| Signal | Leonardo Phoenix | Delta | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
|---|---|---|---|
Capabilities | 14 | -57 | |
Pricing | 0 | -3 | |
Context window size | 0 | -86 | |
Recency | 25 | -75 | |
Output Capacity | 20 | -74 | |
| Overall Result | 0 wins | of 5 | 5 wins |
0
days ranked higher
0
days
30
days ranked higher
Leonardo AI
Leonardo Phoenix saves you $200.00/month
That's $2400.00/year compared to Nano Banana 2 (Gemini 3.1 Flash Image Preview) at your current usage level of 100K calls/month.
| Metric | Leonardo Phoenix | Nano Banana 2 (Gemini 3.1 Flash Image Preview) | Winner |
|---|---|---|---|
| Overall Score | 15 | 84 | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
| Rank | #11 | #3 | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
| Quality Rank | #11 | #3 | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
| Adoption Rank | #11 | #3 | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
| Parameters | -- | -- | -- |
| Context Window | -- | 66K | -- |
| Pricing | Free | $0.50/$3.00/M | -- |
| Signal Scores | |||
| Capabilities | 14 | 71 | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
| Pricing | 0 | 3 | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
| Context window size | 0 | 86 | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
| Recency | 25 | 100 | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
| Output Capacity | 20 | 94 | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
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 15/100 (rank #11), placing it in the top 97% of all 290 models tracked.
Scores 84/100 (rank #3), placing it in the top 99% of all 290 models tracked.
Nano Banana 2 (Gemini 3.1 Flash Image Preview) has a 69-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Compare the cost per quality point to find the best value for your specific workload.
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. Leonardo Phoenix also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (66K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (84/100) 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
Nano Banana 2 (Gemini 3.1 Flash Image Preview) clearly outperforms Leonardo Phoenix with a significant 69-point lead. For most general use cases, Nano Banana 2 (Gemini 3.1 Flash Image Preview) is the stronger choice. However, Leonardo Phoenix may still excel in niche scenarios.
Best for Quality
Leonardo Phoenix
Marginally better benchmark scores; both are excellent
Best for Cost
Leonardo Phoenix
100% lower pricing; better value at scale
Best for Reliability
Leonardo Phoenix
Higher uptime and faster response speeds
Best for Prototyping
Leonardo Phoenix
Stronger community support and better developer experience
Best for Production
Leonardo Phoenix
Wider enterprise adoption and proven at scale
by Leonardo AI
by Google
Consider for specialized use cases.
| Capability | Leonardo Phoenix | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streamingdiffers | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Leonardo AI
Leonardo Phoenix saves you $4.50/month
That's 100% cheaper than Nano Banana 2 (Gemini 3.1 Flash Image Preview) 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 | Leonardo Phoenix | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
|---|---|---|
| Context Window | -- | 66K |
| Max Output Tokens | -- | 65,536 |
| Open Source | No | No |
| Created | Aug 1, 2024 | Feb 26, 2026 |
Nano Banana 2 (Gemini 3.1 Flash Image Preview) scores 84/100 (rank #3) compared to Leonardo Phoenix's 15/100 (rank #11), giving it a 69-point advantage. Nano Banana 2 (Gemini 3.1 Flash Image Preview) is the stronger overall choice, though Leonardo Phoenix may excel in specific areas like cost efficiency.
Leonardo Phoenix is ranked #11 and Nano Banana 2 (Gemini 3.1 Flash Image Preview) is ranked #3 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.
Leonardo Phoenix is cheaper at $0.00/M output tokens vs Nano Banana 2 (Gemini 3.1 Flash Image Preview)'s $3.00/M output tokens — 3000.0x more expensive. Input token pricing: Leonardo Phoenix at $0.00/M vs Nano Banana 2 (Gemini 3.1 Flash Image Preview) at $0.50/M.
Context window information is available on the individual model pages.