| Signal | Nova Lite 1.0 | Delta | R1 |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 100 | +2 | |
Context window size | 87 | +11 | |
Recency | 38 | -8 | |
Output Capacity | 62 | -8 | |
Benchmarks | 0 | -73 | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
40
current score
R1
right now
73
current score
Amazon
DeepSeek
Nova Lite 1.0 saves you $177.00/month
That's $2124.00/year compared to R1 at your current usage level of 100K calls/month.
| Metric | Nova Lite 1.0 | R1 | Winner |
|---|---|---|---|
| Overall Score | 40 | 73 | R1 |
| Rank | #299 | #76 | R1 |
| Quality Rank | #299 | #76 | R1 |
| Adoption Rank | #299 | #76 | R1 |
| Parameters | -- | -- | -- |
| Context Window | 300K | 64K | Nova Lite 1.0 |
| Pricing | $0.06/$0.24/M | $0.70/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Nova Lite 1.0 |
| Pricing | 100 | 98 | Nova Lite 1.0 |
| Context window size | 87 | 76 | Nova Lite 1.0 |
| Recency | 38 | 46 | R1 |
| Output Capacity | 62 | 70 | R1 |
| Benchmarks | -- | 73 | R1 |
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 40/100 (rank #299), placing it in the top -3% of all 290 models tracked.
Scores 73/100 (rank #76), placing it in the top 74% of all 290 models tracked.
R1 has a 33-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Nova Lite 1.0 offers 91% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Nova Lite 1.0 vs $48.00/month with R1 - a $43.50 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
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. Nova Lite 1.0 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 ($0.24/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (73/100) 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
R1 clearly outperforms Nova Lite 1.0 with a significant 33-point lead. For most general use cases, R1 is the stronger choice. However, Nova Lite 1.0 may still excel in niche scenarios.
Best for Quality
Nova Lite 1.0
Marginally better benchmark scores; both are excellent
Best for Cost
Nova Lite 1.0
91% lower pricing; better value at scale
Best for Reliability
Nova Lite 1.0
Higher uptime and faster response speeds
Best for Prototyping
Nova Lite 1.0
Stronger community support and better developer experience
Best for Production
Nova Lite 1.0
Wider enterprise adoption and proven at scale
by Amazon
| Capability | Nova Lite 1.0 | R1 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Amazon
DeepSeek
Nova Lite 1.0 saves you $3.86/month
That's 91% cheaper than R1 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 Lite 1.0 | R1 |
|---|---|---|
| Context Window | 300K | 64K |
| Max Output Tokens | 5,120 | 16,000 |
| Open Source | No | Yes |
| Created | Dec 5, 2024 | Jan 20, 2025 |