| Signal | Nemotron 3 Super | Delta | o3 Mini |
|---|---|---|---|
Capabilities | 67 | -- | |
Pricing | 1 | -4 | |
Context window size | 86 | +2 | |
Recency | 100 | +43 | |
Output Capacity | 20 | -63 | |
Benchmarks | 0 | -79 | |
| Overall Result | 2 wins | of 6 | 3 wins |
9
days ranked higher
3
days
18
days ranked higher
NVIDIA
OpenAI
Nemotron 3 Super saves you $295.00/month
That's $3540.00/year compared to o3 Mini at your current usage level of 100K calls/month.
| Metric | Nemotron 3 Super | o3 Mini | Winner |
|---|---|---|---|
| Overall Score | 74 | 73 | Nemotron 3 Super |
| Rank | #120 | #125 | Nemotron 3 Super |
| Quality Rank | #120 | #125 | Nemotron 3 Super |
| Adoption Rank | #120 | #125 | Nemotron 3 Super |
| Parameters | 120B | -- | -- |
| Context Window | 262K | 200K | Nemotron 3 Super |
| Pricing | $0.10/$0.50/M | $1.10/$4.40/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Nemotron 3 Super |
| Pricing | 1 | 4 | o3 Mini |
| Context window size | 86 | 84 | Nemotron 3 Super |
| Recency | 100 | 57 | Nemotron 3 Super |
| Output Capacity | 20 | 83 | o3 Mini |
| Benchmarks | -- | 79 | o3 Mini |
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 73/100 (rank #125), placing it in the top 57% of all 290 models tracked.
With only a 0-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 89% better value per quality point. At 1M tokens/day, you'd spend $9.00/month with Nemotron 3 Super vs $82.50/month with o3 Mini - a $73.50 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 (74/100) correlates with better nuance, coherence, and style in long-form content
Nemotron 3 Super and o3 Mini are extremely close in overall performance (only 0.09999999999999432 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Nemotron 3 Super
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron 3 Super
89% 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 | o3 Mini |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
NVIDIA
OpenAI
Nemotron 3 Super saves you $6.48/month
That's 89% cheaper than o3 Mini 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 | o3 Mini |
|---|---|---|
| Context Window | 262K | 200K |
| Max Output Tokens | -- | 100,000 |
| Open Source | Yes | No |
| Created | Mar 11, 2026 | Jan 31, 2025 |
Nemotron 3 Super scores 74/100 (rank #120) compared to o3 Mini's 73/100 (rank #125), giving it a 0-point advantage. Nemotron 3 Super is the stronger overall choice, though o3 Mini may excel in specific areas like certain benchmarks.
Nemotron 3 Super is ranked #120 and o3 Mini is ranked #125 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 o3 Mini's $4.40/M output tokens - 8.8x more expensive. Input token pricing: Nemotron 3 Super at $0.10/M vs o3 Mini at $1.10/M.
Nemotron 3 Super has a larger context window of 262,144 tokens compared to o3 Mini's 200,000 tokens. A larger context window means the model can process longer documents and conversations.