Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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Nano Banana (Gemini 2.5 Flash Image)

text+image->text+image

Speed-optimised Gemini for high-throughput production. Same multimodal surface as Pro at a fraction of the price.

Nano Banana (Gemini 2.5 Flash Image) is a multimodal AI model from Google. It costs $0.300 per million input tokens and $2.500 per million output tokens (blended $0.960/M), with a 33K-token context window.

Profile inherited from upstream Gemini 2.5 Flash ↗ — this is a hosted variant of the same open-weights model.

Modalities text, vision, audio, videoOfficial model page ↗Provider pricing ↗API docs ↗Pricing source ↗Compare with another model →Estimate monthly cost →
INPUT
$0.300/M
per million input tokens
OUTPUT
$2.500/M
per million output tokens
BLENDED 70/30
$0.960/M
default reference rate · how it's calculated →
CONTEXT
33K
32,768 tokens
What it's good at
  • Fast
  • 1M context
  • Native multimodal
  • Very cheap
Typical use cases
  • Production chat
  • Bulk multimodal pipelines
  • Cost-sensitive RAG
Benchmarks
vs. best public score
Scores inherited from Gemini 2.5 Flash — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU84%
Multitask academic knowledge across 57 subjects.
GPQA Diamond70%
Graduate-level science questions, "Google-proof".
MATH87%
High-school competition math problems.
HumanEval87%
Python function synthesis from docstrings.
SWE-bench Verified48%
Real GitHub issues solved end-to-end.
LMArena Elo1325 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources — treat as directional rather than authoritative.
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Gemini 3.5 Pro
Frontier · 1M ctx
in $2.000/Mout $12.000/M
Gemini 3.5 Flash
Balanced · 1M ctx
in $1.500/Mout $9.000/M
Gemini 3.1 Pro
Frontier · 1M ctx
in $2.000/Mout $12.000/M
Gemini 3 Pro
Frontier · 1M ctx
in $2.000/Mout $12.000/M
Gemini 3 Flash
Efficient · 1M ctx
in $0.500/Mout $3.000/M
Gemini 2.5 Pro
Frontier · 1M ctx
in $1.250/Mout $10.000/M
Frequently asked questions

How much does Nano Banana (Gemini 2.5 Flash Image) cost?

Nano Banana (Gemini 2.5 Flash Image) costs $0.300 per million input tokens and $2.500 per million output tokens, for a blended reference rate of $0.960 per million tokens.

What is Nano Banana (Gemini 2.5 Flash Image)'s context window?

Nano Banana (Gemini 2.5 Flash Image) supports up to 33K tokens of context (32,768 tokens).

What is Nano Banana (Gemini 2.5 Flash Image) best for?

Nano Banana (Gemini 2.5 Flash Image) is well suited to Fast, 1M context and Native multimodal.

Who makes Nano Banana (Gemini 2.5 Flash Image)?

Nano Banana (Gemini 2.5 Flash Image) is developed and served by Google.