| Signal | Nova Pro 1.0 | Delta | R1 Distill Llama 70B |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 3 | +2 | |
Context window size | 87 | +6 | |
Recency | 46 | -9 | |
Output Capacity | 62 | -8 | |
| Overall Result | 2 wins | of 5 | 2 wins |
3
days higher
1
days
26
days higher
Amazon
DeepSeek
R1 Distill Llama 70B saves you $130.00/month
That's $1560.00/year compared to Nova Pro 1.0 at your current usage level of 100K calls/month.
| Metric | Nova Pro 1.0 | R1 Distill Llama 70B | Winner |
|---|---|---|---|
| Overall Score | 58 | 61 | R1 Distill Llama 70B |
| Rank | #241 | #223 | R1 Distill Llama 70B |
| Quality Rank | #241 | #223 | R1 Distill Llama 70B |
| Adoption Rank | #241 | #223 | R1 Distill Llama 70B |
| Parameters | -- | 70B | -- |
| Context Window | 300K | 131K | Nova Pro 1.0 |
| Pricing | $0.80/$3.20/M | $0.70/$0.80/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Nova Pro 1.0 |
| Pricing | 3 | 1 | Nova Pro 1.0 |
| Context window size | 87 | 81 | Nova Pro 1.0 |
| Recency | 46 | 54 | R1 Distill Llama 70B |
| Output Capacity | 62 | 70 | R1 Distill Llama 70B |
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 58/100 (rank #241), placing it in the top 17% of all 290 models tracked.
Scores 61/100 (rank #223), placing it in the top 23% of all 290 models tracked.
With only a 3-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.
R1 Distill Llama 70B offers 63% better value per quality point. At 1M tokens/day, you'd spend $22.50/month with R1 Distill Llama 70B vs $60.00/month with Nova Pro 1.0 - a $37.50 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. R1 Distill Llama 70B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (300K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.80/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (61/100) 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
Nova Pro 1.0 and R1 Distill Llama 70B are extremely close in overall performance (only 2.8000000000000043 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Nova Pro 1.0
Marginally better benchmark scores; both are excellent
Best for Cost
R1 Distill Llama 70B
63% lower pricing; better value at scale
Best for Reliability
Nova Pro 1.0
Higher uptime and faster response speeds
Best for Prototyping
Nova Pro 1.0
Stronger community support and better developer experience
Best for Production
Nova Pro 1.0
Wider enterprise adoption and proven at scale
by Amazon
by DeepSeek
| Capability | Nova Pro 1.0 | R1 Distill Llama 70B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Amazon
DeepSeek
R1 Distill Llama 70B saves you $3.06/month
That's 58% cheaper than Nova Pro 1.0 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 | Nova Pro 1.0 | R1 Distill Llama 70B |
|---|---|---|
| Context Window | 300K | 131K |
| Max Output Tokens | 5,120 | 16,384 |
| Open Source | No | Yes |
| Created | Dec 5, 2024 | Jan 23, 2025 |
R1 Distill Llama 70B scores 61/100 (rank #223) compared to Nova Pro 1.0's 58/100 (rank #241), giving it a 3-point advantage. R1 Distill Llama 70B is the stronger overall choice, though Nova Pro 1.0 may excel in specific areas like certain benchmarks.
Nova Pro 1.0 is ranked #241 and R1 Distill Llama 70B is ranked #223 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.
R1 Distill Llama 70B is cheaper at $0.80/M output tokens vs Nova Pro 1.0's $3.20/M output tokens - 4.0x more expensive. Input token pricing: Nova Pro 1.0 at $0.80/M vs R1 Distill Llama 70B at $0.70/M.
Nova Pro 1.0 has a larger context window of 300,000 tokens compared to R1 Distill Llama 70B's 131,072 tokens. A larger context window means the model can process longer documents and conversations.