| Signal | Gemini 2.5 Pro | Delta | Nemotron Nano 12B 2 VL |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 85 | +85 | |
Pricing | 10 | +9 | |
Context window size | 96 | +14 | |
Recency | 82 | -18 | |
Output Capacity | 80 | +60 | |
| Overall Result | 5 wins | of 6 | 1 wins |
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NVIDIA
Nemotron Nano 12B 2 VL saves you $575.00/month
That's $6900.00/year compared to Gemini 2.5 Pro at your current usage level of 100K calls/month.
| Metric | Gemini 2.5 Pro | Nemotron Nano 12B 2 VL | Winner |
|---|---|---|---|
| Overall Score | 85 | 73 | Gemini 2.5 Pro |
| Rank | #46 | #138 | Gemini 2.5 Pro |
| Quality Rank | #46 | #138 | Gemini 2.5 Pro |
| Adoption Rank | #46 | #138 | Gemini 2.5 Pro |
| Parameters | -- | 12B | -- |
| Context Window | 1049K | 131K | Gemini 2.5 Pro |
| Pricing | $1.25/$10.00/M | $0.20/$0.60/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Gemini 2.5 Pro |
| Benchmarks | 85 | -- | Gemini 2.5 Pro |
| Pricing | 10 | 1 | Gemini 2.5 Pro |
| Context window size | 96 | 81 | Gemini 2.5 Pro |
| Recency | 82 | 100 | Nemotron Nano 12B 2 VL |
| Output Capacity | 80 | 20 | Gemini 2.5 Pro |
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 85/100 (rank #46), placing it in the top 84% of all 290 models tracked.
Scores 73/100 (rank #138), placing it in the top 53% of all 290 models tracked.
Gemini 2.5 Pro has a 12-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Nemotron Nano 12B 2 VL offers 93% better value per quality point. At 1M tokens/day, you'd spend $12.00/month with Nemotron Nano 12B 2 VL vs $168.75/month with Gemini 2.5 Pro - a $156.75 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 12B 2 VL also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (85/100) 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
Gemini 2.5 Pro clearly outperforms Nemotron Nano 12B 2 VL with a significant 12.200000000000003-point lead. For most general use cases, Gemini 2.5 Pro is the stronger choice. However, Nemotron Nano 12B 2 VL may still excel in niche scenarios.
Best for Quality
Gemini 2.5 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron Nano 12B 2 VL
93% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Pro
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Pro
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Pro
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 2.5 Pro | Nemotron Nano 12B 2 VL |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
NVIDIA
Nemotron Nano 12B 2 VL saves you $13.17/month
That's 92% cheaper than Gemini 2.5 Pro 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 | Gemini 2.5 Pro | Nemotron Nano 12B 2 VL |
|---|---|---|
| Context Window | 1.0M | 131K |
| Max Output Tokens | 65,536 | -- |
| Open Source | No | Yes |
| Created | Jun 17, 2025 | Oct 28, 2025 |
Gemini 2.5 Pro scores 85/100 (rank #46) compared to Nemotron Nano 12B 2 VL's 73/100 (rank #138), giving it a 12-point advantage. Gemini 2.5 Pro is the stronger overall choice, though Nemotron Nano 12B 2 VL may excel in specific areas like cost efficiency.
Gemini 2.5 Pro is ranked #46 and Nemotron Nano 12B 2 VL is ranked #138 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 12B 2 VL is cheaper at $0.60/M output tokens vs Gemini 2.5 Pro's $10.00/M output tokens - 16.7x more expensive. Input token pricing: Gemini 2.5 Pro at $1.25/M vs Nemotron Nano 12B 2 VL at $0.20/M.
Gemini 2.5 Pro has a larger context window of 1,048,576 tokens compared to Nemotron Nano 12B 2 VL's 131,072 tokens. A larger context window means the model can process longer documents and conversations.