| Signal | Nemotron Nano 12B 2 VL (free) | Delta | Qwen Plus 0728 (thinking) |
|---|---|---|---|
Capabilities | 67 | -- | |
Pricing | 30 | +29 | |
Context window size | 81 | -14 | |
Recency | 100 | +4 | |
Output Capacity | 85 | +10 | |
| Overall Result | 3 wins | of 5 | 1 wins |
9
days higher
1
days
20
days higher
NVIDIA
Alibaba
Nemotron Nano 12B 2 VL (free) saves you $65.00/month
That's $780.00/year compared to Qwen Plus 0728 (thinking) at your current usage level of 100K calls/month.
| Metric | Nemotron Nano 12B 2 VL (free) | Qwen Plus 0728 (thinking) | Winner |
|---|---|---|---|
| Overall Score | 82 | 82 | Qwen Plus 0728 (thinking) |
| Rank | #63 | #62 | Qwen Plus 0728 (thinking) |
| Quality Rank | #63 | #62 | Qwen Plus 0728 (thinking) |
| Adoption Rank | #63 | #62 | Qwen Plus 0728 (thinking) |
| Parameters | 12B | -- | -- |
| Context Window | 128K | 1000K | Qwen Plus 0728 (thinking) |
| Pricing | Free | $0.26/$0.78/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Nemotron Nano 12B 2 VL (free) |
| Pricing | 30 | 1 | Nemotron Nano 12B 2 VL (free) |
| Context window size | 81 | 95 | Qwen Plus 0728 (thinking) |
| Recency | 100 | 96 | Nemotron Nano 12B 2 VL (free) |
| Output Capacity | 85 | 75 | Nemotron Nano 12B 2 VL (free) |
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 #63), placing it in the top 79% of all 290 models tracked.
Scores 82/100 (rank #62), placing it in the top 79% 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.
Compare the cost per quality point to find the best value for your specific workload.
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 (free) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.00/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
Nemotron Nano 12B 2 VL (free) and Qwen Plus 0728 (thinking) are extremely close in overall performance (only 0.10000000000000853 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Nemotron Nano 12B 2 VL (free)
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron Nano 12B 2 VL (free)
100% lower pricing; better value at scale
Best for Reliability
Nemotron Nano 12B 2 VL (free)
Higher uptime and faster response speeds
Best for Prototyping
Nemotron Nano 12B 2 VL (free)
Stronger community support and better developer experience
Best for Production
Nemotron Nano 12B 2 VL (free)
Wider enterprise adoption and proven at scale
by NVIDIA
| Capability | Nemotron Nano 12B 2 VL (free) | Qwen Plus 0728 (thinking) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
NVIDIA
Alibaba
Nemotron Nano 12B 2 VL (free) saves you $1.40/month
That's 100% cheaper than Qwen Plus 0728 (thinking) 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 Nano 12B 2 VL (free) | Qwen Plus 0728 (thinking) |
|---|---|---|
| Context Window | 128K | 1M |
| Max Output Tokens | 128,000 | 32,768 |
| Open Source | Yes | No |
| Created | Oct 28, 2025 | Sep 8, 2025 |
Qwen Plus 0728 (thinking) scores 82/100 (rank #62) compared to Nemotron Nano 12B 2 VL (free)'s 82/100 (rank #63), giving it a 0-point advantage. Qwen Plus 0728 (thinking) is the stronger overall choice, though Nemotron Nano 12B 2 VL (free) may excel in specific areas like cost efficiency.
Nemotron Nano 12B 2 VL (free) is ranked #63 and Qwen Plus 0728 (thinking) is ranked #62 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 (free) is cheaper at $0.00/M output tokens vs Qwen Plus 0728 (thinking)'s $0.78/M output tokens - 780.0x more expensive. Input token pricing: Nemotron Nano 12B 2 VL (free) at $0.00/M vs Qwen Plus 0728 (thinking) at $0.26/M.
Qwen Plus 0728 (thinking) has a larger context window of 1,000,000 tokens compared to Nemotron Nano 12B 2 VL (free)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.