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Claude Opus 4.5 vs Nemotron 3 Ultra

Detailed technical comparison between Claude Opus 4.5 (Anthropic) 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

Claude Opus 4.5: 6 WinsvsNemotron 3 Ultra: 0 Wins
Context Leader

Nemotron 3 Ultra

512,288 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Nemotron 3 Ultra

$0.50 / MTok
Anthropicactive

Claude Opus 4.5

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...

View Claude Opus 4.5 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
SpecificationClaude Opus 4.5Nemotron 3 Ultra
ProviderAnthropicNvidia
Context Window200,000 tokens512,288 tokens🏆
Agent Suitability93/100N/A
Time to First Token (TTFT)550 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-11-242026-06-04

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.5

$5.00

Nemotron 3 Ultra

$0.50

Output Price per Million Tokens

Claude Opus 4.5

$25.00

Nemotron 3 Ultra

$2.20

💡 Cost Ratio: Nemotron 3 Ultra is 10.0x cheaper per input token than Claude Opus 4.5.

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
92.8%vs87.8%+5.0% Claude Opus 4.5
Claude Opus 4.5 🏆
Nemotron 3 Ultra
HumanEvalPython coding & logic synthesis
94.2%vs87.0%+7.2% Claude Opus 4.5
Claude Opus 4.5 🏆
Nemotron 3 Ultra
MATHComplex mathematical problem solving
87.5%vs68.2%+19.3% Claude Opus 4.5
Claude Opus 4.5 🏆
Nemotron 3 Ultra
GPQAGraduate-level expert reasoning
76.0%vs49.6%+26.4% Claude Opus 4.5
Claude Opus 4.5 🏆
Nemotron 3 Ultra
HellaSwagCommonsense reasoning and inference
97.2%vs85.4%+11.8% Claude Opus 4.5
Claude Opus 4.5 🏆
Nemotron 3 Ultra
MT-BenchMulti-turn conversation flow quality
9.6%vs9.1%+0.4% Claude Opus 4.5
Claude Opus 4.5 🏆
Nemotron 3 Ultra

Claude Opus 4.5 Quirks & Gotchas

  • ▸Deep analytical reasoning — best for structured problem-solving
  • ▸200K context is limiting compared to 1M of Opus 4.6+ — upgrade for long-document tasks

Nemotron 3 Ultra Quirks & Gotchas

No developer gotchas reported.

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