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GPT-4o-mini vs Nemotron 3 Super

Detailed technical comparison between GPT-4o-mini (OpenAI) and Nemotron 3 Super (Nvidia). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

GPT-4o-mini: 6 WinsvsNemotron 3 Super: 0 Wins
Context Leader

Nemotron 3 Super

1,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Nemotron 3 Super

$0.08 / MTok
OpenAIactive

GPT-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

View GPT-4o-mini Full Specs โ†’
Nvidiaactive

Nemotron 3 Super

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...

View Nemotron 3 Super Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGPT-4o-miniNemotron 3 Super
ProviderOpenAINvidia
Context Window128,000 tokens1,000,000 tokens๐Ÿ†
Agent Suitability82/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-07-182026-03-11

API Pricing Comparison

Input Price per Million Tokens

GPT-4o-mini

$0.15

Nemotron 3 Super

$0.08

Output Price per Million Tokens

GPT-4o-mini

$0.60

Nemotron 3 Super

$0.45

๐Ÿ’ก Cost Ratio: Nemotron 3 Super is 1.9x cheaper per input token than GPT-4o-mini.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
82.0%vs78.8%+3.2% GPT-4o-mini
GPT-4o-mini ๐Ÿ†
Nemotron 3 Super
HumanEvalPython coding & logic synthesis
84.0%vs77.0%+7.0% GPT-4o-mini
GPT-4o-mini ๐Ÿ†
Nemotron 3 Super
MATHComplex mathematical problem solving
70.2%vs54.2%+16.0% GPT-4o-mini
GPT-4o-mini ๐Ÿ†
Nemotron 3 Super
GPQAGraduate-level expert reasoning
45.0%vs39.6%+5.4% GPT-4o-mini
GPT-4o-mini ๐Ÿ†
Nemotron 3 Super
HellaSwagCommonsense reasoning and inference
84.7%vs81.8%+2.9% GPT-4o-mini
GPT-4o-mini ๐Ÿ†
Nemotron 3 Super
MT-BenchMulti-turn conversation flow quality
8.6%vs8.4%+0.2% GPT-4o-mini
GPT-4o-mini ๐Ÿ†
Nemotron 3 Super

GPT-4o-mini Quirks & Gotchas

  • โ–ธUltra-low latency โ€” best TTFT in the OpenAI lineup
  • โ–ธTool calling limited to single-step โ€” not suitable for complex agentic pipelines

Nemotron 3 Super Quirks & Gotchas

No developer gotchas reported.

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