| Signal | DALL-E 3 | Delta | Nano Banana (Gemini 2.5 Flash Image) |
|---|---|---|---|
Capabilities | 17 | -67 | |
Pricing | 5 | -92 | |
Context window size | 0 | -81 | |
Recency | 0 | -94 | |
Output Capacity | 20 | -68 | |
Benchmarks | 0 | -80 | |
| Overall Result | 0 wins | of 6 | 6 wins |
Score History
8.8
current score
Nano Banana (Gemini 2.5 Flash Image)
right now
77.5
current score
OpenAI
DALL-E 3 saves you $155.00/month
That's $1860.00/year compared to Nano Banana (Gemini 2.5 Flash Image) at your current usage level of 100K calls/month.
| Metric | DALL-E 3 | Nano Banana (Gemini 2.5 Flash Image) | Winner |
|---|---|---|---|
| Overall Score | 9 | 78 | Nano Banana (Gemini 2.5 Flash Image) |
| Rank | #14 | #4 | Nano Banana (Gemini 2.5 Flash Image) |
| Quality Rank | #14 | #4 | Nano Banana (Gemini 2.5 Flash Image) |
| Adoption Rank | #14 | #4 | Nano Banana (Gemini 2.5 Flash Image) |
| Parameters | -- | -- | -- |
| Context Window | -- | 33K | -- |
| Pricing | Free | $0.30/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 83 | Nano Banana (Gemini 2.5 Flash Image) |
| Pricing | 5 | 98 | Nano Banana (Gemini 2.5 Flash Image) |
| Context window size | 0 | 81 | Nano Banana (Gemini 2.5 Flash Image) |
| Recency | 0 | 94 | Nano Banana (Gemini 2.5 Flash Image) |
| Output Capacity | 20 | 88 | Nano Banana (Gemini 2.5 Flash Image) |
| Benchmarks | -- | 81 | Nano Banana (Gemini 2.5 Flash Image) |
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%). Learn more about our methodology.
Scores 9/100 (rank #14), placing it in the top 96% of all 290 models tracked.
Scores 78/100 (rank #4), placing it in the top 99% of all 290 models tracked.
Nano Banana (Gemini 2.5 Flash Image) 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. DALL-E 3 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (33K 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 (78/100) 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 (Gemini 2.5 Flash Image) clearly outperforms DALL-E 3 with a significant 68.7-point lead. For most general use cases, Nano Banana (Gemini 2.5 Flash Image) is the stronger choice. However, DALL-E 3 may still excel in niche scenarios.
Best for Quality
DALL-E 3
Marginally better benchmark scores; both are excellent
Best for Cost
DALL-E 3
100% lower pricing; better value at scale
Best for Reliability
DALL-E 3
Higher uptime and faster response speeds
Best for Prototyping
DALL-E 3
Stronger community support and better developer experience
Best for Production
DALL-E 3
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | DALL-E 3 | Nano Banana (Gemini 2.5 Flash Image) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streamingdiffers | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
DALL-E 3 saves you $3.54/month
That's 100% cheaper than Nano Banana (Gemini 2.5 Flash Image) 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 | DALL-E 3 | Nano Banana (Gemini 2.5 Flash Image) |
|---|---|---|
| Context Window | -- | 33K |
| Max Output Tokens | -- | 32,768 |
| Open Source | No | No |
| Created | Oct 1, 2023 | Oct 7, 2025 |
DALL-E 3 charges $40,000 per million outputs versus Nano Banana's $2.50, reflecting OpenAI's premium positioning for a dedicated image generation model. The massive price differential suggests DALL-E 3 targets enterprise customers requiring specific artistic styles or brand consistency, while Nano Banana at 50/100 score offers better value for general-purpose image generation tasks.
Unlike DALL-E 3's text-only input, Nano Banana accepts both text and image inputs with a 33K token window, enabling iterative refinement workflows where users can feed generated images back for modifications. This vision capability combined with streaming support allows for real-time image editing pipelines that would require multiple separate API calls with DALL-E 3.
DALL-E 3's focused architecture as a pure text-to-image model (scoring 16/100) may produce more consistent artistic styles crucial for brand assets, despite lacking Nano Banana's vision, streaming, and JSON mode features. The 16,000x price premium suggests DALL-E 3 excels at specific creative tasks where output quality matters more than the flexibility of handling 33K tokens or processing existing images.
Nano Banana ranks #5 versus DALL-E 3's #8 among 14 image generation models, with scores of 50/100 and 16/100 respectively. This 34-point score gap combined with Nano Banana's JSON mode support makes it better suited for programmatic workflows, while DALL-E 3's lower ranking reflects its specialized focus rather than broad capability coverage.
While Nano Banana offers 16,000x cost savings on outputs ($2.50 vs $40,000 per million), migration requires rearchitecting for its multimodal inputs and 33K token context window versus DALL-E 3's simpler text-only interface. Teams must also adapt to Google's ecosystem and potentially different image quality characteristics despite Nano Banana's higher 50/100 score.