| Signal | Nemotron 3 Super | Delta | R1 0528 |
|---|---|---|---|
Capabilities | 67 | -- | |
Pricing | 1 | -2 | |
Context window size | 86 | +3 | |
Recency | 100 | +23 | |
Output Capacity | 20 | -60 | |
Benchmarks | 0 | -79 | |
| Overall Result | 2 wins | of 6 | 3 wins |
4
days higher
1
days
25
days higher
NVIDIA
DeepSeek
Nemotron 3 Super saves you $117.50/month
That's $1410.00/year compared to R1 0528 at your current usage level of 100K calls/month.
| Metric | Nemotron 3 Super | R1 0528 | Winner |
|---|---|---|---|
| Overall Score | 74 | 78 | R1 0528 |
| Rank | #120 | #95 | R1 0528 |
| Quality Rank | #120 | #95 | R1 0528 |
| Adoption Rank | #120 | #95 | R1 0528 |
| Parameters | 120B | -- | -- |
| Context Window | 262K | 164K | Nemotron 3 Super |
| Pricing | $0.10/$0.50/M | $0.45/$2.15/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Nemotron 3 Super |
| Pricing | 1 | 2 | R1 0528 |
| Context window size | 86 | 83 | Nemotron 3 Super |
| Recency | 100 | 77 | Nemotron 3 Super |
| Output Capacity | 20 | 80 | R1 0528 |
| Benchmarks | -- | 80 | R1 0528 |
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 74/100 (rank #120), placing it in the top 59% of all 290 models tracked.
Scores 78/100 (rank #95), placing it in the top 68% of all 290 models tracked.
With only a 4-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Nemotron 3 Super offers 77% better value per quality point. At 1M tokens/day, you'd spend $9.00/month with Nemotron 3 Super vs $39.00/month with R1 0528 - a $30.00 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 3 Super also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (78/100) correlates with better nuance, coherence, and style in long-form content
R1 0528 has a moderate advantage with a 4-point lead in composite score. It wins on more signal dimensions, but Nemotron 3 Super has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Nemotron 3 Super
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron 3 Super
77% lower pricing; better value at scale
Best for Reliability
Nemotron 3 Super
Higher uptime and faster response speeds
Best for Prototyping
Nemotron 3 Super
Stronger community support and better developer experience
Best for Production
Nemotron 3 Super
Wider enterprise adoption and proven at scale
by NVIDIA
| Capability | Nemotron 3 Super | R1 0528 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
NVIDIA
DeepSeek
Nemotron 3 Super saves you $2.61/month
That's 77% cheaper than R1 0528 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 | Nemotron 3 Super | R1 0528 |
|---|---|---|
| Context Window | 262K | 164K |
| Max Output Tokens | -- | 65,536 |
| Open Source | Yes | Yes |
| Created | Mar 11, 2026 | May 28, 2025 |
R1 0528 scores 78/100 (rank #95) compared to Nemotron 3 Super's 74/100 (rank #120), giving it a 4-point advantage. R1 0528 is the stronger overall choice, though Nemotron 3 Super may excel in specific areas like cost efficiency.
Nemotron 3 Super is ranked #120 and R1 0528 is ranked #95 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 3 Super is cheaper at $0.50/M output tokens vs R1 0528's $2.15/M output tokens - 4.3x more expensive. Input token pricing: Nemotron 3 Super at $0.10/M vs R1 0528 at $0.45/M.
Nemotron 3 Super has a larger context window of 262,144 tokens compared to R1 0528's 163,840 tokens. A larger context window means the model can process longer documents and conversations.