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Gemini 3.1 Pro vs Nemotron 3 Ultra

Detailed technical comparison between Gemini 3.1 Pro (Google) and Nemotron 3 Ultra (Nvidia). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Gemini 3.1 Pro: 6 WinsvsNemotron 3 Ultra: 0 Wins
Context Leader

Gemini 3.1 Pro

2,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Nemotron 3 Ultra

$0.50 / MTok
Googleactive

Gemini 3.1 Pro

Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.

View Gemini 3.1 Pro Full Specs →
Nvidiaactive

Nemotron 3 Ultra

NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...

View Nemotron 3 Ultra Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGemini 3.1 ProNemotron 3 Ultra
ProviderGoogleNvidia
Context Window2,000,000 tokens🏆512,288 tokens
Agent Suitability93/100N/A
Time to First Token (TTFT)420 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-04-202026-06-04

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Pro

$2.00

Nemotron 3 Ultra

$0.50

Output Price per Million Tokens

Gemini 3.1 Pro

$12.00

Nemotron 3 Ultra

$2.20

💡 Cost Ratio: Nemotron 3 Ultra is 4.0x cheaper per input token than Gemini 3.1 Pro.

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.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

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

MMLUGeneral knowledge & multi-task understanding
92.8%vs87.8%+5.0% Gemini 3.1 Pro
Gemini 3.1 Pro 🏆
Nemotron 3 Ultra
HumanEvalPython coding & logic synthesis
94.6%vs87.0%+7.6% Gemini 3.1 Pro
Gemini 3.1 Pro 🏆
Nemotron 3 Ultra
MATHComplex mathematical problem solving
88.0%vs68.2%+19.8% Gemini 3.1 Pro
Gemini 3.1 Pro 🏆
Nemotron 3 Ultra
GPQAGraduate-level expert reasoning
81.3%vs49.6%+31.7% Gemini 3.1 Pro
Gemini 3.1 Pro 🏆
Nemotron 3 Ultra
HellaSwagCommonsense reasoning and inference
98.4%vs85.4%+13.0% Gemini 3.1 Pro
Gemini 3.1 Pro 🏆
Nemotron 3 Ultra
MT-BenchMulti-turn conversation flow quality
9.5%vs9.1%+0.4% Gemini 3.1 Pro
Gemini 3.1 Pro 🏆
Nemotron 3 Ultra

Gemini 3.1 Pro Quirks & Gotchas

  • ▸Best model for massive context — 2M token window is class-leading
  • ▸Tool calling requires explicit schema definition in Google AI Studio

Nemotron 3 Ultra Quirks & Gotchas

No developer gotchas reported.

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