST API (OpenAI-Compatible)OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2024-012025-01
Knowledge CutoffReal-time (Web-grounded)July 2024
ArchitectureDeliberate Web-Grounded Chain-of-Thought EngineOpen-Weights Reasoning MoE
ParametersConfidential671B Total (37B Active)
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPMUnlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud
Long-Context Tier (>128K/200K)Flat rate ($2/1M in) across full 128K windowFlat rate ($0.55/1M in) across full 128K window
Prompt Cache Policy & TTLCached input at $0.2/1M tokensAutomatic prefix caching at $0.14/1M (no extra cache-write fee)
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
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 toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationFull Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMCloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 416 GB VRAM (4-bit Quantized) · 1443 GB VRAM (Native BF16)
Safety & Frontier ClassificationPerplexity Production Safety & Alignment VerifiedOpen-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalitiestext, visiontext
Output Modalitiestexttext

Sonar Reasoning Pro vs DeepSeek R1: Jawaban Cepat (FAQ)

Which is more intelligent, Sonar Reasoning Pro or DeepSeek R1?

Sonar Reasoning Pro is more intelligent. It scores 86 compared with 49 on the composite Intelligence Index.

Which model is faster?

Sonar Reasoning Pro is faster, generating 75 tokens per second compared with 45 tokens per second.

Which model is cheaper to run?

DeepSeek R1 is cheaper at $0.43 per 1M tokens blended, compared with $1.34 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Sonar Reasoning Pro has lower latency, with a time to first token of 0.72s compared with 0.95s.

Kesimpulan

Baik Sonar Reasoning Pro (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun DeepSeek R1 (Sangat cocok untuk penalaran rantai pemikiran (Chain-of-Thought) berbobot terbuka yang sangat efisien, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Sonar Reasoning Pro unggul dalam penalaran dan pemrograman, Sonar Reasoning Pro memberikan kecepatan generasi token lebih tinggi, dan DeepSeek R1 lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Sonar Reasoning Pro atau DeepSeek R1?+

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 Reasoning Pro vs DeepSeek R1?+

Sonar Reasoning Pro mengenakan biaya $2.00 / $8.00 per 1M token input/output, sedangkan DeepSeek R1 sebesar $0.55 / $2.19. Secara keseluruhan, DeepSeek R1 lebih hemat biaya.

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

Sonar Reasoning Pro mendukung konteks 128K token dibandingkan 128K token pada DeepSeek R1, sementara Sonar Reasoning Pro 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 & DeepSeek serta evaluasi benchmark independen (2026).