DeepSeek V4 Pro vs Claude Opus 5.5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
DeepSeek V4 Pro dari DeepSeek dan Claude Opus 5.5 dari Anthropic adalah dua model AI unggulan. DeepSeek V4 Pro menawarkan jendela konteks 1M token dengan harga $1.32/$3.96 per 1 juta token, sedangkan Claude Opus 5.5 menyediakan konteks 1M token seharga $4.00/$20.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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DeepSeek V4 Pro
Model Agen Otonom & AlatDeepSeek V4 Pro dari DeepSeek adalah model AI yang dirancang untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, menghadirkan jendela konteks 1M, kecepatan 80 token/detik, indeks kecerdasan 53/100,
$1.32 / 1M
$3.96 / 1M
1M tokens
68.5%
Claude Opus 5.5
Model Unggulan Garis DepanClaude Opus 5.5 dari Anthropic adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 1M, kecepatan 78 token/detik, indeks kecerdasan 94/100, serta ta
$4.00 / 1M
$20.00 / 1M
1M tokens
84.6%
Perbedaan Utama Sekilas
- DeepSeek V4 Pro is 4.3x cheaper for API usage (input + output tokens combined).
- DeepSeek V4 Pro is faster at 80 tok/s vs 78 tok/s.
- Claude Opus 5.5 leads on SWE-bench coding (84.6% vs 68.5%).
| Feature | DeepSeek V4 Pro | Claude Opus 5.5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 53 | 94 |
Provider | DeepSeek | Anthropic |
Input Price Cost per million input tokens | $1.32 / 1M | $4.00 / 1M |
Output Price Cost per million output tokens | $3.96 / 1M | $20.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.76 / 1M | $3.08 / 1M |
Context Window Maximum input + output tokens | 1M tokens~1,500 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 128K | 128K |
Throughput Speed Tokens generated per second | 80 tok/s | 78 tok/s |
SWE-bench Verified Real-world software engineering | 68.5% | 84.6% |
GPQA Diamond Graduate-level reasoning | 81.2% | 82.3% |
Cached Input Price Prompt caching discount per 1M tokens | $0.14 / 1M | $0.40 / 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.
DeepSeek V4 Pro · Strengths & Key Advantages
- Jendela konteks 1M dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 68.5% · GPQA Diamond 81.2%)
- Kecepatan generasi tinggi 80 token/detik dengan latensi token pertama (TTFT) hanya 580 ms
- Bobot terbuka (MoE (Colossal)) 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
Claude Opus 5.5 · Strengths & Key Advantages
- Jendela konteks 1M dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 84.6% · GPQA Diamond 82.3%)
- Kecepatan generasi tinggi 78 token/detik dengan latensi token pertama (TTFT) hanya 1400 ms
- Skema harga API kompetitif (tarif $4/$20 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 | DeepSeek V4 Pro | Claude Opus 5.5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.67 | $3.85 |
Output Tokens / Task Tokens generated per task | 52K | 68K |
Reasoning Tokens / Task Thinking tokens burned per task | 25K | 42K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | DeepSeek V4 Pro | Claude Opus 5.5 |
|---|---|---|
| Official API Model ID (SDK) | deepseek-reasoner | claude-opus-5-5-20260901 |
| API Protocol | OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Release Date | 2026-08 | 2026-09 |
| Knowledge Cutoff | May 2026 | June 2026 |
| Architecture | Next-Gen Sparse MoE with Agent RL Tuning | Extended Autonomous Hybrid Reasoning Transformer |
| Parameters | MoE (Colossal) | Confidential |
| Enterprise Rate Limits (RPM / TPM) | Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($1.32/1M in) across full 1000K window | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Automatic prefix caching at $0.14/1M (no extra cache-write fee) | $0.4/1M cached read (90% off); 5-min default & 1-hour extended TTL |
| Computer Use / GUI Agent | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) | 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 | Native Web Search Citations + Code Execution Tool + MCP Connectors |
| Official Fine-Tuning Support | Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory) | Custom Model Tuning via Amazon Bedrock & Prompt Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) |
| Quantization & Min GPU VRAM | BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 43 GB VRAM (4-bit Quantized) · 151 GB VRAM (Native BF16) | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) |
| Safety & Frontier Classification | Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma) | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | 100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text | text, vision |
| Output Modalities | text | text |
DeepSeek V4 Pro vs Claude Opus 5.5: Jawaban Cepat (FAQ)
Which is more intelligent, DeepSeek V4 Pro or Claude Opus 5.5?
Claude Opus 5.5 is more intelligent. It scores 94 compared with 53 on the composite Intelligence Index.
Which model is faster?
DeepSeek V4 Pro is faster, generating 80 tokens per second compared with 78 tokens per second.
Which model is cheaper to run?
DeepSeek V4 Pro is cheaper at $0.76 per 1M tokens blended, compared with $3.08 (7:2:1 cache:input:output ratio).
Which model has lower latency?
DeepSeek V4 Pro has lower latency, with a time to first token of 0.58s compared with 1.40s.
Kesimpulan
Baik DeepSeek V4 Pro (Sangat cocok untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Claude Opus 5.5 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Claude Opus 5.5 unggul dalam penalaran dan pemrograman, DeepSeek V4 Pro memberikan kecepatan generasi token lebih tinggi, dan DeepSeek V4 Pro lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, DeepSeek V4 Pro atau Claude Opus 5.5?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Claude Opus 5.5 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API DeepSeek V4 Pro vs Claude Opus 5.5?+
DeepSeek V4 Pro mengenakan biaya $1.32 / $3.96 per 1M token input/output, sedangkan Claude Opus 5.5 sebesar $4.00 / $20.00. Secara keseluruhan, DeepSeek V4 Pro lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
DeepSeek V4 Pro mendukung konteks 1M token dibandingkan 1M token pada Claude Opus 5.5, sementara DeepSeek V4 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.
Related reading
- Claude Mythos 5.1 vs Claude Opus 5.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
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- Claude Opus 5 vs Claude Opus 5.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Claude Sonnet 5.5 vs DeepSeek V4 Pro: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Command A Plus vs Claude Opus 5.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- DeepSeek V4 Pro vs GPT-6 Astra: 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 DeepSeek & Anthropic serta evaluasi benchmark independen (2026).