Nemotron 3 Ultra 550B A55B vs GPT-OSS 120B
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Nemotron 3 Ultra 550B A55B dari NVIDIA dan GPT-OSS 120B dari OpenAI adalah dua model AI unggulan. Nemotron 3 Ultra 550B A55B menawarkan jendela konteks 1M token dengan harga $1.00/$3.00 per 1 juta token, sedangkan GPT-OSS 120B menyediakan konteks 131.1K token seharga $0.15/$0.60 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.
Nemotron 3 Ultra 550B A55B
Model Dasar Bobot TerbukaNemotron 3 Ultra 550B A55B dari NVIDIA adalah model AI yang dirancang untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, menghadirkan jendela konteks 1M, kecepatan 65 token/detik, indeks kecerdasan 60/100, serta t
$1.00 / 1M
$3.00 / 1M
1M tokens
64.5%
GPT-OSS 120B
Model Dasar Bobot TerbukaGPT-OSS 120B dari OpenAI adalah model AI yang dirancang untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, menghadirkan jendela konteks 131K, kecepatan 95 token/detik, indeks kecerdasan 56/100, serta tarif $0.15/$
$0.15 / 1M
$0.60 / 1M
131.1K tokens
45.5%
Perbedaan Utama Sekilas
- GPT-OSS 120B is 5.8x cheaper for API usage (input + output tokens combined).
- Nemotron 3 Ultra 550B A55B has a larger context window (1M vs 131K tokens).
- GPT-OSS 120B is faster at 95 tok/s vs 65 tok/s.
- Nemotron 3 Ultra 550B A55B leads on SWE-bench coding (64.5% vs 45.5%).
| Feature | Nemotron 3 Ultra 550B A55B | GPT-OSS 120B |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 60 | 56 |
Provider | NVIDIA | OpenAI |
Input Price Cost per million input tokens | $1.00 / 1M | $0.15 / 1M |
Output Price Cost per million output tokens | $3.00 / 1M | $0.60 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.68 / 1M | $0.10 / 1M |
Context Window Maximum input + output tokens | 1M tokens~1,500 A4 pages of text | 131.1K tokens~197 A4 pages of text |
Max Output Tokens Per single request | 66K | 33K |
Throughput Speed Tokens generated per second | 65 tok/s | 95 tok/s |
SWE-bench Verified Real-world software engineering | 64.5% | 45.5% |
GPQA Diamond Graduate-level reasoning | 76% | 68.5% |
Cached Input Price Prompt caching discount per 1M tokens | $0.25 / 1M | $0.01 / 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.
Nemotron 3 Ultra 550B A55B · Strengths & Key Advantages
- Jendela konteks 1M dengan kapasitas output maksimum hingga 66K token (SWE-bench Verified 64.5% · GPQA Diamond 76%)
- Kecepatan generasi tinggi 65 token/detik dengan latensi token pertama (TTFT) hanya 620 ms
- Bobot terbuka (550B (55B MoE)) 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
GPT-OSS 120B · Strengths & Key Advantages
- Jendela konteks 131K dengan kapasitas output maksimum hingga 33K token (SWE-bench Verified 45.5% · GPQA Diamond 68.5%)
- Kecepatan generasi tinggi 95 token/detik dengan latensi token pertama (TTFT) hanya 480 ms
- Bobot terbuka (117B (5.1B MoE)) 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
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Nemotron 3 Ultra 550B A55B | GPT-OSS 120B |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.85 | $0.14 |
Output Tokens / Task Tokens generated per task | 48K | 45K |
Reasoning Tokens / Task Thinking tokens burned per task | 24K | 22K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Nemotron 3 Ultra 550B A55B | GPT-OSS 120B |
|---|---|---|
| Official API Model ID (SDK) | nemotron-3-ultra-550b-a55b | gpt-oss-120b |
| API Protocol | OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-06 | 2025-08 |
| Knowledge Cutoff | February 2026 | June 2024 |
| Architecture | Colossal Sparse MoE (550B Total / 55B Active) | Sparse MoE transformer with reasoning |
| Parameters | 550B (55B active MoE) | 117B (5.1B active MoE) |
| Enterprise Rate Limits (RPM / TPM) | Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud | Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud |
| Long-Context Tier (>128K/200K) | Flat rate ($1/1M in) across full 1000K window | Flat rate ($0.15/1M in) across full 131K window |
| Prompt Cache Policy & TTL | Cached input at $0.25/1M tokens | Automatic prefix caching at $0.015/1M (no extra cache-write fee) |
| Computer Use / GUI Agent | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) |
| 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 tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory) | Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory) |
| Multimodal Token Billing | Text BPE (~4 chars/token) | Text BPE (~4 chars/token) |
| Quantization & Min GPU VRAM | BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 341 GB VRAM (4-bit Quantized) · 1183 GB VRAM (Native BF16) | BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 73 GB VRAM (4-bit Quantized) · 252 GB VRAM (Native BF16) |
| Safety & Frontier Classification | Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma) | OpenAI Preparedness Framework Audited & System Card Published |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | 100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control | 100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control |
| Input Modalities | text | text |
| Output Modalities | text | text |
Nemotron 3 Ultra 550B A55B vs GPT-OSS 120B: Jawaban Cepat (FAQ)
Which is more intelligent, Nemotron 3 Ultra 550B A55B or GPT-OSS 120B?
Nemotron 3 Ultra 550B A55B is more intelligent. It scores 60 compared with 56 on the composite Intelligence Index.
Which model is faster?
GPT-OSS 120B is faster, generating 95 tokens per second compared with 65 tokens per second.
Which model is cheaper to run?
GPT-OSS 120B is cheaper at $0.10 per 1M tokens blended, compared with $0.68 (7:2:1 cache:input:output ratio).
Which model has lower latency?
GPT-OSS 120B has lower latency, with a time to first token of 0.48s compared with 0.62s.
Which model has a larger context window?
Nemotron 3 Ultra 550B A55B has a larger context window, supporting 1M tokens compared with 131.1K tokens.
Kesimpulan
Baik Nemotron 3 Ultra 550B A55B (Sangat cocok untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun GPT-OSS 120B (Sangat cocok untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Nemotron 3 Ultra 550B A55B unggul dalam penalaran dan pemrograman, GPT-OSS 120B memberikan kecepatan generasi token lebih tinggi, dan GPT-OSS 120B lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Nemotron 3 Ultra 550B A55B atau GPT-OSS 120B?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Nemotron 3 Ultra 550B A55B memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Nemotron 3 Ultra 550B A55B vs GPT-OSS 120B?+
Nemotron 3 Ultra 550B A55B mengenakan biaya $1.00 / $3.00 per 1M token input/output, sedangkan GPT-OSS 120B sebesar $0.15 / $0.60. Secara keseluruhan, GPT-OSS 120B lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Nemotron 3 Ultra 550B A55B mendukung konteks 1M token dibandingkan 131.1K token pada GPT-OSS 120B, sementara GPT-OSS 120B 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 Plus vs Nemotron 3 Ultra 550B A55B: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- GPT-OSS 120B vs DeepSeek V4 Pro: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- GPT-OSS 120B vs Llama 5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Llama 4 Behemoth vs Nemotron 3 Ultra 550B A55B: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Nemotron 3 Super 120B A12B vs GPT-OSS 120B: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Nemotron 3 Ultra 550B A55B vs Gemini 4 Argon: 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 NVIDIA & OpenAI serta evaluasi benchmark independen (2026).