Nano Banana 2 (Gemini 3.1 Flash Image Preview) vs Recraft V3

Nano Banana 2 leverages Google's infrastructure and multimodal architecture to achieve $3/M output pricing while scoring 62/100, whereas Recraft V3's specialized image-only pipeline costs $40,000/M output tokens with only a 16/100 score. The massive price difference reflects Recraft's focus on pure text-to-image generation without the economies of scale that come from Google's broader AI ecosystem and multi-capability model design.

Nano Banana 2's superior 62/100 score comes from its multimodal capabilities (text+image input/output) and additional features like vision understanding, streaming, and reasoning that Recraft V3 lacks entirely. Recraft's 16/100 score reflects its narrow focus on text-to-image generation without any context window (0 tokens) or auxiliary capabilities, making it essentially a single-purpose API endpoint.

Generating 1M images would cost approximately $3 with Nano Banana 2 versus $40,000 with Recraft V3, a difference that could fund an entire engineering team. However, Recraft's astronomical pricing suggests it targets ultra-high-quality specialized use cases where even a 0.3% quality improvement over Nano Banana 2's output could justify the 13,333x cost premium for luxury brands or medical imaging applications.

Recraft V3's laser focus on text-to-image generation without any context handling (0 tokens) or multimodal features suggests optimization for specific artistic styles or quality metrics not captured in the 16/100 general benchmark score. Teams already using Recraft's specialized tooling might accept the $40,000/M output cost to avoid retraining workflows, though Nano Banana 2's 66K context window and vision capabilities enable entirely different use cases like iterative image editing with conversational context.