| Signal | Gemma 3 4B | Delta | Nova Pro 1.0 |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 0 | -3 | |
Context window size | 81 | -6 | |
Recency | 66 | +18 | |
Output Capacity | 20 | -42 | |
| Overall Result | 1 wins | of 5 | 3 wins |
2
days ranked higher
1
days
27
days ranked higher
Amazon
Gemma 3 4B saves you $232.00/month
That's $2784.00/year compared to Nova Pro 1.0 at your current usage level of 100K calls/month.
| Metric | Gemma 3 4B | Nova Pro 1.0 | Winner |
|---|---|---|---|
| Overall Score | 55 | 59 | Nova Pro 1.0 |
| Rank | #229 | #214 | Nova Pro 1.0 |
| Quality Rank | #229 | #214 | Nova Pro 1.0 |
| Adoption Rank | #229 | #214 | Nova Pro 1.0 |
| Parameters | 4B | -- | -- |
| Context Window | 131K | 300K | Nova Pro 1.0 |
| Pricing | $0.04/$0.08/M | $0.80/$3.20/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Gemma 3 4B |
| Pricing | 0 | 3 | Nova Pro 1.0 |
| Context window size | 81 | 87 | Nova Pro 1.0 |
| Recency | 66 | 48 | Gemma 3 4B |
| Output Capacity | 20 | 62 | 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 55/100 (rank #229), placing it in the top 21% of all 290 models tracked.
Scores 59/100 (rank #214), placing it in the top 27% of all 290 models tracked.
With only a 4-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.
Gemma 3 4B offers 97% better value per quality point. At 1M tokens/day, you'd spend $1.80/month with Gemma 3 4B vs $60.00/month with Nova Pro 1.0 — a $58.20 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. Gemma 3 4B 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 ($0.08/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (59/100) 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 has a moderate advantage with a 3.8999999999999986-point lead in composite score. It wins on more signal dimensions, but Gemma 3 4B has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Gemma 3 4B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 3 4B
97% lower pricing; better value at scale
Best for Reliability
Gemma 3 4B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 3 4B
Stronger community support and better developer experience
Best for Production
Gemma 3 4B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 3 4B | Nova Pro 1.0 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Amazon
Gemma 3 4B saves you $5.11/month
That's 97% 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 | Gemma 3 4B | Nova Pro 1.0 |
|---|---|---|
| Context Window | 131K | 300K |
| Max Output Tokens | -- | 5,120 |
| Open Source | Yes | No |
| Created | Mar 13, 2025 | Dec 5, 2024 |
Nova Pro 1.0 scores 59/100 (rank #214) compared to Gemma 3 4B's 55/100 (rank #229), giving it a 4-point advantage. Nova Pro 1.0 is the stronger overall choice, though Gemma 3 4B may excel in specific areas like cost efficiency.
Gemma 3 4B is ranked #229 and Nova Pro 1.0 is ranked #214 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.
Gemma 3 4B is cheaper at $0.08/M output tokens vs Nova Pro 1.0's $3.20/M output tokens — 40.0x more expensive. Input token pricing: Gemma 3 4B at $0.04/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 Gemma 3 4B's 131,072 tokens. A larger context window means the model can process longer documents and conversations.