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Claude Opus 4.7 vs Nemotron 3 Ultra

Detailed technical comparison between Claude Opus 4.7 (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 4.7: 6 WinsvsNemotron 3 Ultra: 0 Wins
Context Leader

Claude Opus 4.7

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 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

View Claude Opus 4.7 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 4.7Nemotron 3 Ultra
ProviderAnthropicNvidia
Context Window1,000,000 tokens๐Ÿ†512,288 tokens
Agent Suitability96/100N/A
Time to First Token (TTFT)480 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-04-162026-06-04

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

Nemotron 3 Ultra

$0.60

Output Price per Million Tokens

Claude Opus 4.7

$25.00

Nemotron 3 Ultra

$3.60

๐Ÿ’ก Cost Ratio: Nemotron 3 Ultra is 8.3x cheaper per input token than Claude Opus 4.7.

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
94.1%vs87.8%+6.3% Claude Opus 4.7
Claude Opus 4.7 ๐Ÿ†
Nemotron 3 Ultra
HumanEvalPython coding & logic synthesis
96.1%vs87.0%+9.1% Claude Opus 4.7
Claude Opus 4.7 ๐Ÿ†
Nemotron 3 Ultra
MATHComplex mathematical problem solving
91.5%vs68.2%+23.3% Claude Opus 4.7
Claude Opus 4.7 ๐Ÿ†
Nemotron 3 Ultra
GPQAGraduate-level expert reasoning
84.2%vs49.6%+34.6% Claude Opus 4.7
Claude Opus 4.7 ๐Ÿ†
Nemotron 3 Ultra
HellaSwagCommonsense reasoning and inference
98.8%vs85.4%+13.4% Claude Opus 4.7
Claude Opus 4.7 ๐Ÿ†
Nemotron 3 Ultra
MT-BenchMulti-turn conversation flow quality
9.8%vs9.1%+0.6% Claude Opus 4.7
Claude Opus 4.7 ๐Ÿ†
Nemotron 3 Ultra

Claude Opus 4.7 Quirks & Gotchas

  • โ–ธTop-tier agentic coding model โ€” excels at autonomous software engineering
  • โ–ธRequires explicit tool_choice parameter for parallel function calling to work reliably

Nemotron 3 Ultra Quirks & Gotchas

No developer gotchas reported.

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