| Signal | Gemini 2.5 Pro Preview 05-06 | Delta | Gemma 3n 4B |
|---|---|---|---|
Capabilities | 83 | +67 | |
Pricing | 10 | +10 | |
Context window size | 96 | +24 | |
Recency | 73 | -2 | |
Output Capacity | 80 | +60 | |
| Overall Result | 4 wins | of 5 | 1 wins |
9
days higher
5
days
16
days higher
Gemma 3n 4B saves you $621.00/month
That's $7452.00/year compared to Gemini 2.5 Pro Preview 05-06 at your current usage level of 100K calls/month.
| Metric | Gemini 2.5 Pro Preview 05-06 | Gemma 3n 4B | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #234 | #232 | Gemma 3n 4B |
| Quality Rank | #234 | #232 | Gemma 3n 4B |
| Adoption Rank | #234 | #232 | Gemma 3n 4B |
| Parameters | -- | 4B | -- |
| Context Window | 1049K | 33K | Gemini 2.5 Pro Preview 05-06 |
| Pricing | $1.25/$10.00/M | $0.02/$0.04/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 17 | Gemini 2.5 Pro Preview 05-06 |
| Pricing | 10 | 0 | Gemini 2.5 Pro Preview 05-06 |
| Context window size | 96 | 72 | Gemini 2.5 Pro Preview 05-06 |
| Recency | 73 | 75 | Gemma 3n 4B |
| Output Capacity | 80 | 20 | Gemini 2.5 Pro Preview 05-06 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Here's what the scores mean for these two models:
Scores 40/100 (rank #234), placing it in the top 20% of all 290 models tracked.
Scores 40/100 (rank #232), placing it in the top 20% of all 290 models tracked.
With only a 0-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 3n 4B offers 99% better value per quality point. At 1M tokens/day, you'd spend $0.90/month with Gemma 3n 4B vs $168.75/month with Gemini 2.5 Pro Preview 05-06 - a $167.85 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 3n 4B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.04/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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
Gemini 2.5 Pro Preview 05-06 and Gemma 3n 4B are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Gemini 2.5 Pro Preview 05-06
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 3n 4B
99% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Pro Preview 05-06
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Pro Preview 05-06
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Pro Preview 05-06
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 2.5 Pro Preview 05-06 | Gemma 3n 4B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Gemma 3n 4B saves you $14.17/month
That's 99% cheaper than Gemini 2.5 Pro Preview 05-06 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 | Gemini 2.5 Pro Preview 05-06 | Gemma 3n 4B |
|---|---|---|
| Context Window | 1.0M | 33K |
| Max Output Tokens | 65,535 | -- |
| Open Source | No | Yes |
| Created | May 7, 2025 | May 20, 2025 |
Both Gemini 2.5 Pro Preview 05-06 and Gemma 3n 4B score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Gemini 2.5 Pro Preview 05-06 is ranked #234 and Gemma 3n 4B is ranked #232 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Gemma 3n 4B is cheaper at $0.04/M output tokens vs Gemini 2.5 Pro Preview 05-06's $10.00/M output tokens - 250.0x more expensive. Input token pricing: Gemini 2.5 Pro Preview 05-06 at $1.25/M vs Gemma 3n 4B at $0.02/M.
Gemini 2.5 Pro Preview 05-06 has a larger context window of 1,048,576 tokens compared to Gemma 3n 4B's 32,768 tokens. A larger context window means the model can process longer documents and conversations.