Claude Haiku 4.5 vs GPT-5 Chat
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Claude Haiku 4.5 dari Anthropic dan GPT-5 Chat dari OpenAI adalah dua model AI unggulan. Claude Haiku 4.5 menawarkan jendela konteks 200K token dengan harga $1.00/$5.00 per 1 juta token, sedangkan GPT-5 Chat menyediakan konteks 128K token seharga $0.00/$0.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Claude Haiku 4.5
Inferensi Super CepatClaude Haiku 4.5 dari Anthropic adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 200K, kecepatan 140 token/detik, indeks kecerdasan 54/100, sert
$1.00 / 1M
$5.00 / 1M
200K tokens
58.2%
GPT-5 Chat
Model Unggulan Garis DepanGPT-5 Chat dari OpenAI adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 128K, kecepatan 140 token/detik, indeks kecerdasan 56/100, serta akses g
$0.00 / 1M
$0.00 / 1M
128K tokens
70%
Perbedaan Utama Sekilas
- GPT-5 Chat is 1.0x cheaper for API usage (input + output tokens combined).
- Claude Haiku 4.5 has a larger context window (200K vs 128K tokens).
- GPT-5 Chat is faster at 140 tok/s vs 140 tok/s.
- GPT-5 Chat leads on SWE-bench coding (70.0% vs 58.2%).
| Feature | Claude Haiku 4.5 | GPT-5 Chat |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 54 | 56 |
Provider | Anthropic | OpenAI |
Input Price Cost per million input tokens | $1.00 / 1M | $0.00 / 1M |
Output Price Cost per million output tokens | $5.00 / 1M | $0.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.77 / 1M | $0.00 / 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 | 64K | 16K |
Throughput Speed Tokens generated per second | 140 tok/s | 140 tok/s |
SWE-bench Verified Real-world software engineering | 58.2% | 70% |
GPQA Diamond Graduate-level reasoning | 62.1% | 79% |
Cached Input Price Prompt caching discount per 1M tokens | $0.10 / 1M | $0.00 / 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 Haiku 4.5 · Strengths & Key Advantages
- Jendela konteks 200K dengan kapasitas output maksimum hingga 64K token (SWE-bench Verified 58.2% · GPQA Diamond 62.1%)
- Kecepatan generasi tinggi 140 token/detik dengan latensi token pertama (TTFT) hanya 280 ms
- Skema harga API kompetitif (tarif $1/$5 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
- Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi
GPT-5 Chat · Strengths & Key Advantages
- Jendela konteks 128K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 70% · GPQA Diamond 79%)
- Kecepatan generasi tinggi 140 token/detik dengan latensi token pertama (TTFT) hanya 1050 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
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Claude Haiku 4.5 | GPT-5 Chat |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.70 | $1.50 |
Output Tokens / Task Tokens generated per task | 20K | 54K |
Reasoning Tokens / Task Thinking tokens burned per task | 10K | 28K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Claude Haiku 4.5 | GPT-5 Chat |
|---|---|---|
| Official API Model ID (SDK) | claude-haiku-4-5-20251001 | gpt-5-chat |
| API Protocol | Anthropic Messages API + AWS Bedrock + Vertex AI | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2025-10 | 2025-08 |
| Knowledge Cutoff | July 2025 | September 2024 |
| Architecture | Lightweight High-Speed Multimodal Transformer | Chat-tuned unified reasoning model |
| 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 | Free across full context window (only KV-cache VRAM scales) |
| Prompt Cache Policy & TTL | $0.1/1M cached read (90% off); 5-min default & 1-hour extended TTL | Automatic prefix KV-caching in vLLM / SGLang (0 cost) |
| 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 |
| 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) |
| 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 |
| Output Modalities | text | text |
Claude Haiku 4.5 vs GPT-5 Chat: Jawaban Cepat (FAQ)
Which is more intelligent, Claude Haiku 4.5 or GPT-5 Chat?
GPT-5 Chat is more intelligent. It scores 56 compared with 54 on the composite Intelligence Index.
Which model is cheaper to run?
GPT-5 Chat is cheaper at $0.00 per 1M tokens blended, compared with $0.77 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Claude Haiku 4.5 has lower latency, with a time to first token of 0.28s compared with 1.05s.
Which model has a larger context window?
Claude Haiku 4.5 has a larger context window, supporting 200K tokens compared with 128K tokens.
Kesimpulan
Baik Claude Haiku 4.5 (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun GPT-5 Chat (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 Chat unggul dalam penalaran dan pemrograman, Claude Haiku 4.5 memberikan kecepatan generasi token lebih tinggi, dan GPT-5 Chat lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Claude Haiku 4.5 atau GPT-5 Chat?+
Dalam indeks kecerdasan gabungan dan benchmark coding, GPT-5 Chat memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Claude Haiku 4.5 vs GPT-5 Chat?+
Claude Haiku 4.5 mengenakan biaya $1.00 / $5.00 per 1M token input/output, sedangkan GPT-5 Chat sebesar $0.00 / $0.00. Secara keseluruhan, GPT-5 Chat lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Claude Haiku 4.5 mendukung konteks 200K token dibandingkan 128K token pada GPT-5 Chat, sementara Claude Haiku 4.5 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 4.5 vs Claude Haiku 4.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
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- GPT-5 mini vs Claude Haiku 4.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- GPT-5 nano vs Claude Haiku 4.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- GPT-5 nano vs GPT-5 Chat: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Aion-3.0 vs Aion-Mini: 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).