Nano Banana (Gemini 2.5 Flash Image) Pricing
FastGoogle · 33K tokens context
Nano Banana (Gemini 2.5 Flash Image) from Google costs $0.300 per 1 million input tokens and $2.50 per 1 million output tokens as of June 2026 (live OpenRouter data). The model supports a 32,768-token context window (approximately 24,576 words) with a 33K-token maximum output. A typical 1,000-token request costs $0.0003 in input charges; a 10,000-token request costs $0.0030.
| Input price | $0.300 / 1M tokens |
|---|---|
| Output price | $2.50 / 1M tokens |
| Output / input ratio | 8.3× |
| Context window | 32,768 tokens (~24,576 words) |
| Maximum output | 32,768 tokens |
| Cost per 1K tokens (input) | $0.0003 |
| Tier | Fast |
| Last verified |
Nano Banana (Gemini 2.5 Flash Image) is Google's a fast, low-cost model tuned for high-throughput tasks like classification, extraction, and simple chat. It costs $0.300 per million input tokens with a 33K-token context window and native image understanding.
Input Price
$0.300
per 1 million tokens
Output Price
$2.50
per 1 million tokens
Context Window
33K tokens
max 33K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.0004 | $0.001 |
| 10-page document (2,500 words) | 3,333 | $0.001 | $0.0025 |
| 1,000 lines of code | 5,000 | $0.0015 | $0.00375 |
| 100K token document | 100,000 | $0.03 | $0.075 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Affordable at $0.30/1M input tokens
- ✓Low latency for high-throughput workloads
- ✓Multimodal: understands images as well as text
Limitations
- –Less capable than flagship models on complex reasoning
- –Smaller 33K-token context limits long-document use
Best Use Cases
Calculate Nano Banana (Gemini 2.5 Flash Image) Costs
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