| Signal | Llama 3.1 8B Instruct | Delta | Nemotron Nano 12B 2 VL (free) |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 40 | +40 | |
Pricing | 0 | -30 | |
Context window size | 67 | -14 | |
Recency | 24 | -76 | |
Output Capacity | 70 | -15 | |
| Overall Result | 1 wins | of 6 | 5 wins |
0
days ranked higher
0
days
30
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Meta
NVIDIA
Nemotron Nano 12B 2 VL (free) saves you $4.50/month
That's $54.00/year compared to Llama 3.1 8B Instruct at your current usage level of 100K calls/month.
| Metric | Llama 3.1 8B Instruct | Nemotron Nano 12B 2 VL (free) | Winner |
|---|---|---|---|
| Overall Score | 46 | 79 | Nemotron Nano 12B 2 VL (free) |
| Rank | #260 | #76 | Nemotron Nano 12B 2 VL (free) |
| Quality Rank | #260 | #76 | Nemotron Nano 12B 2 VL (free) |
| Adoption Rank | #260 | #76 | Nemotron Nano 12B 2 VL (free) |
| Parameters | 8B | 12B | -- |
| Context Window | 16K | 128K | Nemotron Nano 12B 2 VL (free) |
| Pricing | $0.02/$0.05/M | Free | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Nemotron Nano 12B 2 VL (free) |
| Benchmarks | 40 | -- | Llama 3.1 8B Instruct |
| Pricing | 0 | 30 | Nemotron Nano 12B 2 VL (free) |
| Context window size | 67 | 81 | Nemotron Nano 12B 2 VL (free) |
| Recency | 24 | 100 | Nemotron Nano 12B 2 VL (free) |
| Output Capacity | 70 | 85 | 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 46/100 (rank #260), placing it in the top 11% of all 290 models tracked.
Scores 79/100 (rank #76), placing it in the top 74% of all 290 models tracked.
Nemotron Nano 12B 2 VL (free) has a 33-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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 (128K 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 (79/100) 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) clearly outperforms Llama 3.1 8B Instruct with a significant 32.9-point lead. For most general use cases, Nemotron Nano 12B 2 VL (free) is the stronger choice. However, Llama 3.1 8B Instruct may still excel in niche scenarios.
Best for Quality
Llama 3.1 8B Instruct
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
Llama 3.1 8B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Llama 3.1 8B Instruct
Stronger community support and better developer experience
Best for Production
Llama 3.1 8B Instruct
Wider enterprise adoption and proven at scale
by Meta
by NVIDIA
| Capability | Llama 3.1 8B Instruct | Nemotron Nano 12B 2 VL (free) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
NVIDIA
Nemotron Nano 12B 2 VL (free) saves you $0.0960/month
That's 100% cheaper than Llama 3.1 8B Instruct 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 | Llama 3.1 8B Instruct | Nemotron Nano 12B 2 VL (free) |
|---|---|---|
| Context Window | 16K | 128K |
| Max Output Tokens | 16,384 | 128,000 |
| Open Source | Yes | Yes |
| Created | Jul 23, 2024 | Oct 28, 2025 |
Nemotron Nano 12B 2 VL (free) scores 79/100 (rank #76) compared to Llama 3.1 8B Instruct's 46/100 (rank #260), giving it a 33-point advantage. Nemotron Nano 12B 2 VL (free) is the stronger overall choice, though Llama 3.1 8B Instruct may excel in specific areas like certain benchmarks.
Llama 3.1 8B Instruct is ranked #260 and Nemotron Nano 12B 2 VL (free) is ranked #76 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 Llama 3.1 8B Instruct's $0.05/M output tokens — 50.0x more expensive. Input token pricing: Llama 3.1 8B Instruct at $0.02/M vs Nemotron Nano 12B 2 VL (free) at $0.00/M.
Nemotron Nano 12B 2 VL (free) has a larger context window of 128,000 tokens compared to Llama 3.1 8B Instruct's 16,384 tokens. A larger context window means the model can process longer documents and conversations.