o3 vs o3-pro
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
o3 dari OpenAI dan o3-pro dari OpenAI adalah dua model AI unggulan. o3 menawarkan jendela konteks 200K token dengan harga $2.00/$8.00 per 1 juta token, sedangkan o3-pro menyediakan konteks 200K token seharga $20.00/$80.00 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.
o3
Mesin Penalaran Mendalamo3 dari OpenAI adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 200K, kecepatan 75 token/detik, indeks kecerdasan 56/100, serta tarif $2/$8 per 1M to
$2.00 / 1M
$8.00 / 1M
200K tokens
69.1%
o3-pro
Mesin Penalaran Mendalamo3-pro dari OpenAI adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 200K, kecepatan 30 token/detik, indeks kecerdasan 58/100, serta tarif $20/$80 per
$20.00 / 1M
$80.00 / 1M
200K tokens
71.5%
Perbedaan Utama Sekilas
- o3 is 10.0x cheaper for API usage (input + output tokens combined).
- o3 is faster at 75 tok/s vs 30 tok/s.
- o3-pro leads on SWE-bench coding (71.5% vs 69.1%).
| Feature | o3 | o3-pro |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 56 | 58 |
Provider | OpenAI | OpenAI |
Input Price Cost per million input tokens | $2.00 / 1M | $20.00 / 1M |
Output Price Cost per million output tokens | $8.00 / 1M | $80.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $1.55 / 1M | $15.50 / 1M |
Context Window Maximum input + output tokens | 200K tokens~300 A4 pages of text | 200K tokens~300 A4 pages of text |
Max Output Tokens Per single request | 100K | 100K |
Throughput Speed Tokens generated per second | 75 tok/s | 30 tok/s |
SWE-bench Verified Real-world software engineering | 69.1% | 71.5% |
GPQA Diamond Graduate-level reasoning | 76.5% | 79.5% |
Cached Input Price Prompt caching discount per 1M tokens | $0.50 / 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.
o3 · Strengths & Key Advantages
- Jendela konteks 200K dengan kapasitas output maksimum hingga 100K token (SWE-bench Verified 69.1% · GPQA Diamond 76.5%)
- Kecepatan generasi tinggi 75 token/detik dengan latensi token pertama (TTFT) hanya 2800 ms
- Skema harga API kompetitif (tarif $2/$8 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
o3-pro · Strengths & Key Advantages
- Jendela konteks 200K dengan kapasitas output maksimum hingga 100K token (SWE-bench Verified 71.5% · GPQA Diamond 79.5%)
- Kecepatan generasi tinggi 30 token/detik dengan latensi token pertama (TTFT) hanya 5200 ms
- Skema harga API kompetitif (tarif $20/$80 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 | o3 | o3-pro |
|---|---|---|
Cost per Task Estimated USD to finish one task | $1.35 | $11.68 |
Output Tokens / Task Tokens generated per task | 48K | 58K |
Reasoning Tokens / Task Thinking tokens burned per task | 26K | 38K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | o3 | o3-pro |
|---|---|---|
| Official API Model ID (SDK) | o3 | o3-pro |
| API Protocol | OpenAI Responses API & Chat Completions v1 | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2025-04 | 2025-06 |
| Knowledge Cutoff | June 2024 | June 2024 |
| Architecture | Reasoning transformer with adjustable thinking effort | High-effort reasoning transformer |
| 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) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($2/1M in) across full 200K window | Flat rate ($20/1M in) across full 200K window |
| Prompt Cache Policy & TTL | Automatic prefix caching at $0.5/1M (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 |
o3 vs o3-pro: Jawaban Cepat (FAQ)
Which is more intelligent, o3 or o3-pro?
o3-pro is more intelligent. It scores 58 compared with 56 on the composite Intelligence Index.
Which model is faster?
o3 is faster, generating 75 tokens per second compared with 30 tokens per second.
Which model is cheaper to run?
o3 is cheaper at $1.55 per 1M tokens blended, compared with $15.50 (7:2:1 cache:input:output ratio).
Which model has lower latency?
o3 has lower latency, with a time to first token of 2.80s compared with 5.20s.
Kesimpulan
Baik o3 (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun o3-pro (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: o3-pro unggul dalam penalaran dan pemrograman, o3 memberikan kecepatan generasi token lebih tinggi, dan o3 lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, o3 atau o3-pro?+
Dalam indeks kecerdasan gabungan dan benchmark coding, o3-pro memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API o3 vs o3-pro?+
o3 mengenakan biaya $2.00 / $8.00 per 1M token input/output, sedangkan o3-pro sebesar $20.00 / $80.00. Secara keseluruhan, o3 lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
o3 mendukung konteks 200K token dibandingkan 200K token pada o3-pro, sementara o3 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
- Command A Reasoning vs o3: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- GPT-5 Chat vs o3-pro: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Grok 4.20 (Reasoning) vs o3: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- OpenAI o1 vs o3: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- o3-pro vs Claude Opus 5.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- o3-pro vs DeepSeek R1: 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 & OpenAI serta evaluasi benchmark independen (2026).