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Nano Banana 2.1 google

Closed weights API only frontier listed on OpenRouter 2026-10-06 (19d ago) · source Last verified 2026-10-25 06:51 UTC Docs ↗ OpenRouter ↗

Release timeline

Stages observed by the nightly radar: announced → API only → weights public → served by third parties. Each entry carries the source it was seen at.

  1. 2026-10-06 · API only source
    seeded from the earliest dated observation when first seen · observed 2026-10-07 20:20 UTC

Description

Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization,...

via OpenRouter listing · observed 2026-10-24 21:26 UTC. The listing text is the provider's own description, not an assessment.

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Nano Banana 2.1, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting. Cheapest observed input price: $1.50/M.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
Google AI Studio
openrouter
google/gemini-nano-banana-2.1 64K unknown $1.50 $7.50 — — yes live 2026-10-24

No third-party providers observed beyond the lab's own endpoints.

Facts

Context length65,536 tokens (64K) · OpenRouter listing
Modalitiesimage + text → image + text
Max completion tokens58,982
Supported parametersinclude_reasoning, max_tokens, reasoning, reasoning_effort, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_p
OpennessClosed weights · closed lab
StageAPI only
Confidencemedium
Pricing (USD per M tokens) in $1.50 · out $7.50
OpenRouter list price (cheapest live endpoint) · source · observed 2026-10-24 21:26 UTC

Open alternatives 5

Nearest open-weights models by modality, context and price on this watch list. Not a quality ranking.

ModelOrgParamsContext$/M inLicenseWhy it is here
gemma-4-E4B-it google 8.00B 128K — apache-2.0 vision input
Qwen2.5-VL-7B-Instruct Qwen 8.29B 125K — apache-2.0 vision input
Unlimited-OCR baidu 3.34B 32K — mit vision input
Qwen2.5-VL-3B-Instruct Qwen 3.75B 125K — — vision input
Qwen3.5-4B Qwen 4.66B 256K — apache-2.0 vision input

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Sources

Radar run: 2026-10-25 06:51 UTC · Last verified 2026-10-25 06:51 UTC