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Claude Opus 4.8 vs Nemotron 3 Ultra

Detailed technical comparison between Claude Opus 4.8 (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.

โšก Executive Summary & Verdict

Comparison Snapshot

Claude Opus 4.8: 6 WinsvsNemotron 3 Ultra: 0 Wins
Context Leader

Claude Opus 4.8

1,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Nemotron 3 Ultra

$0.60 / MTok
Anthropicactive

Claude Opus 4.8

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

View Claude Opus 4.8 Full Specs โ†’
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 โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationClaude Opus 4.8Nemotron 3 Ultra
ProviderAnthropicNvidia
Context Window1,000,000 tokens๐Ÿ†512,288 tokens
Agent Suitability97/100N/A
Time to First Token (TTFT)520 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetabeta
API AvailableYesYes
Released Date2026-05-272026-06-04

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.8

$5.00

Nemotron 3 Ultra

$0.60

Output Price per Million Tokens

Claude Opus 4.8

$25.00

Nemotron 3 Ultra

$3.60

๐Ÿ’ก Cost Ratio: Nemotron 3 Ultra is 8.3x cheaper per input token than Claude Opus 4.8.

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
95.4%vs87.8%+7.6% Claude Opus 4.8
Claude Opus 4.8 ๐Ÿ†
Nemotron 3 Ultra
HumanEvalPython coding & logic synthesis
97.2%vs87.0%+10.2% Claude Opus 4.8
Claude Opus 4.8 ๐Ÿ†
Nemotron 3 Ultra
MATHComplex mathematical problem solving
94.1%vs68.2%+25.9% Claude Opus 4.8
Claude Opus 4.8 ๐Ÿ†
Nemotron 3 Ultra
GPQAGraduate-level expert reasoning
86.5%vs49.6%+36.9% Claude Opus 4.8
Claude Opus 4.8 ๐Ÿ†
Nemotron 3 Ultra
HellaSwagCommonsense reasoning and inference
99.2%vs85.4%+13.8% Claude Opus 4.8
Claude Opus 4.8 ๐Ÿ†
Nemotron 3 Ultra
MT-BenchMulti-turn conversation flow quality
9.8%vs9.1%+0.7% Claude Opus 4.8
Claude Opus 4.8 ๐Ÿ†
Nemotron 3 Ultra

Claude Opus 4.8 Quirks & Gotchas

  • โ–ธBest-in-class for autonomous code repair and multi-agent orchestration
  • โ–ธPreview model โ€” API may introduce breaking changes without notice

Nemotron 3 Ultra Quirks & Gotchas

No developer gotchas reported.

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