| Signal | GPT-5.2 Pro | Delta | Nova Pro 1.0 |
|---|---|---|---|
Capabilities | 100 | +50 | |
Benchmarks | 89 | +89 | |
Pricing | 100 | +97 | |
Context window size | 89 | +2 | |
Recency | 100 | +53 | |
Output Capacity | 85 | +23 | |
| Overall Result | 6 wins | of 6 | 0 wins |
30
days ranked higher
0
days
0
days ranked higher
OpenAI
Amazon
Nova Pro 1.0 saves you $10260.00/month
That's $123120.00/year compared to GPT-5.2 Pro at your current usage level of 100K calls/month.
| Metric | GPT-5.2 Pro | Nova Pro 1.0 | Winner |
|---|---|---|---|
| Overall Score | 93 | 58 | GPT-5.2 Pro |
| Rank | #4 | #232 | GPT-5.2 Pro |
| Quality Rank | #4 | #232 | GPT-5.2 Pro |
| Adoption Rank | #4 | #232 | GPT-5.2 Pro |
| Parameters | -- | -- | -- |
| Context Window | 400K | 300K | GPT-5.2 Pro |
| Pricing | $21.00/$168.00/M | $0.80/$3.20/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | GPT-5.2 Pro |
| Benchmarks | 89 | -- | GPT-5.2 Pro |
| Pricing | 100 | 3 | GPT-5.2 Pro |
| Context window size | 89 | 87 | GPT-5.2 Pro |
| Recency | 100 | 47 | GPT-5.2 Pro |
| Output Capacity | 85 | 62 | GPT-5.2 Pro |
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 93/100 (rank #4), placing it in the top 99% of all 290 models tracked.
Scores 58/100 (rank #232), placing it in the top 20% of all 290 models tracked.
GPT-5.2 Pro has a 35-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Nova Pro 1.0 offers 98% better value per quality point. At 1M tokens/day, you'd spend $60.00/month with Nova Pro 1.0 vs $2835.00/month with GPT-5.2 Pro - a $2775.00 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 (400K 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 (93/100) 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-5.2 Pro clearly outperforms Nova Pro 1.0 with a significant 34.5-point lead. For most general use cases, GPT-5.2 Pro is the stronger choice. However, Nova Pro 1.0 may still excel in niche scenarios.
Best for Quality
GPT-5.2 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
Nova Pro 1.0
98% lower pricing; better value at scale
Best for Reliability
GPT-5.2 Pro
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.2 Pro
Stronger community support and better developer experience
Best for Production
GPT-5.2 Pro
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.2 Pro | Nova Pro 1.0 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Amazon
Nova Pro 1.0 saves you $234.12/month
That's 98% cheaper than GPT-5.2 Pro 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-5.2 Pro | Nova Pro 1.0 |
|---|---|---|
| Context Window | 400K | 300K |
| Max Output Tokens | 128,000 | 5,120 |
| Open Source | No | No |
| Created | Dec 10, 2025 | Dec 5, 2024 |
GPT-5.2 Pro scores 93/100 (rank #4) compared to Nova Pro 1.0's 58/100 (rank #232), giving it a 35-point advantage. GPT-5.2 Pro is the stronger overall choice, though Nova Pro 1.0 may excel in specific areas like cost efficiency.
GPT-5.2 Pro is ranked #4 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-5.2 Pro's $168.00/M output tokens - 52.5x more expensive. Input token pricing: GPT-5.2 Pro at $21.00/M vs Nova Pro 1.0 at $0.80/M.
GPT-5.2 Pro has a larger context window of 400,000 tokens compared to Nova Pro 1.0's 300,000 tokens. A larger context window means the model can process longer documents and conversations.