| Signal | GPT-5 Image | Delta | Nano Banana Pro (Gemini 3 Pro Image Preview) |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 88 | +88 | |
Pricing | 90 | +2 | |
Context window size | 100 | +14 | |
Recency | 95 | -5 | |
Output Capacity | 100 | +12 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
89.2
current score
GPT-5 Image
right now
40
current score
OpenAI
Nano Banana Pro (Gemini 3 Pro Image Preview) saves you $700.00/month
That's $8400.00/year compared to GPT-5 Image at your current usage level of 100K calls/month.
| Metric | GPT-5 Image | Nano Banana Pro (Gemini 3 Pro Image Preview) | Winner |
|---|---|---|---|
| Overall Score | 89 | 40 | GPT-5 Image |
| Rank | #3 | #6 | GPT-5 Image |
| Quality Rank | #3 | #6 | GPT-5 Image |
| Adoption Rank | #3 | #6 | GPT-5 Image |
| Parameters | -- | -- | -- |
| Context Window | 400K | 66K | GPT-5 Image |
| Pricing | $10.00/$10.00/M | $2.00/$12.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | GPT-5 Image |
| Benchmarks | 88 | -- | GPT-5 Image |
| Pricing | 90 | 88 | GPT-5 Image |
| Context window size | 100 | 86 | GPT-5 Image |
| Recency | 95 | 100 | Nano Banana Pro (Gemini 3 Pro Image Preview) |
| Output Capacity | 100 | 88 | GPT-5 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 89/100 (rank #3), placing it in the top 99% of all 290 models tracked.
Scores 40/100 (rank #6), placing it in the top 98% of all 290 models tracked.
GPT-5 Image has a 49-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
GPT-5 Image offers 30% better value per quality point. At 1M tokens/day, you'd spend $210.00/month with Nano Banana Pro (Gemini 3 Pro Image Preview) vs $300.00/month with GPT-5 Image - a $90.00 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
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. GPT-5 Image also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($10.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (89/100) 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
GPT-5 Image clearly outperforms Nano Banana Pro (Gemini 3 Pro Image Preview) with a significant 49.2-point lead. For most general use cases, GPT-5 Image is the stronger choice. However, Nano Banana Pro (Gemini 3 Pro Image Preview) may still excel in niche scenarios.
Best for Quality
GPT-5 Image
Marginally better benchmark scores; both are excellent
Best for Cost
Nano Banana Pro (Gemini 3 Pro Image Preview)
30% lower pricing; better value at scale
Best for Reliability
GPT-5 Image
Higher uptime and faster response speeds
Best for Prototyping
GPT-5 Image
Stronger community support and better developer experience
Best for Production
GPT-5 Image
Wider enterprise adoption and proven at scale
by OpenAI
by Google
| Capability | GPT-5 Image | Nano Banana Pro (Gemini 3 Pro Image Preview) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Nano Banana Pro (Gemini 3 Pro Image Preview) saves you $12.00/month
That's 40% cheaper than GPT-5 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 | GPT-5 Image | Nano Banana Pro (Gemini 3 Pro Image Preview) |
|---|---|---|
| Context Window | 400K | 66K |
| Max Output Tokens | 128,000 | 32,768 |
| Open Source | No | No |
| Created | Oct 14, 2025 | Nov 20, 2025 |
GPT-5 Image's perfect score reflects its comprehensive capability set including function calling and web search that Nano Banana Pro lacks, plus a massive 6.1x advantage in context window (400K vs 66K tokens). The 43-point score gap is the widest among top-tier image models, suggesting GPT-5 Image handles complex multi-modal workflows that Nano Banana Pro cannot support.
Nano Banana Pro makes sense for high-volume image generation where you need sub-66K context and can tolerate the 57/100 performance score, saving 20% on output costs while paying 5x less for inputs ($2/M vs $10/M). For applications generating millions of images with minimal prompt engineering, the input cost savings could outweigh the performance delta.
GPT-5 Image's file->text+image modality enables direct processing of PDFs, documents, and structured data into images, while Nano Banana Pro is limited to text+image inputs only. Combined with GPT-5's 128K max output tokens versus 33K, this makes GPT-5 the only viable choice for enterprise workflows that generate images from complex documents or need extensive metadata alongside generated images.
GPT-5 Image leverages OpenAI's unified multimodal architecture that shares the same 400K context across text, image, and file inputs, while Google's Gemini 3 Pro Preview architecture appears optimized for faster inference at the cost of context length. This 6.1x context ratio means GPT-5 can process entire design systems or brand guidelines in a single prompt, while Nano Banana Pro requires chunking strategies.
Migration means a 5x increase in input costs ($2/M to $10/M) but a 17% decrease in output costs ($12/M to $10/M), plus rewriting any code that depends on the missing function calling and web search capabilities. The 128K max output tokens in GPT-5 versus 33K in Nano Banana Pro also requires adjusting token management strategies for applications that currently assume smaller response limits.