| Signal | GPT-4o (2024-11-20) | Delta | Nova Pro 1.0 |
|---|---|---|---|
Capabilities | 67 | +17 | |
Pricing | 10 | +7 | |
Context window size | 81 | -6 | |
Recency | 42 | -3 | |
Output Capacity | 70 | +8 | |
| Overall Result | 3 wins | of 5 | 2 wins |
10
days higher
1
days
19
days higher
OpenAI
Amazon
Nova Pro 1.0 saves you $510.00/month
That's $6120.00/year compared to GPT-4o (2024-11-20) at your current usage level of 100K calls/month.
| Metric | GPT-4o (2024-11-20) | Nova Pro 1.0 | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #283 | #282 | Nova Pro 1.0 |
| Quality Rank | #283 | #282 | Nova Pro 1.0 |
| Adoption Rank | #283 | #282 | Nova Pro 1.0 |
| Parameters | -- | -- | -- |
| Context Window | 128K | 300K | Nova Pro 1.0 |
| Pricing | $2.50/$10.00/M | $0.80/$3.20/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | GPT-4o (2024-11-20) |
| Pricing | 10 | 3 | GPT-4o (2024-11-20) |
| Context window size | 81 | 87 | Nova Pro 1.0 |
| Recency | 42 | 45 | Nova Pro 1.0 |
| Output Capacity | 70 | 62 | GPT-4o (2024-11-20) |
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%). Here's what the scores mean for these two models:
Scores 40/100 (rank #283), placing it in the top 3% of all 290 models tracked.
Scores 40/100 (rank #282), placing it in the top 3% of all 290 models tracked.
With only a 0-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.
Nova Pro 1.0 offers 68% better value per quality point. At 1M tokens/day, you'd spend $60.00/month with Nova Pro 1.0 vs $187.50/month with GPT-4o (2024-11-20) - a $127.50 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. Nova Pro 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 ($3.20/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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
GPT-4o (2024-11-20) and Nova Pro 1.0 are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o (2024-11-20)
Marginally better benchmark scores; both are excellent
Best for Cost
Nova Pro 1.0
68% lower pricing; better value at scale
Best for Reliability
GPT-4o (2024-11-20)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o (2024-11-20)
Stronger community support and better developer experience
Best for Production
GPT-4o (2024-11-20)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o (2024-11-20) | Nova Pro 1.0 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Amazon
Nova Pro 1.0 saves you $11.22/month
That's 68% cheaper than GPT-4o (2024-11-20) 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 | GPT-4o (2024-11-20) | Nova Pro 1.0 |
|---|---|---|
| Context Window | 128K | 300K |
| Max Output Tokens | 16,384 | 5,120 |
| Open Source | No | No |
| Created | Nov 20, 2024 | Dec 5, 2024 |
Both GPT-4o (2024-11-20) and Nova Pro 1.0 score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
GPT-4o (2024-11-20) is ranked #283 and Nova Pro 1.0 is ranked #282 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Nova Pro 1.0 is cheaper at $3.20/M output tokens vs GPT-4o (2024-11-20)'s $10.00/M output tokens - 3.1x more expensive. Input token pricing: GPT-4o (2024-11-20) at $2.50/M vs Nova Pro 1.0 at $0.80/M.
Nova Pro 1.0 has a larger context window of 300,000 tokens compared to GPT-4o (2024-11-20)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.