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Nemotron 4 340BvsClaude Opus 4

NVIDIA vs Anthropic — Side-by-side model comparison

Claude Opus 4 leads 4/5 categories

Head-to-Head Comparison

MetricNemotron 4 340BClaude Opus 4
Provider
Arena Rank
#1
Context Window
4K
200K
Input Pricing
Free (open)/1M tokens
$5.00/1M tokens
Output Pricing
Free (open)/1M tokens
$25.00/1M tokens
Parameters
340B
Undisclosed
Open Source
Yes
No
Best For
Synthetic data generation, training pipelines
Complex reasoning, coding, agentic tasks
Release Date
Jun 14, 2024
May 22, 2025

Nemotron 4 340B

Nemotron 4 340B is NVIDIA's large language model designed specifically for generating high-quality synthetic training data. With 340 billion parameters, it can produce diverse, accurate training examples for fine-tuning smaller models. NVIDIA released it to accelerate the development of custom AI models, recognizing that high-quality training data is often the biggest bottleneck in model development.

View NVIDIA profile →

Claude Opus 4

Claude Opus 4 is Anthropic's most powerful AI model, holding the #1 position on the Chatbot Arena leaderboard. It represents a breakthrough in extended thinking and agentic capabilities, able to work autonomously on complex multi-step tasks for hours. With a 200K token context window, it excels at analyzing entire codebases, lengthy legal documents, and research papers in a single pass. The model demonstrates exceptional performance in coding (setting new benchmarks on SWE-bench), advanced reasoning, and nuanced writing tasks. Its agentic capabilities allow it to use tools, navigate computers, and execute multi-step workflows with minimal human oversight. Opus 4 is the preferred choice for enterprises requiring the highest quality output on mission-critical tasks where accuracy and depth matter more than speed or cost.

View Anthropic profile →

Key Differences: Nemotron 4 340B vs Claude Opus 4

1

Claude Opus 4 supports a larger context window (200K), allowing it to process longer documents in a single request.

2

Nemotron 4 340B is open-source (free to self-host and fine-tune) while Claude Opus 4 is proprietary (API-only access).

N

When to use Nemotron 4 340B

  • +You need to self-host or fine-tune the model
  • +Your use case involves synthetic data generation, training pipelines
View full Nemotron 4 340B specs →
C

When to use Claude Opus 4

  • +You need to process long documents (200K context)
  • +You prefer a managed API without infrastructure overhead
  • +Your use case involves complex reasoning, coding, agentic tasks
View full Claude Opus 4 specs →

The Verdict

Claude Opus 4 wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for complex reasoning, coding, agentic tasks, though Nemotron 4 340B holds an edge in synthetic data generation, training pipelines.

Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Nemotron 4 340B or Claude Opus 4?
In our head-to-head comparison, Claude Opus 4 leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Claude Opus 4 excels at complex reasoning, coding, agentic tasks, while Nemotron 4 340B is better suited for synthetic data generation, training pipelines. The best choice depends on your specific requirements, budget, and use case.
How does Nemotron 4 340B pricing compare to Claude Opus 4?
Nemotron 4 340B charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. Claude Opus 4 charges $5.00 per 1M input tokens and $25.00 per 1M output tokens. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Nemotron 4 340B and Claude Opus 4?
Nemotron 4 340B supports a 4K token context window, while Claude Opus 4 supports 200K tokens. Claude Opus 4 can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Nemotron 4 340B or Claude Opus 4 for free?
Nemotron 4 340B is a paid API model starting at Free (open) per 1M input tokens. Claude Opus 4 is a paid API model starting at $5.00 per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Nemotron 4 340B or Claude Opus 4?
Nemotron 4 340B's arena rank is not yet available, while Claude Opus 4 holds rank #1. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Nemotron 4 340B or Claude Opus 4 better for coding?
Nemotron 4 340B's primary strength is synthetic data generation, training pipelines. Claude Opus 4 is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.