| Signal | Nova Pro 1.0 | Delta | Qwen2.5 VL 32B Instruct |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 3 | +3 | |
Context window size | 87 | +6 | |
Recency | 47 | -20 | |
Output Capacity | 62 | +42 | |
| Overall Result | 3 wins | of 5 | 1 wins |
15
days ranked higher
1
days
14
days ranked higher
Amazon
Alibaba
Qwen2.5 VL 32B Instruct saves you $190.00/month
That's $2280.00/year compared to Nova Pro 1.0 at your current usage level of 100K calls/month.
| Metric | Nova Pro 1.0 | Qwen2.5 VL 32B Instruct | Winner |
|---|---|---|---|
| Overall Score | 58 | 57 | Nova Pro 1.0 |
| Rank | #232 | #234 | Nova Pro 1.0 |
| Quality Rank | #232 | #234 | Nova Pro 1.0 |
| Adoption Rank | #232 | #234 | Nova Pro 1.0 |
| Parameters | -- | 32B | -- |
| Context Window | 300K | 128K | Nova Pro 1.0 |
| Pricing | $0.80/$3.20/M | $0.20/$0.60/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 | 47 | 67 | Qwen2.5 VL 32B Instruct |
| Output Capacity | 62 | 20 | Nova Pro 1.0 |
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 #232), placing it in the top 20% of all 290 models tracked.
Scores 57/100 (rank #234), placing it in the top 20% of all 290 models tracked.
With only a 2-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.
Qwen2.5 VL 32B Instruct offers 80% better value per quality point. At 1M tokens/day, you'd spend $12.00/month with Qwen2.5 VL 32B Instruct vs $60.00/month with Nova Pro 1.0 - a $48.00 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. Qwen2.5 VL 32B Instruct 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 ($0.60/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
Nova Pro 1.0 and Qwen2.5 VL 32B Instruct are extremely close in overall performance (only 1.5 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
Qwen2.5 VL 32B Instruct
80% 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
| Capability | Nova Pro 1.0 | Qwen2.5 VL 32B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Amazon
Alibaba
Qwen2.5 VL 32B Instruct saves you $4.20/month
That's 80% 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 | Qwen2.5 VL 32B Instruct |
|---|---|---|
| Context Window | 300K | 128K |
| Max Output Tokens | 5,120 | -- |
| Open Source | No | Yes |
| Created | Dec 5, 2024 | Mar 24, 2025 |
Nova Pro 1.0 scores 58/100 (rank #232) compared to Qwen2.5 VL 32B Instruct's 57/100 (rank #234), giving it a 2-point advantage. Nova Pro 1.0 is the stronger overall choice, though Qwen2.5 VL 32B Instruct may excel in specific areas like cost efficiency.
Nova Pro 1.0 is ranked #232 and Qwen2.5 VL 32B Instruct is ranked #234 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.
Qwen2.5 VL 32B Instruct is cheaper at $0.60/M output tokens vs Nova Pro 1.0's $3.20/M output tokens - 5.3x more expensive. Input token pricing: Nova Pro 1.0 at $0.80/M vs Qwen2.5 VL 32B Instruct at $0.20/M.
Nova Pro 1.0 has a larger context window of 300,000 tokens compared to Qwen2.5 VL 32B Instruct's 128,000 tokens. A larger context window means the model can process longer documents and conversations.