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GPT-5.5 vs Nemotron 3 Ultra

Detailed technical comparison between GPT-5.5 (OpenAI) 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

GPT-5.5: 6 WinsvsNemotron 3 Ultra: 0 Wins
Context Leader

GPT-5.5

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Nemotron 3 Ultra

$0.60 / MTok
OpenAIactive

GPT-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

View GPT-5.5 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
SpecificationGPT-5.5Nemotron 3 Ultra
ProviderOpenAINvidia
Context Window1,050,000 tokens🏆512,288 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)380 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-04-242026-06-04

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5

$5.00

Nemotron 3 Ultra

$0.60

Output Price per Million Tokens

GPT-5.5

$30.00

Nemotron 3 Ultra

$3.60

💡 Cost Ratio: Nemotron 3 Ultra is 8.3x cheaper per input token than GPT-5.5.

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
94.2%vs87.8%+6.4% GPT-5.5
GPT-5.5 🏆
Nemotron 3 Ultra
HumanEvalPython coding & logic synthesis
96.8%vs87.0%+9.8% GPT-5.5
GPT-5.5 🏆
Nemotron 3 Ultra
MATHComplex mathematical problem solving
93.5%vs68.2%+25.3% GPT-5.5
GPT-5.5 🏆
Nemotron 3 Ultra
GPQAGraduate-level expert reasoning
84.2%vs49.6%+34.6% GPT-5.5
GPT-5.5 🏆
Nemotron 3 Ultra
HellaSwagCommonsense reasoning and inference
99.0%vs85.4%+13.6% GPT-5.5
GPT-5.5 🏆
Nemotron 3 Ultra
MT-BenchMulti-turn conversation flow quality
9.7%vs9.1%+0.6% GPT-5.5
GPT-5.5 🏆
Nemotron 3 Ultra

GPT-5.5 Quirks & Gotchas

  • ▸Best for JSON schema adherence — strict mode available via response_format parameter
  • ▸Requires explicit tool_choice for deterministic function calling

Nemotron 3 Ultra Quirks & Gotchas

No developer gotchas reported.

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