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Claude Opus 4.6 vs Nemotron 3 Ultra

Detailed technical comparison between Claude Opus 4.6 (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 4.6: 6 WinsvsNemotron 3 Ultra: 0 Wins
Context Leader

Claude Opus 4.6

1,000,000 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 4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

View Claude Opus 4.6 Full Specs β†’
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 β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationClaude Opus 4.6Nemotron 3 Ultra
ProviderAnthropicNvidia
Context Window1,000,000 tokensπŸ†512,288 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)500 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-02-042026-06-04

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.6

$5.00

Nemotron 3 Ultra

$0.50

Output Price per Million Tokens

Claude Opus 4.6

$25.00

Nemotron 3 Ultra

$2.20

πŸ’‘ Cost Ratio: Nemotron 3 Ultra is 10.0x cheaper per input token than Claude Opus 4.6.

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 (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
92.5%vs87.8%+4.7% Claude Opus 4.6
Claude Opus 4.6 πŸ†
Nemotron 3 Ultra
HumanEvalPython coding & logic synthesis
94.5%vs87.0%+7.5% Claude Opus 4.6
Claude Opus 4.6 πŸ†
Nemotron 3 Ultra
MATHComplex mathematical problem solving
88.9%vs68.2%+20.7% Claude Opus 4.6
Claude Opus 4.6 πŸ†
Nemotron 3 Ultra
GPQAGraduate-level expert reasoning
79.8%vs49.6%+30.2% Claude Opus 4.6
Claude Opus 4.6 πŸ†
Nemotron 3 Ultra
HellaSwagCommonsense reasoning and inference
97.5%vs85.4%+12.1% Claude Opus 4.6
Claude Opus 4.6 πŸ†
Nemotron 3 Ultra
MT-BenchMulti-turn conversation flow quality
9.7%vs9.1%+0.5% Claude Opus 4.6
Claude Opus 4.6 πŸ†
Nemotron 3 Ultra

Claude Opus 4.6 Quirks & Gotchas

  • β–ΈBest for long-context document analysis and legal review
  • β–ΈTool calling requires structured prompt β€” prone to verbose refusal without explicit output schema

Nemotron 3 Ultra Quirks & Gotchas

No developer gotchas reported.

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