| Signal | Llama 3.1 8B Instruct | Delta | Nemotron 3 Nano 30B A3B |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 41 | +41 | |
Pricing | 0 | 0 | |
Context window size | 67 | -19 | |
Recency | 22 | -78 | |
Output Capacity | 70 | +50 | |
| Overall Result | 2 wins | of 6 | 4 wins |
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Meta
NVIDIA
Llama 3.1 8B Instruct saves you $10.50/month
That's $126.00/year compared to Nemotron 3 Nano 30B A3B at your current usage level of 100K calls/month.
| Metric | Llama 3.1 8B Instruct | Nemotron 3 Nano 30B A3B | Winner |
|---|---|---|---|
| Overall Score | 42 | 74 | Nemotron 3 Nano 30B A3B |
| Rank | #280 | #121 | Nemotron 3 Nano 30B A3B |
| Quality Rank | #280 | #121 | Nemotron 3 Nano 30B A3B |
| Adoption Rank | #280 | #121 | Nemotron 3 Nano 30B A3B |
| Parameters | 8B | 30B | -- |
| Context Window | 16K | 262K | Nemotron 3 Nano 30B A3B |
| Pricing | $0.02/$0.05/M | $0.05/$0.20/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Nemotron 3 Nano 30B A3B |
| Benchmarks | 41 | -- | Llama 3.1 8B Instruct |
| Pricing | 0 | 0 | Nemotron 3 Nano 30B A3B |
| Context window size | 67 | 86 | Nemotron 3 Nano 30B A3B |
| Recency | 22 | 100 | Nemotron 3 Nano 30B A3B |
| Output Capacity | 70 | 20 | Llama 3.1 8B 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 42/100 (rank #280), placing it in the top 4% of all 290 models tracked.
Scores 74/100 (rank #121), placing it in the top 59% of all 290 models tracked.
Nemotron 3 Nano 30B A3B has a 31-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Llama 3.1 8B Instruct offers 72% better value per quality point. At 1M tokens/day, you'd spend $1.05/month with Llama 3.1 8B Instruct vs $3.75/month with Nemotron 3 Nano 30B A3B - a $2.70 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. Llama 3.1 8B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.05/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (74/100) correlates with better nuance, coherence, and style in long-form content
Nemotron 3 Nano 30B A3B clearly outperforms Llama 3.1 8B Instruct with a significant 31.1-point lead. For most general use cases, Nemotron 3 Nano 30B A3B 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
Llama 3.1 8B Instruct
72% 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
| Capability | Llama 3.1 8B Instruct | Nemotron 3 Nano 30B A3B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
NVIDIA
Llama 3.1 8B Instruct saves you $0.2340/month
That's 71% cheaper than Nemotron 3 Nano 30B A3B 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 3 Nano 30B A3B |
|---|---|---|
| Context Window | 16K | 262K |
| Max Output Tokens | 16,384 | -- |
| Open Source | Yes | Yes |
| Created | Jul 23, 2024 | Dec 14, 2025 |
Nemotron 3 Nano 30B A3B scores 74/100 (rank #121) compared to Llama 3.1 8B Instruct's 42/100 (rank #280), giving it a 31-point advantage. Nemotron 3 Nano 30B A3B is the stronger overall choice, though Llama 3.1 8B Instruct may excel in specific areas like cost efficiency.
Llama 3.1 8B Instruct is ranked #280 and Nemotron 3 Nano 30B A3B is ranked #121 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.
Llama 3.1 8B Instruct is cheaper at $0.05/M output tokens vs Nemotron 3 Nano 30B A3B's $0.20/M output tokens - 4.0x more expensive. Input token pricing: Llama 3.1 8B Instruct at $0.02/M vs Nemotron 3 Nano 30B A3B at $0.05/M.
Nemotron 3 Nano 30B A3B has a larger context window of 262,144 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.