| Signal | Nemotron Nano 9B V2 | Delta | Qwen3 VL 8B Thinking |
|---|---|---|---|
Capabilities | 67 | -17 | |
Pricing | 100 | +1 | |
Context window size | 81 | -- | |
Recency | 88 | -7 | |
Output Capacity | 70 | -5 | |
| Overall Result | 1 wins | of 5 | 3 wins |
Score History
40
current score
Tied
right now
40
current score
NVIDIA
Alibaba
Nemotron Nano 9B V2 saves you $67.95/month
That's $815.40/year compared to Qwen3 VL 8B Thinking at your current usage level of 100K calls/month.
| Metric | Nemotron Nano 9B V2 | Qwen3 VL 8B Thinking | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #256 | #245 | Qwen3 VL 8B Thinking |
| Quality Rank | #256 | #245 | Qwen3 VL 8B Thinking |
| Adoption Rank | #256 | #245 | Qwen3 VL 8B Thinking |
| Parameters | 9B | 8B | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $0.04/$0.16/M | $0.12/$1.36/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Qwen3 VL 8B Thinking |
| Pricing | 100 | 99 | Nemotron Nano 9B V2 |
| Context window size | 81 | 81 | Nemotron Nano 9B V2 |
| Recency | 88 | 95 | Qwen3 VL 8B Thinking |
| Output Capacity | 70 | 75 | Qwen3 VL 8B Thinking |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 40/100 (rank #256), placing it in the top 12% of all 290 models tracked.
Scores 40/100 (rank #245), placing it in the top 16% 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 9B V2 offers 87% better value per quality point. At 1M tokens/day, you'd spend $3.00/month with Nemotron Nano 9B V2 vs $22.23/month with Qwen3 VL 8B Thinking - a $19.23 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Nemotron Nano 9B V2 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 ($0.16/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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 9B V2 and Qwen3 VL 8B Thinking are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Nemotron Nano 9B V2
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron Nano 9B V2
87% lower pricing; better value at scale
Best for Reliability
Nemotron Nano 9B V2
Higher uptime and faster response speeds
Best for Prototyping
Nemotron Nano 9B V2
Stronger community support and better developer experience
Best for Production
Nemotron Nano 9B V2
Wider enterprise adoption and proven at scale
by NVIDIA
| Capability | Nemotron Nano 9B V2 | Qwen3 VL 8B Thinking |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
NVIDIA
Alibaba
Nemotron Nano 9B V2 saves you $1.58/month
That's 86% cheaper than Qwen3 VL 8B 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 9B V2 | Qwen3 VL 8B Thinking |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | 16,384 | 32,768 |
| Open Source | Yes | Yes |
| Created | Sep 5, 2025 | Oct 14, 2025 |