| Signal | Nemotron Nano 12B 2 VL | Delta | Qwen3 Next 80B A3B Thinking |
|---|---|---|---|
Capabilities | 67 | -- | |
Pricing | 1 | 0 | |
Context window size | 81 | -- | |
Recency | 100 | +4 | |
Output Capacity | 20 | -55 | |
Benchmarks | 0 | -62 | |
| Overall Result | 1 wins | of 6 | 3 wins |
8
days higher
4
days
18
days higher
NVIDIA
Alibaba
Qwen3 Next 80B A3B Thinking saves you $1.25/month
That's $15.00/year compared to Nemotron Nano 12B 2 VL at your current usage level of 100K calls/month.
| Metric | Nemotron Nano 12B 2 VL | Qwen3 Next 80B A3B Thinking | Winner |
|---|---|---|---|
| Overall Score | 73 | 72 | Nemotron Nano 12B 2 VL |
| Rank | #139 | #143 | Nemotron Nano 12B 2 VL |
| Quality Rank | #139 | #143 | Nemotron Nano 12B 2 VL |
| Adoption Rank | #139 | #143 | Nemotron Nano 12B 2 VL |
| Parameters | 12B | 80B | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $0.20/$0.60/M | $0.10/$0.78/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Nemotron Nano 12B 2 VL |
| Pricing | 1 | 1 | Qwen3 Next 80B A3B Thinking |
| Context window size | 81 | 81 | Nemotron Nano 12B 2 VL |
| Recency | 100 | 96 | Nemotron Nano 12B 2 VL |
| Output Capacity | 20 | 75 | Qwen3 Next 80B A3B Thinking |
| Benchmarks | -- | 63 | Qwen3 Next 80B A3B Thinking |
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 73/100 (rank #139), placing it in the top 52% of all 290 models tracked.
Scores 72/100 (rank #143), placing it in the top 51% 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 Nano 12B 2 VL offers 9% better value per quality point. At 1M tokens/day, you'd spend $12.00/month with Nemotron Nano 12B 2 VL vs $13.16/month with Qwen3 Next 80B A3B Thinking - a $1.16 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 (131K 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 (73/100) 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 and Qwen3 Next 80B A3B Thinking are extremely close in overall performance (only 0.19999999999998863 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
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron Nano 12B 2 VL
9% lower pricing; better value at scale
Best for Reliability
Nemotron Nano 12B 2 VL
Higher uptime and faster response speeds
Best for Prototyping
Nemotron Nano 12B 2 VL
Stronger community support and better developer experience
Best for Production
Nemotron Nano 12B 2 VL
Wider enterprise adoption and proven at scale
by NVIDIA
| Capability | Nemotron Nano 12B 2 VL | Qwen3 Next 80B A3B Thinking |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
NVIDIA
Alibaba
Nemotron Nano 12B 2 VL saves you $0.0315/month
That's 3% cheaper than Qwen3 Next 80B A3B 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 | Qwen3 Next 80B A3B Thinking |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | -- | 32,768 |
| Open Source | Yes | Yes |
| Created | Oct 28, 2025 | Sep 11, 2025 |
Nemotron Nano 12B 2 VL scores 73/100 (rank #139) compared to Qwen3 Next 80B A3B Thinking's 72/100 (rank #143), giving it a 0-point advantage. Nemotron Nano 12B 2 VL is the stronger overall choice, though Qwen3 Next 80B A3B Thinking may excel in specific areas like certain benchmarks.
Nemotron Nano 12B 2 VL is ranked #139 and Qwen3 Next 80B A3B Thinking is ranked #143 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 Qwen3 Next 80B A3B Thinking's $0.78/M output tokens - 1.3x more expensive. Input token pricing: Nemotron Nano 12B 2 VL at $0.20/M vs Qwen3 Next 80B A3B Thinking at $0.10/M.
Nemotron Nano 12B 2 VL has a larger context window of 131,072 tokens compared to Qwen3 Next 80B A3B Thinking's 131,072 tokens. A larger context window means the model can process longer documents and conversations.