| Signal | Llama 3.3 70B Instruct | Delta | Nemotron 3 Nano 30B A3B (free) |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 74 | +74 | |
Pricing | 0 | -30 | |
Context window size | 81 | -5 | |
Recency | 47 | -53 | |
Output Capacity | 70 | +50 | |
| Overall Result | 2 wins | of 6 | 3 wins |
5
days ranked higher
0
days
25
days ranked higher
Meta
NVIDIA
Nemotron 3 Nano 30B A3B (free) saves you $26.00/month
That's $312.00/year compared to Llama 3.3 70B Instruct at your current usage level of 100K calls/month.
| Metric | Llama 3.3 70B Instruct | Nemotron 3 Nano 30B A3B (free) | Winner |
|---|---|---|---|
| Overall Score | 66 | 68 | Nemotron 3 Nano 30B A3B (free) |
| Rank | #180 | #168 | Nemotron 3 Nano 30B A3B (free) |
| Quality Rank | #180 | #168 | Nemotron 3 Nano 30B A3B (free) |
| Adoption Rank | #180 | #168 | Nemotron 3 Nano 30B A3B (free) |
| Parameters | 70B | 30B | -- |
| Context Window | 131K | 256K | Nemotron 3 Nano 30B A3B (free) |
| Pricing | $0.10/$0.32/M | Free | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Llama 3.3 70B Instruct |
| Benchmarks | 74 | -- | Llama 3.3 70B Instruct |
| Pricing | 0 | 30 | Nemotron 3 Nano 30B A3B (free) |
| Context window size | 81 | 86 | Nemotron 3 Nano 30B A3B (free) |
| Recency | 47 | 100 | Nemotron 3 Nano 30B A3B (free) |
| Output Capacity | 70 | 20 | Llama 3.3 70B 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 66/100 (rank #180), placing it in the top 38% of all 290 models tracked.
Scores 68/100 (rank #168), placing it in the top 42% of all 290 models tracked.
With only a 2-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.
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 3 Nano 30B A3B (free) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (256K 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 (68/100) correlates with better nuance, coherence, and style in long-form content
Llama 3.3 70B Instruct and Nemotron 3 Nano 30B A3B (free) are extremely close in overall performance (only 2 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Llama 3.3 70B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron 3 Nano 30B A3B (free)
100% lower pricing; better value at scale
Best for Reliability
Llama 3.3 70B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Llama 3.3 70B Instruct
Stronger community support and better developer experience
Best for Production
Llama 3.3 70B Instruct
Wider enterprise adoption and proven at scale
by Meta
by NVIDIA
| Capability | Llama 3.3 70B Instruct | Nemotron 3 Nano 30B A3B (free) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
NVIDIA
Nemotron 3 Nano 30B A3B (free) saves you $0.5640/month
That's 100% cheaper than Llama 3.3 70B 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 3.3 70B Instruct | Nemotron 3 Nano 30B A3B (free) |
|---|---|---|
| Context Window | 131K | 256K |
| Max Output Tokens | 16,384 | -- |
| Open Source | Yes | Yes |
| Created | Dec 6, 2024 | Dec 14, 2025 |
Nemotron 3 Nano 30B A3B (free) scores 68/100 (rank #168) compared to Llama 3.3 70B Instruct's 66/100 (rank #180), giving it a 2-point advantage. Nemotron 3 Nano 30B A3B (free) is the stronger overall choice, though Llama 3.3 70B Instruct may excel in specific areas like certain benchmarks.
Llama 3.3 70B Instruct is ranked #180 and Nemotron 3 Nano 30B A3B (free) is ranked #168 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 3 Nano 30B A3B (free) is cheaper at $0.00/M output tokens vs Llama 3.3 70B Instruct's $0.32/M output tokens - 320.0x more expensive. Input token pricing: Llama 3.3 70B Instruct at $0.10/M vs Nemotron 3 Nano 30B A3B (free) at $0.00/M.
Nemotron 3 Nano 30B A3B (free) has a larger context window of 256,000 tokens compared to Llama 3.3 70B Instruct's 131,072 tokens. A larger context window means the model can process longer documents and conversations.