| Signal | Claude Opus 4 | Delta | Nemotron Nano 9B V2 |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 83 | +83 | |
Pricing | 75 | +75 | |
Context window size | 84 | +3 | |
Recency | 77 | -19 | |
Output Capacity | 75 | +55 | |
| Overall Result | 5 wins | of 6 | 1 wins |
30
days ranked higher
0
days
0
days ranked higher
Anthropic
NVIDIA
Nemotron Nano 9B V2 saves you $5238.00/month
That's $62856.00/year compared to Claude Opus 4 at your current usage level of 100K calls/month.
| Metric | Claude Opus 4 | Nemotron Nano 9B V2 | Winner |
|---|---|---|---|
| Overall Score | 82 | 72 | Claude Opus 4 |
| Rank | #67 | #144 | Claude Opus 4 |
| Quality Rank | #67 | #144 | Claude Opus 4 |
| Adoption Rank | #67 | #144 | Claude Opus 4 |
| Parameters | -- | 9B | -- |
| Context Window | 200K | 131K | Claude Opus 4 |
| Pricing | $15.00/$75.00/M | $0.04/$0.16/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Claude Opus 4 |
| Benchmarks | 83 | -- | Claude Opus 4 |
| Pricing | 75 | 0 | Claude Opus 4 |
| Context window size | 84 | 81 | Claude Opus 4 |
| Recency | 77 | 97 | Nemotron Nano 9B V2 |
| Output Capacity | 75 | 20 | Claude Opus 4 |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 82/100 (rank #67), placing it in the top 77% of all 290 models tracked.
Scores 72/100 (rank #144), placing it in the top 51% of all 290 models tracked.
Claude Opus 4 has a 10-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Nemotron Nano 9B V2 offers 100% better value per quality point. At 1M tokens/day, you'd spend $3.00/month with Nemotron Nano 9B V2 vs $1350.00/month with Claude Opus 4 - a $1347.00 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Nemotron Nano 9B V2 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (200K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.16/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (82/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Claude Opus 4 clearly outperforms Nemotron Nano 9B V2 with a significant 10.100000000000009-point lead. For most general use cases, Claude Opus 4 is the stronger choice. However, Nemotron Nano 9B V2 may still excel in niche scenarios.
Best for Quality
Claude Opus 4
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron Nano 9B V2
100% lower pricing; better value at scale
Best for Reliability
Claude Opus 4
Higher uptime and faster response speeds
Best for Prototyping
Claude Opus 4
Stronger community support and better developer experience
Best for Production
Claude Opus 4
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Opus 4 | Nemotron Nano 9B V2 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
NVIDIA
Nemotron Nano 9B V2 saves you $116.74/month
That's 100% cheaper than Claude Opus 4 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Claude Opus 4 | Nemotron Nano 9B V2 |
|---|---|---|
| Context Window | 200K | 131K |
| Max Output Tokens | 32,000 | -- |
| Open Source | No | Yes |
| Created | May 22, 2025 | Sep 5, 2025 |
Claude Opus 4 scores 82/100 (rank #67) compared to Nemotron Nano 9B V2's 72/100 (rank #144), giving it a 10-point advantage. Claude Opus 4 is the stronger overall choice, though Nemotron Nano 9B V2 may excel in specific areas like cost efficiency.
Claude Opus 4 is ranked #67 and Nemotron Nano 9B V2 is ranked #144 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Nemotron Nano 9B V2 is cheaper at $0.16/M output tokens vs Claude Opus 4's $75.00/M output tokens - 468.8x more expensive. Input token pricing: Claude Opus 4 at $15.00/M vs Nemotron Nano 9B V2 at $0.04/M.
Claude Opus 4 has a larger context window of 200,000 tokens compared to Nemotron Nano 9B V2's 131,072 tokens. A larger context window means the model can process longer documents and conversations.