Gemini 3.5 Flash
Gemini 3.5 Flash is Google's fast multimodal model for people who wanted strong coding and agent work at a Flash-tier price, and it is now superseded.
- Closed
Google, 1M context, $1.50 in / 1M
Model by Google
Nano Banana 2.1 is Google's image generation and editing model in the Gemini API, with the official model ID gemini-nano-banana-2.1.
Checked 2026-10-31
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Nano Banana 2.1 is Google's image generation and editing model in the Gemini API, with the official model ID gemini-nano-banana-2.1. It takes text, image, video and PDF input and returns image and text. Google lists an input limit of 131,072 tokens and an output limit of 32,768 tokens. On the Gemini API pricing page the standard tier is $1.50 per million input tokens, $7.50 per million text and thinking output tokens and $30.00 per million image output tokens. Per image it lists $0.0336 at 1K, $0.0504 at 2K and $0.113 at 4K, with batch at half that. It is not on the free tier. It supports image generation, search grounding, thinking and the Batch API. It does not support function calling, structured outputs, context caching, code execution or the Live API, so build tool-driven flows around it, not inside it. Output is 1K, 2K or 4K, takes up to 14 reference images, and every image carries a SynthID watermark. Google's docs describe it as available in the Gemini API and link to Google AI Studio; we did not find the Gemini app or Vertex AI named for it. We have not run it ourselves for this note.
Gemini 3.5 Flash is Google's fast multimodal model for people who wanted strong coding and agent work at a Flash-tier price, and it is now superseded.
Google, 1M context, $1.50 in / 1M
The Gemini API prices per token.
Vertex AI is Google Cloud's platform for building with Gemini and other hosted models, billed through a Google Cloud account.
Checked 2026-10-31
131,072 tokens, with up to 58,982 tokens of output.
$1.5 per million input tokens and $7.5 per million output tokens, checked 31 October 2026.
No. The weights are not published, so you use it through the maker's API or a hosting provider.
Google makes it, and released it on 6 October 2026.
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OpenRouter routes more than 600 models through one API key.
Gemini 3.1 Flash Lite is Google's cheap, high-volume multimodal model, suited to people who need low-latency work such as classification, extraction and light agent steps at the lowest cost.
Google, 1M context, $0.25 in / 1M
Gemini 2.5 Flash is Google's June 2025 workhorse model with a 1M token context, and it is deprecated, so treat it as a model to migrate off.
Google, 1M context, $0.30 in / 1M
Gemini 2.5 Pro is Google's June 2025 reasoning model with a context of 1,048,576 tokens, and it is now deprecated, so it only matters for code that still calls it.
Google, 1M context, $1.25 in / 1M
Gemma 4 26B A4B is Google DeepMind's mid-sized open model, and it suits people who want image and video understanding with low active compute under Apache 2.0.
Google, 262K context, $0.03 in / 1M
Gemini 3.1 Pro Preview is Google's older Pro-tier reasoning model, and it suits developers who need long-context multimodal work and accept preview terms.
Google, 1M context, $2 in / 1M