| Signal | GPT-5.2 | Delta | Nemotron Nano 12B 2 VL |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 89 | +89 | |
Pricing | 14 | +13 | |
Context window size | 89 | +8 | |
Recency | 100 | -- | |
Output Capacity | 85 | +65 | |
| Overall Result | 5 wins | of 6 | 0 wins |
30
days ranked higher
0
days
0
days ranked higher
OpenAI
NVIDIA
Nemotron Nano 12B 2 VL saves you $825.00/month
That's $9900.00/year compared to GPT-5.2 at your current usage level of 100K calls/month.
| Metric | GPT-5.2 | Nemotron Nano 12B 2 VL | Winner |
|---|---|---|---|
| Overall Score | 93 | 73 | GPT-5.2 |
| Rank | #5 | #138 | GPT-5.2 |
| Quality Rank | #5 | #138 | GPT-5.2 |
| Adoption Rank | #5 | #138 | GPT-5.2 |
| Parameters | -- | 12B | -- |
| Context Window | 400K | 131K | GPT-5.2 |
| Pricing | $1.75/$14.00/M | $0.20/$0.60/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-5.2 |
| Benchmarks | 89 | -- | GPT-5.2 |
| Pricing | 14 | 1 | GPT-5.2 |
| Context window size | 89 | 81 | GPT-5.2 |
| Recency | 100 | 100 | GPT-5.2 |
| Output Capacity | 85 | 20 | GPT-5.2 |
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 93/100 (rank #5), placing it in the top 99% of all 290 models tracked.
Scores 73/100 (rank #138), placing it in the top 53% of all 290 models tracked.
GPT-5.2 has a 20-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Nemotron Nano 12B 2 VL offers 95% better value per quality point. At 1M tokens/day, you'd spend $12.00/month with Nemotron Nano 12B 2 VL vs $236.25/month with GPT-5.2 - a $224.25 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 (400K 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 (93/100) 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
GPT-5.2 clearly outperforms Nemotron Nano 12B 2 VL with a significant 20.10000000000001-point lead. For most general use cases, GPT-5.2 is the stronger choice. However, Nemotron Nano 12B 2 VL may still excel in niche scenarios.
Best for Quality
GPT-5.2
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron Nano 12B 2 VL
95% lower pricing; better value at scale
Best for Reliability
GPT-5.2
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.2
Stronger community support and better developer experience
Best for Production
GPT-5.2
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.2 | Nemotron Nano 12B 2 VL |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
NVIDIA
Nemotron Nano 12B 2 VL saves you $18.87/month
That's 95% cheaper than GPT-5.2 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 | GPT-5.2 | Nemotron Nano 12B 2 VL |
|---|---|---|
| Context Window | 400K | 131K |
| Max Output Tokens | 128,000 | -- |
| Open Source | No | Yes |
| Created | Dec 10, 2025 | Oct 28, 2025 |
GPT-5.2 scores 93/100 (rank #5) compared to Nemotron Nano 12B 2 VL's 73/100 (rank #138), giving it a 20-point advantage. GPT-5.2 is the stronger overall choice, though Nemotron Nano 12B 2 VL may excel in specific areas like cost efficiency.
GPT-5.2 is ranked #5 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 GPT-5.2's $14.00/M output tokens - 23.3x more expensive. Input token pricing: GPT-5.2 at $1.75/M vs Nemotron Nano 12B 2 VL at $0.20/M.
GPT-5.2 has a larger context window of 400,000 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.