| Signal | GPT-5 Image Mini | Delta | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 88 | +88 | |
Pricing | 98 | +1 | |
Context window size | 100 | +14 | |
Recency | 95 | -5 | |
Output Capacity | 100 | +6 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
89.2
current score
GPT-5 Image Mini
right now
40
current score
OpenAI
Nano Banana 2 (Gemini 3.1 Flash Image Preview) saves you $150.00/month
That's $1800.00/year compared to GPT-5 Image Mini at your current usage level of 100K calls/month.
| Metric | GPT-5 Image Mini | Nano Banana 2 (Gemini 3.1 Flash Image Preview) | Winner |
|---|---|---|---|
| Overall Score | 89 | 40 | GPT-5 Image Mini |
| Rank | #2 | #5 | GPT-5 Image Mini |
| Quality Rank | #2 | #5 | GPT-5 Image Mini |
| Adoption Rank | #2 | #5 | GPT-5 Image Mini |
| Parameters | -- | -- | -- |
| Context Window | 400K | 66K | GPT-5 Image Mini |
| Pricing | $2.50/$2.00/M | $0.50/$3.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | GPT-5 Image Mini |
| Benchmarks | 88 | -- | GPT-5 Image Mini |
| Pricing | 98 | 97 | GPT-5 Image Mini |
| Context window size | 100 | 86 | GPT-5 Image Mini |
| Recency | 95 | 100 | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
| Output Capacity | 100 | 94 | GPT-5 Image Mini |
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 #2), placing it in the top 100% of all 290 models tracked.
Scores 40/100 (rank #5), placing it in the top 99% of all 290 models tracked.
GPT-5 Image Mini has a 49-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
GPT-5 Image Mini offers 22% better value per quality point. At 1M tokens/day, you'd spend $52.50/month with Nano Banana 2 (Gemini 3.1 Flash Image Preview) vs $67.50/month with GPT-5 Image Mini - a $15.00 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 Mini 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 ($2.00/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 Mini clearly outperforms Nano Banana 2 (Gemini 3.1 Flash Image Preview) with a significant 49.2-point lead. For most general use cases, GPT-5 Image Mini is the stronger choice. However, Nano Banana 2 (Gemini 3.1 Flash Image Preview) may still excel in niche scenarios.
Best for Quality
GPT-5 Image Mini
Marginally better benchmark scores; both are excellent
Best for Cost
Nano Banana 2 (Gemini 3.1 Flash Image Preview)
22% lower pricing; better value at scale
Best for Reliability
GPT-5 Image Mini
Higher uptime and faster response speeds
Best for Prototyping
GPT-5 Image Mini
Stronger community support and better developer experience
Best for Production
GPT-5 Image Mini
Wider enterprise adoption and proven at scale
by OpenAI
by Google
| Capability | GPT-5 Image Mini | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Nano Banana 2 (Gemini 3.1 Flash Image Preview) saves you $2.40/month
That's 35% cheaper than GPT-5 Image Mini 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 Mini | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
|---|---|---|
| Context Window | 400K | 66K |
| Max Output Tokens | 128,000 | 65,536 |
| Open Source | No | No |
| Created | Oct 16, 2025 | Feb 26, 2026 |
GPT-5 Image Mini's 100/100 score reflects superior image generation quality and a 6.1x larger context window (400K vs 66K tokens), enabling complex multi-image workflows that Nano Banana 2 cannot handle. The $2/M output pricing actually undercuts Nano Banana 2's $3/M while delivering function calling and web search capabilities that expand creative possibilities beyond basic image generation.
With GPT-5 Image Mini's 400K context window, you could batch multiple complex prompts with reference images in single requests, potentially reducing API calls by 4-5x compared to Nano Banana 2's 66K limit. At scale, this means spending $20K/month on GPT-5 Image Mini could actually be cheaper than $30K/month on Nano Banana 2 due to fewer required API calls, despite the 5x higher input cost ($2.5/M vs $0.5/M).
GPT-5 Image Mini's function calling enables automated image generation pipelines that can trigger external APIs for real-time data visualization, while web search allows incorporating current visual trends directly into generations. Nano Banana 2's 62/100 score partially reflects these missing capabilities, limiting it to static prompt-based generation without dynamic context integration.
GPT-5 Image Mini accepts text, image, AND file inputs compared to Nano Banana 2's text+image only, enabling workflows like generating images from PDFs, spreadsheets, or code files with its 128K max output tokens. This 2x output advantage (128K vs 66K) combined with broader input modalities explains the 38-point score gap in real-world versatility.
The switch becomes justified when your use case requires either batching more than 6 images per request (leveraging the 400K context window) or when function calling integration saves more than 33% of API calls. With GPT-5 Image Mini costing $2/M output vs Nano Banana 2's $3/M, you're already saving on output while gaining a 38-point quality improvement.