| Signal | Nova Pro 1.0 | Delta | GLM 4 32B |
|---|---|---|---|
Capabilities | 50 | +17 | |
Pricing | 3 | +3 | |
Context window size | 87 | +6 | |
Recency | 46 | -42 | |
Output Capacity | 62 | +42 | |
| Overall Result | 4 wins | of 5 | 1 wins |
10
days higher
6
days
14
days higher
Amazon
Zhipu AI
GLM 4 32B saves you $225.00/month
That's $2700.00/year compared to Nova Pro 1.0 at your current usage level of 100K calls/month.
| Metric | Nova Pro 1.0 | GLM 4 32B | Winner |
|---|---|---|---|
| Overall Score | 58 | 57 | Nova Pro 1.0 |
| Rank | #241 | #242 | Nova Pro 1.0 |
| Quality Rank | #241 | #242 | Nova Pro 1.0 |
| Adoption Rank | #241 | #242 | Nova Pro 1.0 |
| Parameters | -- | 32B | -- |
| Context Window | 300K | 128K | Nova Pro 1.0 |
| Pricing | $0.80/$3.20/M | $0.10/$0.10/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 33 | Nova Pro 1.0 |
| Pricing | 3 | 0 | Nova Pro 1.0 |
| Context window size | 87 | 81 | Nova Pro 1.0 |
| Recency | 46 | 88 | GLM 4 32B |
| 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 #241), placing it in the top 17% of all 290 models tracked.
Scores 57/100 (rank #242), placing it in the top 17% of all 290 models tracked.
With only a 1-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.
GLM 4 32B offers 95% better value per quality point. At 1M tokens/day, you'd spend $3.00/month with GLM 4 32B vs $60.00/month with Nova Pro 1.0 - a $57.00 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. GLM 4 32B 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 ($0.10/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 GLM 4 32B are extremely close in overall performance (only 0.6999999999999957 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
GLM 4 32B
95% 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 | GLM 4 32B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Amazon
Zhipu AI
GLM 4 32B saves you $4.98/month
That's 94% 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 | GLM 4 32B |
|---|---|---|
| Context Window | 300K | 128K |
| Max Output Tokens | 5,120 | -- |
| Open Source | No | No |
| Created | Dec 5, 2024 | Jul 24, 2025 |
Nova Pro 1.0 scores 58/100 (rank #241) compared to GLM 4 32B 's 57/100 (rank #242), giving it a 1-point advantage. Nova Pro 1.0 is the stronger overall choice, though GLM 4 32B may excel in specific areas like cost efficiency.
Nova Pro 1.0 is ranked #241 and GLM 4 32B is ranked #242 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.
GLM 4 32B is cheaper at $0.10/M output tokens vs Nova Pro 1.0's $3.20/M output tokens - 32.0x more expensive. Input token pricing: Nova Pro 1.0 at $0.80/M vs GLM 4 32B at $0.10/M.
Nova Pro 1.0 has a larger context window of 300,000 tokens compared to GLM 4 32B 's 128,000 tokens. A larger context window means the model can process longer documents and conversations.