| Signal | GPT-4o (2024-08-06) | Delta | Nova Pro 1.0 |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 58 | +58 | |
Pricing | 10 | +7 | |
Context window size | 81 | -6 | |
Recency | 25 | -22 | |
Output Capacity | 70 | +8 | |
| Overall Result | 4 wins | of 6 | 2 wins |
4
days ranked higher
1
days
25
days ranked higher
OpenAI
Amazon
Nova Pro 1.0 saves you $510.00/month
That's $6120.00/year compared to GPT-4o (2024-08-06) at your current usage level of 100K calls/month.
| Metric | GPT-4o (2024-08-06) | Nova Pro 1.0 | Winner |
|---|---|---|---|
| Overall Score | 56 | 58 | Nova Pro 1.0 |
| Rank | #242 | #232 | Nova Pro 1.0 |
| Quality Rank | #242 | #232 | Nova Pro 1.0 |
| Adoption Rank | #242 | #232 | 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 (2024-08-06) |
| Benchmarks | 58 | -- | GPT-4o (2024-08-06) |
| Pricing | 10 | 3 | GPT-4o (2024-08-06) |
| Context window size | 81 | 87 | Nova Pro 1.0 |
| Recency | 25 | 47 | Nova Pro 1.0 |
| Output Capacity | 70 | 62 | GPT-4o (2024-08-06) |
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 56/100 (rank #242), placing it in the top 17% of all 290 models tracked.
Scores 58/100 (rank #232), placing it in the top 20% 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.
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 (2024-08-06) - 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 (58/100) 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 (2024-08-06) and Nova Pro 1.0 are extremely close in overall performance (only 2.6000000000000014 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o (2024-08-06)
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 (2024-08-06)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o (2024-08-06)
Stronger community support and better developer experience
Best for Production
GPT-4o (2024-08-06)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o (2024-08-06) | 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 (2024-08-06) 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 (2024-08-06) | Nova Pro 1.0 |
|---|---|---|
| Context Window | 128K | 300K |
| Max Output Tokens | 16,384 | 5,120 |
| Open Source | No | No |
| Created | Aug 6, 2024 | Dec 5, 2024 |
Nova Pro 1.0 scores 58/100 (rank #232) compared to GPT-4o (2024-08-06)'s 56/100 (rank #242), giving it a 3-point advantage. Nova Pro 1.0 is the stronger overall choice, though GPT-4o (2024-08-06) may excel in specific areas like certain benchmarks.
GPT-4o (2024-08-06) is ranked #242 and Nova Pro 1.0 is ranked #232 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.
Nova Pro 1.0 is cheaper at $3.20/M output tokens vs GPT-4o (2024-08-06)'s $10.00/M output tokens - 3.1x more expensive. Input token pricing: GPT-4o (2024-08-06) 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 (2024-08-06)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.