Claude 3.5 Sonnet vs GPT-4o
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Claude 3.5 Sonnet dari Anthropic dan GPT-4o dari OpenAI adalah dua model AI unggulan. Claude 3.5 Sonnet 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.
Ganti & Bandingkan Model Apa Saja
Select any AI models from our verified benchmark database to generate live side-by-side matrices.
Claude 3.5 Sonnet
Pemimpin Pemrograman & KodeClaude 3.5 Sonnet dari Anthropic adalah model AI yang dirancang untuk rekayasa perangkat lunak otonom, refactoring multi-file, dan debugging mendalam, menghadirkan jendela konteks 200K, kecepatan 80 token/detik, indeks kecerdasan 50/100, se
$3.00 / 1M
$15.00 / 1M
200K tokens
65%
GPT-4o
Model Suara & Audio AsliGPT-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
$2.50 / 1M
$10.00 / 1M
128K tokens
38.8%
Perbedaan Utama Sekilas
- GPT-4o is 1.3x cheaper for API usage (input + output tokens combined).
- Claude 3.5 Sonnet has a larger context window (200K vs 128K tokens).
- GPT-4o is faster at 105 tok/s vs 80 tok/s.
- Claude 3.5 Sonnet leads on SWE-bench coding (65.0% vs 38.8%).
| Feature | Claude 3.5 Sonnet | GPT-4o |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 50 | 41 |
Provider | Anthropic | OpenAI |
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 text | 128K tokens~192 A4 pages of text |
Max Output Tokens Per single request | 8K | 16K |
Throughput Speed Tokens generated per second | 80 tok/s | 105 tok/s |
SWE-bench Verified Real-world software engineering | 65% | 38.8% |
GPQA Diamond Graduate-level reasoning | 59.4% | 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 frameworkSkor Benchmark Terverifikasi
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
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.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
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.
Claude 3.5 Sonnet · Strengths & Key Advantages
- Jendela konteks 200K dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 65% · GPQA Diamond 59.4%)
- Kecepatan generasi tinggi 80 token/detik dengan latensi token pertama (TTFT) hanya 480 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.
| Metric | Claude 3.5 Sonnet | GPT-4o |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.20 | $0.68 |
Output Tokens / Task Tokens generated per task | 24K | 24K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Claude 3.5 Sonnet | GPT-4o |
|---|---|---|
| Official API Model ID (SDK) | claude-3-5-sonnet-20240601 | gpt-4o |
| API Protocol | Anthropic Messages API + AWS Bedrock + Vertex AI | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2024-06 | 2024-05 |
| Knowledge Cutoff | April 2024 | October 2023 |
| Architecture | Next-Gen Multimodal Hybrid Transformer | Omni-Multimodal Dense |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 TPM | 10,000 – 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 tokens | Flat rate ($2.5/1M in) across full 128K window |
| Prompt Cache Policy & TTL | $0.3/1M cached read (90% off); 5-min default & 1-hour extended TTL | Automatic prefix caching at $1.25/1M (no extra cache-write fee) |
| 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 | Native Web Search Citations + Code Execution Tool + MCP Connectors | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Custom Model Tuning via Amazon Bedrock & Prompt Distillation | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) |
| 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) · Audio (~25–32 tokens/sec) |
| 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 | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated | OpenAI Preparedness Framework Audited & System Card Published |
| 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, audio |
| Output Modalities | text | text, audio |
Claude 3.5 Sonnet vs GPT-4o: Jawaban Cepat (FAQ)
Which is more intelligent, Claude 3.5 Sonnet or GPT-4o?
Claude 3.5 Sonnet is more intelligent. It scores 50 compared with 41 on the composite Intelligence Index.
Which model is faster?
GPT-4o is faster, generating 105 tokens per second compared with 80 tokens per second.
Which model is cheaper to run?
Claude 3.5 Sonnet 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 0.48s.
Which model has a larger context window?
Claude 3.5 Sonnet has a larger context window, supporting 200K tokens compared with 128K tokens.
Kesimpulan
Baik Claude 3.5 Sonnet (Sangat cocok untuk rekayasa perangkat lunak otonom, refactoring multi-file, dan debugging mendalam, 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: Claude 3.5 Sonnet unggul dalam penalaran dan pemrograman, GPT-4o memberikan kecepatan generasi token lebih tinggi, dan Claude 3.5 Sonnet lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Claude 3.5 Sonnet atau GPT-4o?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Claude 3.5 Sonnet memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Claude 3.5 Sonnet vs GPT-4o?+
Claude 3.5 Sonnet mengenakan biaya $3.00 / $15.00 per 1M token input/output, sedangkan GPT-4o sebesar $2.50 / $10.00. Secara keseluruhan, Claude 3.5 Sonnet lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Claude 3.5 Sonnet mendukung konteks 200K token dibandingkan 128K token pada GPT-4o, sementara GPT-4o 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.
Related reading
- Claude 3.5 Sonnet vs Claude 3 Opus: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Claude 3.7 Sonnet vs GPT-4o: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- DeepSeek V3 vs GPT-4o: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- GPT-4o vs Gemini 1.5 Pro: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- GPT-4o vs GPT-4 Turbo: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Grok 2 vs GPT-4o: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
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).