GPT-5.5 Instant vs GPT-5.5 Pro
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
GPT-5.5 Instant dari OpenAI dan GPT-5.5 Pro dari OpenAI adalah dua model AI unggulan. GPT-5.5 Instant menawarkan jendela konteks 400K token dengan harga $0.75/$6.00 per 1 juta token, sedangkan GPT-5.5 Pro menyediakan konteks 1.05M token seharga $50.00/$300.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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GPT-5.5 Instant
Model Ringan & Hemat BiayaGPT-5.5 Instant dari OpenAI adalah model AI yang dirancang untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, menghadirkan jendela konteks 400K, kecepatan 168 token/detik, indeks kecerdasan 65/100, serta tarif
$0.75 / 1M
$6.00 / 1M
400K tokens
74.5%
GPT-5.5 Pro
Model Unggulan Garis DepanGPT-5.5 Pro dari OpenAI adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 1.1M, kecepatan 42 token/detik, indeks kecerdasan 87/100, serta tarif $
$50.00 / 1M
$300.00 / 1M
1.05M tokens
82.6%
Perbedaan Utama Sekilas
- GPT-5.5 Instant is 53.1x cheaper for API usage (input + output tokens combined).
- GPT-5.5 Pro has a larger context window (1M vs 400K tokens).
- GPT-5.5 Instant is faster at 168 tok/s vs 42 tok/s.
- GPT-5.5 Pro leads on SWE-bench coding (82.6% vs 74.5%).
| Feature | GPT-5.5 Instant | GPT-5.5 Pro |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 65 | 87 |
Provider | OpenAI | OpenAI |
Input Price Cost per million input tokens | $0.75 / 1M | $50.00 / 1M |
Output Price Cost per million output tokens | $6.00 / 1M | $300.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.80 / 1M | $43.50 / 1M |
Context Window Maximum input + output tokens | 400K tokens~600 A4 pages of text | 1.05M tokens~1,575 A4 pages of text |
Max Output Tokens Per single request | 128K | 128K |
Throughput Speed Tokens generated per second | 168 tok/s | 42 tok/s |
SWE-bench Verified Real-world software engineering | 74.5% | 82.6% |
GPQA Diamond Graduate-level reasoning | 75% | 81.2% |
Cached Input Price Prompt caching discount per 1M tokens | $0.07 / 1M | $5.00 / 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.
GPT-5.5 Instant · Strengths & Key Advantages
- Jendela konteks 400K dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 74.5% · GPQA Diamond 75%)
- Kecepatan generasi tinggi 168 token/detik dengan latensi token pertama (TTFT) hanya 780 ms
- Skema harga API kompetitif (tarif $0.75/$6 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-5.5 Pro · Strengths & Key Advantages
- Jendela konteks 1.1M dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 82.6% · GPQA Diamond 81.2%)
- Kecepatan generasi tinggi 42 token/detik dengan latensi token pertama (TTFT) hanya 4800 ms
- Skema harga API kompetitif (tarif $50/$300 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-5.5 Instant | GPT-5.5 Pro |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.95 | $66.50 |
Output Tokens / Task Tokens generated per task | 52K | 78K |
Reasoning Tokens / Task Thinking tokens burned per task | 26K | 52K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | GPT-5.5 Instant | GPT-5.5 Pro |
|---|---|---|
| Official API Model ID (SDK) | gpt-5-5-instant | gpt-5-5-pro |
| API Protocol | OpenAI Responses API & Chat Completions v1 | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-05 | 2026-04 |
| Knowledge Cutoff | December 2025 | December 2025 |
| Architecture | Low-latency compact reasoning model | Maximum-accuracy unified reasoning model |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.75/1M in) across full 400K window | Flat rate ($50/1M in) across full 1050K window |
| Prompt Cache Policy & TTL | Automatic prefix caching at $0.075/1M (no extra cache-write fee) | Automatic prefix caching at $5/1M (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 tool + Hosted Code Interpreter & File Search RAG | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) | 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 | OpenAI Preparedness Framework Audited & System Card Published | 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 |
GPT-5.5 Instant vs GPT-5.5 Pro: Jawaban Cepat (FAQ)
Which is more intelligent, GPT-5.5 Instant or GPT-5.5 Pro?
GPT-5.5 Pro is more intelligent. It scores 87 compared with 65 on the composite Intelligence Index.
Which model is faster?
GPT-5.5 Instant is faster, generating 168 tokens per second compared with 42 tokens per second.
Which model is cheaper to run?
GPT-5.5 Instant is cheaper at $0.80 per 1M tokens blended, compared with $43.50 (7:2:1 cache:input:output ratio).
Which model has lower latency?
GPT-5.5 Instant has lower latency, with a time to first token of 0.78s compared with 4.80s.
Which model has a larger context window?
GPT-5.5 Pro has a larger context window, supporting 1.05M tokens compared with 400K tokens.
Kesimpulan
Baik GPT-5.5 Instant (Sangat cocok untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun GPT-5.5 Pro (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: GPT-5.5 Pro unggul dalam penalaran dan pemrograman, GPT-5.5 Instant memberikan kecepatan generasi token lebih tinggi, dan GPT-5.5 Instant lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, GPT-5.5 Instant atau GPT-5.5 Pro?+
Dalam indeks kecerdasan gabungan dan benchmark coding, GPT-5.5 Pro memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API GPT-5.5 Instant vs GPT-5.5 Pro?+
GPT-5.5 Instant mengenakan biaya $0.75 / $6.00 per 1M token input/output, sedangkan GPT-5.5 Pro sebesar $50.00 / $300.00. Secara keseluruhan, GPT-5.5 Instant lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
GPT-5.5 Instant mendukung konteks 400K token dibandingkan 1.05M token pada GPT-5.5 Pro, sementara GPT-5.5 Instant 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
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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 & OpenAI serta evaluasi benchmark independen (2026).