| Signal | Gemini 3.1 Flash Lite | Delta | Nemotron Nano 9B V2 |
|---|---|---|---|
Capabilities | 100 | +33 | |
Pricing | 99 | -1 | |
Context window size | 96 | +14 | |
Recency | 100 | +12 | |
Output Capacity | 80 | +10 | |
| Overall Result | 4 wins | of 5 | 1 wins |
Score History
23.6
current score
Nemotron Nano 9B V2
right now
40
current score
NVIDIA
Nemotron Nano 9B V2 saves you $88.00/month
That's $1056.00/year compared to Gemini 3.1 Flash Lite at your current usage level of 100K calls/month.
| Metric | Gemini 3.1 Flash Lite | Nemotron Nano 9B V2 | Winner |
|---|---|---|---|
| Overall Score | 24 | 40 | Nemotron Nano 9B V2 |
| Rank | #338 | #256 | Nemotron Nano 9B V2 |
| Quality Rank | #338 | #256 | Nemotron Nano 9B V2 |
| Adoption Rank | #338 | #256 | Nemotron Nano 9B V2 |
| Parameters | -- | 9B | -- |
| Context Window | 1049K | 131K | Gemini 3.1 Flash Lite |
| Pricing | $0.25/$1.50/M | $0.04/$0.16/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | Gemini 3.1 Flash Lite |
| Pricing | 99 | 100 | Nemotron Nano 9B V2 |
| Context window size | 96 | 81 | Gemini 3.1 Flash Lite |
| Recency | 100 | 88 | Gemini 3.1 Flash Lite |
| Output Capacity | 80 | 70 | Gemini 3.1 Flash Lite |
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 24/100 (rank #338), placing it in the top -16% of all 290 models tracked.
Scores 40/100 (rank #256), placing it in the top 12% of all 290 models tracked.
Nemotron Nano 9B V2 has a 16-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Nemotron Nano 9B V2 offers 89% better value per quality point. At 1M tokens/day, you'd spend $3.00/month with Nemotron Nano 9B V2 vs $26.25/month with Gemini 3.1 Flash Lite - a $23.25 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
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 (1049K 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 clearly outperforms Gemini 3.1 Flash Lite with a significant 16.4-point lead. For most general use cases, Nemotron Nano 9B V2 is the stronger choice. However, Gemini 3.1 Flash Lite may still excel in niche scenarios.
Best for Quality
Gemini 3.1 Flash Lite
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron Nano 9B V2
89% lower pricing; better value at scale
Best for Reliability
Gemini 3.1 Flash Lite
Higher uptime and faster response speeds
Best for Prototyping
Gemini 3.1 Flash Lite
Stronger community support and better developer experience
Best for Production
Gemini 3.1 Flash Lite
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 3.1 Flash Lite | Nemotron Nano 9B V2 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
NVIDIA
Nemotron Nano 9B V2 saves you $1.99/month
That's 88% cheaper than Gemini 3.1 Flash Lite 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 | Gemini 3.1 Flash Lite | Nemotron Nano 9B V2 |
|---|---|---|
| Context Window | 1.0M | 131K |
| Max Output Tokens | 65,536 | 16,384 |
| Open Source | No | Yes |
| Created | May 7, 2026 | Sep 5, 2025 |