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Head-to-Head Model Comparison

Claude Sonnet 4 vs o1-pro

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Claude Sonnet 4 vs o1-pro: Benchmarks, Pricing & Speed Comparison

Claude Sonnet 4 dari Anthropic dan o1-pro dari OpenAI adalah dua model AI unggulan. Claude Sonnet 4 menawarkan jendela konteks 200K token dengan harga $3.00/$15.00 per 1 juta token, sedangkan o1-pro menyediakan konteks 200K token seharga $150.00/$600.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Anthropic

Claude Sonnet 4

Model Agen Otonom & Alat

Claude Sonnet 4 dari Anthropic adalah model AI yang dirancang untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, menghadirkan jendela konteks 200K, kecepatan 85 token/detik, indeks kecerdasan 58/10

Intelligence Index58 / 100
Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

72.7%

OpenAI

o1-pro

Mesin Penalaran Mendalam

o1-pro dari OpenAI adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 200K, kecepatan 22 token/detik, indeks kecerdasan 57/100, serta tarif $150/$600 p

Intelligence Index57 / 100
Input Token:

$150.00 / 1M

Output Token:

$600.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

51.5%

Perbedaan Utama Sekilas

  • Claude Sonnet 4 is 44.5x cheaper for API usage (input + output tokens combined).
  • Claude Sonnet 4 is faster at 85 tok/s vs 22 tok/s.
  • Claude Sonnet 4 leads on SWE-bench coding (72.7% vs 51.5%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureClaude Sonnet 4o1-pro
Intelligence Index
Composite reasoning & knowledge score (0-100)
5857
Provider
AnthropicOpenAI
Input Price
Cost per million input tokens
$3.00 / 1M$150.00 / 1M
Output Price
Cost per million output tokens
$15.00 / 1M$600.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$2.31 / 1M$116.25 / 1M
Context Window
Maximum input + output tokens
200K tokens~300 A4 pages of text200K tokens~300 A4 pages of text
Max Output Tokens
Per single request
64K100K
Throughput Speed
Tokens generated per second
85 tok/s22 tok/s
SWE-bench Verified
Real-world software engineering
72.7%51.5%
GPQA Diamond
Graduate-level reasoning
71.2%79%
Cached Input Price
Prompt caching discount per 1M tokens
$0.30 / 1M$37.50 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding
Claude Sonnet 4
+21.2% SWE-bench lead
Cost
Claude Sonnet 4
44.5x cheaper monthly runtime
Speed
Claude Sonnet 4
+286% faster generation
Context
Tied
200K tokens window

Skor Benchmark Terverifikasi

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

Claude Sonnet 4o1-pro
SWE-bench Verified (Autonomous Coding)

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

72.7%vs51.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

71.2%vs79%
MMLU-Pro (Multi-task Language Understanding)

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

84.5%vs90.5%
LMSYS Chatbot Arena Elo

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

1362ptsvs1362pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs11.6%
Terminal-Bench (Agentic Coding & Terminal Use)

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

42.1%vs46.5%
SciCode (Scientific Computing)

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

N/Avs46%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs74%
AIME (Advanced Math Competition)

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

N/Avs88%
Long-Context Reasoning

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

N/Avs77.5%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 tok/s vs22 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
Claude Sonnet 40.52s
o1-pro4.20s
Est. End-to-End Response (500 tokens)TTFT + generation time
Claude Sonnet 46.40s
o1-pro26.93s

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)
Claude Sonnet 4 Monthly API Bill
$18.45 / month
$3/1M in · $15/1M out
o1-pro Monthly API Bill
$821.25 / month
$150/1M in · $600/1M out
Claude Sonnet 4 saves approximately $802.80 / month (98%) under this workload.44.5x Savings

Claude Sonnet 4 · Strengths & Key Advantages

  • Jendela konteks 200K dengan kapasitas output maksimum hingga 64K token (SWE-bench Verified 72.7% · GPQA Diamond 71.2%)
  • Kecepatan generasi tinggi 85 token/detik dengan latensi token pertama (TTFT) hanya 520 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

o1-pro · Strengths & Key Advantages

  • Jendela konteks 200K dengan kapasitas output maksimum hingga 100K token (SWE-bench Verified 51.5% · GPQA Diamond 79%)
  • Kecepatan generasi tinggi 22 token/detik dengan latensi token pertama (TTFT) hanya 4200 ms
  • Skema harga API kompetitif (tarif $150/$600 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.

MetricClaude Sonnet 4o1-pro
Cost per Task
Estimated USD to finish one task
$3.29$94.20
Output Tokens / Task
Tokens generated per task
72K62K
Reasoning Tokens / Task
Thinking tokens burned per task
37K45K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureClaude Sonnet 4o1-pro
Official API Model ID (SDK)claude-sonnet-4-20250501o1-pro
API ProtocolAnthropic Messages API + AWS Bedrock + Vertex AIOpenAI Responses API & Chat Completions v1
Release Date2025-052025-03
Knowledge CutoffMarch 2025October 2023
ArchitectureHybrid Multimodal Reasoning TransformerHigh-compute reasoning transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)4,000 – 10,000 RPM (Tier 4 + Priority 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)Standard rate up to 200K tokens; 2x input/output tier above 200K tokensFlat rate ($150/1M in) across full 200K window
Prompt Cache Policy & TTL$0.3/1M cached read (90% off); 5-min default & 1-hour extended TTLAutomatic prefix caching at $37.5/1M (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 & SandboxNative Web Search Citations + Code Execution Tool + MCP ConnectorsNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportCustom Model Tuning via Amazon Bedrock & Prompt 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)
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 ClassificationAnthropic RSP ASL-2 / ASL-3 Constitutional Safety EvaluatedOpenAI 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
Output Modalitiestexttext

Claude Sonnet 4 vs o1-pro: Jawaban Cepat (FAQ)

Which is more intelligent, Claude Sonnet 4 or o1-pro?

Claude Sonnet 4 is more intelligent. It scores 58 compared with 57 on the composite Intelligence Index.

Which model is faster?

Claude Sonnet 4 is faster, generating 85 tokens per second compared with 22 tokens per second.

Which model is cheaper to run?

Claude Sonnet 4 is cheaper at $2.31 per 1M tokens blended, compared with $116.25 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude Sonnet 4 has lower latency, with a time to first token of 0.52s compared with 4.20s.

Kesimpulan

Baik Claude Sonnet 4 (Sangat cocok untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun o1-pro (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Claude Sonnet 4 unggul dalam penalaran dan pemrograman, Claude Sonnet 4 memberikan kecepatan generasi token lebih tinggi, dan Claude Sonnet 4 lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Claude Sonnet 4 atau o1-pro?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Claude Sonnet 4 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Claude Sonnet 4 vs o1-pro?+

Claude Sonnet 4 mengenakan biaya $3.00 / $15.00 per 1M token input/output, sedangkan o1-pro sebesar $150.00 / $600.00. Secara keseluruhan, Claude Sonnet 4 lebih hemat biaya.

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

Claude Sonnet 4 mendukung konteks 200K token dibandingkan 200K token pada o1-pro, sementara Claude Sonnet 4 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 Anthropic & OpenAI serta evaluasi benchmark independen (2026).