Head-to-Head Model Comparison

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

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial

Cambia y Compara Cualquier Modelo

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

IA Agéntica y Uso de Herramientas

Nemotron 3 Super 120B A12B de NVIDIA es un modelo de IA diseñado para flujos de trabajo agénticos autónomos, llamada a herramientas y automatización compleja, con ventana de contexto de 262K, velocidad de 85 tokens/s, índice de inteligencia

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

Modelo Base de Pesos Abiertos

GPT-OSS 120B de OpenAI es un modelo de IA diseñado para autoalojamiento en servidores propios, ajuste fino (fine-tuning) y soberanía de datos, con ventana de contexto de 131K, velocidad de 95 tokens/s, índice de inteligencia de 56/100 y tar

Intelligence Index56 / 100

Input Token:

$0.15 / 1M

Output Token:

$0.60 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

45.5%

Diferencias Clave de un Vistazo

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 →

Característica	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

¿Quién gana en cada área?

At-a-glance decision framework

Código

Nemotron 3 Super 120B A12B

+5.5% SWE-bench lead

Costo

GPT-OSS 120B

1.6x cheaper monthly runtime

Velocidad

GPT-OSS 120B

+12% faster generation

Contexto

Nemotron 3 Super 120B A12B

262.1K tokens window

Puntuaciones de Benchmarks Verificadas

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

Latencia y Tiempo de Respuesta

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

Simulador Interactivo de Costos de Tokens

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

Ventana de contexto de 262K con hasta 33K tokens de salida máxima (SWE-bench Verified 51% · GPQA Diamond 64.5%)
Rendimiento ágil de 85 tokens/segundo con latencia inicial (TTFT) de solo 460 ms
Pesos abiertos (120B (12B MoE)) listos para autoalojamiento local o en nube privada mediante vLLM y Ollama

Considerations & Trade-offs

Requiere infraestructura GPU dedicada con suficiente memoria VRAM para inferencia local sin cuantización
En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

GPT-OSS 120B · Strengths & Key Advantages

Ventana de contexto de 131K con hasta 33K tokens de salida máxima (SWE-bench Verified 45.5% · GPQA Diamond 68.5%)
Rendimiento ágil de 95 tokens/segundo con latencia inicial (TTFT) de solo 480 ms
Pesos abiertos (117B (5.1B MoE)) listos para autoalojamiento local o en nube privada mediante vLLM y Ollama

Considerations & Trade-offs

Requiere infraestructura GPU dedicada con suficiente memoria VRAM para inferencia local sin cuantización
En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

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

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Característica	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: Respuestas Rápidas (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.

Veredicto

Tanto Nemotron 3 Super 120B A12B (Ideal para flujos de trabajo agénticos autónomos, llamada a herramientas y automatización compleja, sistemas RAG empresariales y automatización mediante API.) como GPT-OSS 120B (Ideal para autoalojamiento en servidores propios, ajuste fino (fine-tuning) y soberanía de datos, sistemas RAG empresariales y automatización mediante API.) destacan en producción: GPT-OSS 120B lidera en inteligencia general y programación, GPT-OSS 120B ofrece mayor velocidad de generación de tokens y GPT-OSS 120B resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Nemotron 3 Super 120B A12B o GPT-OSS 120B?+

En las pruebas de inteligencia compuesta y resolución de código, GPT-OSS 120B obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Nemotron 3 Super 120B A12B frente a GPT-OSS 120B?+

Nemotron 3 Super 120B A12B cuesta $0.30 / $0.80 por millón de tokens de entrada/salida, mientras que GPT-OSS 120B cuesta $0.15 / $0.60. En costo combinado, GPT-OSS 120B es la opción más económica.

¿Qué modelo tiene mayor ventana de contexto y menor latencia?+

Nemotron 3 Super 120B A12B cuenta con 262.1K tokens de contexto frente a 131.1K tokens de GPT-OSS 120B. En velocidad de inferencia, GPT-OSS 120B ofrece un rendimiento superior.

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

Cambia y Compara Cualquier Modelo

Nemotron 3 Super 120B A12B

GPT-OSS 120B

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

Nemotron 3 Super 120B A12B · Strengths & Key Advantages

Considerations & Trade-offs

GPT-OSS 120B · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

Nemotron 3 Super 120B A12B vs GPT-OSS 120B: Respuestas Rápidas (FAQ)

Veredicto

Preguntas frecuentes

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