Head-to-Head Model Comparison

Nemotron 3 Super 120B A12B vs GPT-OSS 120B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Nemotron 3 Super 120B A12BProfile

GPT-OSS 120BProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

NVIDIA

Nemotron 3 Super 120B A12B

Model Agen Otonom & Alat

Nemotron 3 Super 120B A12B dari NVIDIA adalah model AI yang dirancang untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, menghadirkan jendela konteks 262K, kecepatan 85 token/detik, indeks kecerdas

Intelligence Index53 / 100

Input Token:

$0.30 / 1M

Output Token:

$0.80 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

51%

OpenAI

GPT-OSS 120B

Model Dasar Bobot Terbuka

GPT-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 $0.15/$

Intelligence Index56 / 100

Input Token:

$0.15 / 1M

Output Token:

$0.60 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

45.5%

Perbedaan Utama Sekilas

GPT-OSS 120B is 1.6x cheaper for API usage (input + output tokens combined).
Nemotron 3 Super 120B A12B has a larger context window (262K vs 131K tokens).
GPT-OSS 120B is faster at 95 tok/s vs 85 tok/s.
Nemotron 3 Super 120B A12B leads on SWE-bench coding (51.0% vs 45.5%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Nemotron 3 Super 120B A12B	GPT-OSS 120B
Intelligence Index Composite reasoning & knowledge score (0-100)	53	56
Provider	NVIDIA	OpenAI
Input Price Cost per million input tokens	$0.30 / 1M	$0.15 / 1M
Output Price Cost per million output tokens	$0.80 / 1M	$0.60 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.18 / 1M	$0.10 / 1M
Context Window Maximum input + output tokens	262.1K tokens~393 A4 pages of text	131.1K tokens~197 A4 pages of text
Max Output Tokens Per single request	33K	33K
Throughput Speed Tokens generated per second	85 tok/s	95 tok/s
SWE-bench Verified Real-world software engineering	51%	45.5%
GPQA Diamond Graduate-level reasoning	64.5%	68.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.06 / 1M	$0.01 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Nemotron 3 Super 120B A12B

+5.5% SWE-bench lead

Cost

GPT-OSS 120B

1.6x cheaper monthly runtime

Speed

GPT-OSS 120B

+12% faster generation

Context

Nemotron 3 Super 120B A12B

262.1K tokens window

Skor Benchmark Terverifikasi

Official evaluation metrics verified by independent third-party research labs.

Nemotron 3 Super 120B A12BGPT-OSS 120B

SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

51%vs45.5%

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

64.5%vs68.5%

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

82.8%vs80.5%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1350ptsvs1330pts

Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

N/Avs9.8%

Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

45%vs30.5%

SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

N/Avs33%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs58.5%

AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

74%vs84.5%

Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

82%vs71%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 tok/s vs95 tok/s

Latensi & Waktu Respons

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

Nemotron 3 Super 120B A12B0.46s

GPT-OSS 120B0.48s

Est. End-to-End Response (500 tokens)TTFT + generation time

Nemotron 3 Super 120B A12B6.34s

GPT-OSS 120B5.74s

Simulator Biaya Token Interaktif

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Nemotron 3 Super 120B A12B Monthly API Bill

$1.26 / month

$0.3/1M in · $0.8/1M out

GPT-OSS 120B Monthly API Bill

$0.79 / month

$0.15/1M in · $0.6/1M out

GPT-OSS 120B saves approximately $0.47 / month (38%) under this workload.1.6x Savings

Nemotron 3 Super 120B A12B · Strengths & Key Advantages

Jendela konteks 262K dengan kapasitas output maksimum hingga 33K token (SWE-bench Verified 51% · GPQA Diamond 64.5%)
Kecepatan generasi tinggi 85 token/detik dengan latensi token pertama (TTFT) hanya 460 ms
Bobot terbuka (120B (12B 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 Super 120B A12B	GPT-OSS 120B
Cost per Task Estimated USD to finish one task	$0.38	$0.14
Output Tokens / Task Tokens generated per task	38K	45K
Reasoning Tokens / Task Thinking tokens burned per task	18K	22K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Nemotron 3 Super 120B A12B	GPT-OSS 120B
Official API Model ID (SDK)	nemotron-3-super-120b-a12b	gpt-oss-120b
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI Responses API & Chat Completions v1
Release Date	2026-03	2025-08
Knowledge Cutoff	January 2026	June 2024
Architecture	High-Throughput Sparse MoE (120B Total / 12B Active)	Sparse MoE transformer with reasoning
Parameters	120B (12B 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 ($0.3/1M in) across full 262K window	Flat rate ($0.15/1M in) across full 131K window
Prompt Cache Policy & TTL	Cached input at $0.06/1M 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) · 74 GB VRAM (4-bit Quantized) · 258 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 Super 120B A12B vs GPT-OSS 120B: Jawaban Cepat (FAQ)

Which is more intelligent, Nemotron 3 Super 120B A12B or GPT-OSS 120B?

GPT-OSS 120B is more intelligent. It scores 56 compared with 53 on the composite Intelligence Index.

Which model is faster?

GPT-OSS 120B is faster, generating 95 tokens per second compared with 85 tokens per second.

Which model is cheaper to run?

GPT-OSS 120B is cheaper at $0.10 per 1M tokens blended, compared with $0.18 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Nemotron 3 Super 120B A12B has lower latency, with a time to first token of 0.46s compared with 0.48s.

Which model has a larger context window?

Nemotron 3 Super 120B A12B has a larger context window, supporting 262.1K tokens compared with 131.1K tokens.

Kesimpulan

Baik Nemotron 3 Super 120B A12B (Sangat cocok untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, 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: GPT-OSS 120B 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 Super 120B A12B atau GPT-OSS 120B?+

Dalam indeks kecerdasan gabungan dan benchmark coding, GPT-OSS 120B memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Nemotron 3 Super 120B A12B vs GPT-OSS 120B?+

Nemotron 3 Super 120B A12B mengenakan biaya $0.30 / $0.80 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 Super 120B A12B mendukung konteks 262.1K token dibandingkan 131.1K token pada GPT-OSS 120B, sementara GPT-OSS 120B unggul dalam kecepatan output token per detik.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Nemotron 3 Super 120B A12B vs GPT-OSS 120B

Ganti & Bandingkan Model Apa Saja

Nemotron 3 Super 120B A12B

GPT-OSS 120B

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Nemotron 3 Super 120B A12B · Strengths & Key Advantages

Considerations & Trade-offs

GPT-OSS 120B · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Nemotron 3 Super 120B A12B vs GPT-OSS 120B: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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