| Signal | Nemotron Nano 12B 2 VL | Delta | Qwen3 Coder 30B A3B Instruct |
|---|---|---|---|
Capabilities | 67 | +17 | |
Pricing | 1 | +0 | |
Context window size | 81 | -1 | |
Recency | 100 | +10 | |
Output Capacity | 20 | -55 | |
| Overall Result | 3 wins | of 5 | 2 wins |
12
days ranked higher
3
days
15
days ranked higher
NVIDIA
Alibaba
Qwen3 Coder 30B A3B Instruct saves you $29.50/month
That's $354.00/year compared to Nemotron Nano 12B 2 VL at your current usage level of 100K calls/month.
| Metric | Nemotron Nano 12B 2 VL | Qwen3 Coder 30B A3B Instruct | Winner |
|---|---|---|---|
| Overall Score | 73 | 72 | Nemotron Nano 12B 2 VL |
| Rank | #138 | #140 | Nemotron Nano 12B 2 VL |
| Quality Rank | #138 | #140 | Nemotron Nano 12B 2 VL |
| Adoption Rank | #138 | #140 | Nemotron Nano 12B 2 VL |
| Parameters | 12B | 30B | -- |
| Context Window | 131K | 160K | Qwen3 Coder 30B A3B Instruct |
| Pricing | $0.20/$0.60/M | $0.07/$0.27/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | Nemotron Nano 12B 2 VL |
| Pricing | 1 | 0 | Nemotron Nano 12B 2 VL |
| Context window size | 81 | 83 | Qwen3 Coder 30B A3B Instruct |
| Recency | 100 | 90 | Nemotron Nano 12B 2 VL |
| Output Capacity | 20 | 75 | Qwen3 Coder 30B A3B Instruct |
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 #138), placing it in the top 53% of all 290 models tracked.
Scores 72/100 (rank #140), placing it in the top 52% 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.
Qwen3 Coder 30B A3B Instruct offers 57% better value per quality point. At 1M tokens/day, you'd spend $5.10/month with Qwen3 Coder 30B A3B Instruct vs $12.00/month with Nemotron Nano 12B 2 VL - a $6.90 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. Qwen3 Coder 30B A3B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (160K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.27/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 Coder 30B A3B Instruct are extremely close in overall performance (only 0.29999999999999716 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
Qwen3 Coder 30B A3B Instruct
57% 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 Coder 30B A3B Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
NVIDIA
Alibaba
Qwen3 Coder 30B A3B Instruct saves you $0.6300/month
That's 58% cheaper than Nemotron Nano 12B 2 VL 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 Coder 30B A3B Instruct |
|---|---|---|
| Context Window | 131K | 160K |
| Max Output Tokens | -- | 32,768 |
| Open Source | Yes | Yes |
| Created | Oct 28, 2025 | Jul 31, 2025 |
Nemotron Nano 12B 2 VL scores 73/100 (rank #138) compared to Qwen3 Coder 30B A3B Instruct's 72/100 (rank #140), giving it a 0-point advantage. Nemotron Nano 12B 2 VL is the stronger overall choice, though Qwen3 Coder 30B A3B Instruct may excel in specific areas like cost efficiency.
Nemotron Nano 12B 2 VL is ranked #138 and Qwen3 Coder 30B A3B Instruct is ranked #140 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.
Qwen3 Coder 30B A3B Instruct is cheaper at $0.27/M output tokens vs Nemotron Nano 12B 2 VL's $0.60/M output tokens - 2.2x more expensive. Input token pricing: Nemotron Nano 12B 2 VL at $0.20/M vs Qwen3 Coder 30B A3B Instruct at $0.07/M.
Qwen3 Coder 30B A3B Instruct has a larger context window of 160,000 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.