GPT-5.2 Chat vs Claude Opus 4.5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
GPT-5.2 Chat dari OpenAI dan Claude Opus 4.5 dari Anthropic adalah dua model AI unggulan. GPT-5.2 Chat menawarkan jendela konteks 128K token dengan harga $0.00/$0.00 per 1 juta token, sedangkan Claude Opus 4.5 menyediakan konteks 200K token seharga $5.00/$25.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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GPT-5.2 Chat
Model Unggulan Garis DepanGPT-5.2 Chat dari OpenAI adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 128K, kecepatan 135 token/detik, indeks kecerdasan 63/100, serta akses
$0.00 / 1M
$0.00 / 1M
128K tokens
75.4%
Claude Opus 4.5
Model Unggulan Garis DepanClaude Opus 4.5 dari Anthropic adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 200K, kecepatan 62 token/detik, indeks kecerdasan 63/100, serta
$5.00 / 1M
$25.00 / 1M
200K tokens
77.2%
Perbedaan Utama Sekilas
- GPT-5.2 Chat is 1.0x cheaper for API usage (input + output tokens combined).
- Claude Opus 4.5 has a larger context window (200K vs 128K tokens).
- GPT-5.2 Chat is faster at 135 tok/s vs 62 tok/s.
- Claude Opus 4.5 leads on SWE-bench coding (77.2% vs 75.4%).
| Feature | GPT-5.2 Chat | Claude Opus 4.5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 63 | 63 |
Provider | OpenAI | Anthropic |
Input Price Cost per million input tokens | $0.00 / 1M | $5.00 / 1M |
Output Price Cost per million output tokens | $0.00 / 1M | $25.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.00 / 1M | $3.85 / 1M |
Context Window Maximum input + output tokens | 128K tokens~192 A4 pages of text | 200K tokens~300 A4 pages of text |
Max Output Tokens Per single request | 16K | 64K |
Throughput Speed Tokens generated per second | 135 tok/s | 62 tok/s |
SWE-bench Verified Real-world software engineering | 75.4% | 77.2% |
GPQA Diamond Graduate-level reasoning | 76.5% | 74.8% |
Cached Input Price Prompt caching discount per 1M tokens | $0.00 / 1M | $0.50 / 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.
GPT-5.2 Chat · Strengths & Key Advantages
- Jendela konteks 128K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 75.4% · GPQA Diamond 76.5%)
- Kecepatan generasi tinggi 135 token/detik dengan latensi token pertama (TTFT) hanya 1100 ms
- Skema harga API kompetitif (akses gratis open-weights) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
- Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
- Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi
Claude Opus 4.5 · Strengths & Key Advantages
- Jendela konteks 200K dengan kapasitas output maksimum hingga 64K token (SWE-bench Verified 77.2% · GPQA Diamond 74.8%)
- Kecepatan generasi tinggi 62 token/detik dengan latensi token pertama (TTFT) hanya 2100 ms
- Skema harga API kompetitif (tarif $5/$25 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 | GPT-5.2 Chat | Claude Opus 4.5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $1.90 | $5.86 |
Output Tokens / Task Tokens generated per task | 54K | 73K |
Reasoning Tokens / Task Thinking tokens burned per task | 29K | 43K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | GPT-5.2 Chat | Claude Opus 4.5 |
|---|---|---|
| Official API Model ID (SDK) | gpt-5-2-chat | claude-opus-4-5-20251101 |
| API Protocol | OpenAI Responses API & Chat Completions v1 | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Release Date | 2025-12 | 2025-11 |
| Knowledge Cutoff | August 2025 | March 2025 |
| Architecture | Chat-tuned unified reasoning model | Hybrid Reasoning |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Free across full context window (only KV-cache VRAM scales) | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Automatic prefix KV-caching in vLLM / SGLang (0 cost) | $0.5/1M cached read (90% off); 5-min default & 1-hour extended TTL |
| 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 | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Sandbox | Native Web Search tool + Hosted Code Interpreter & File Search RAG | Native Web Search Citations + Code Execution Tool + MCP Connectors |
| Official Fine-Tuning Support | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) | Custom Model Tuning via Amazon Bedrock & Prompt 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 | OpenAI Preparedness Framework Audited & System Card Published | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated |
| 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 |
GPT-5.2 Chat vs Claude Opus 4.5: Jawaban Cepat (FAQ)
Which model is faster?
GPT-5.2 Chat is faster, generating 135 tokens per second compared with 62 tokens per second.
Which model is cheaper to run?
GPT-5.2 Chat is cheaper at $0.00 per 1M tokens blended, compared with $3.85 (7:2:1 cache:input:output ratio).
Which model has lower latency?
GPT-5.2 Chat has lower latency, with a time to first token of 1.10s compared with 2.10s.
Which model has a larger context window?
Claude Opus 4.5 has a larger context window, supporting 200K tokens compared with 128K tokens.
Kesimpulan
Baik GPT-5.2 Chat (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Claude Opus 4.5 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: GPT-5.2 Chat unggul dalam penalaran dan pemrograman, GPT-5.2 Chat memberikan kecepatan generasi token lebih tinggi, dan GPT-5.2 Chat lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, GPT-5.2 Chat atau Claude Opus 4.5?+
Dalam indeks kecerdasan gabungan dan benchmark coding, GPT-5.2 Chat memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API GPT-5.2 Chat vs Claude Opus 4.5?+
GPT-5.2 Chat mengenakan biaya $0.00 / $0.00 per 1M token input/output, sedangkan Claude Opus 4.5 sebesar $5.00 / $25.00. Secara keseluruhan, GPT-5.2 Chat lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
GPT-5.2 Chat mendukung konteks 128K token dibandingkan 200K token pada Claude Opus 4.5, sementara GPT-5.2 Chat 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 Sonnet 4.6 vs Claude Opus 4.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- GPT-5.1 vs Claude Opus 4.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- GPT-5.2 Chat vs GPT-5.1: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- GPT-5.2 vs GPT-5.2 Chat: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Kimi K2 Thinking Turbo vs Claude Opus 4.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- o3 vs Claude Opus 4.5: 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 OpenAI & Anthropic serta evaluasi benchmark independen (2026).