API cost decision in 10 seconds

Kimi K2.5 vs Nano Banana 2 (Gemini 3.1 Flash Image Preview)

Pick Kimi K2.5 when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Kimi K2.5 when budget and context both matter.

On the standard 1M input plus 500K output workload, Kimi K2.5 is estimated at $1.35 vs $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview), saving $0.65 (32.5% lower).

Cost-first pickKimi K2.5
Context-first pickKimi K2.5
Sample savings$0.6532.5%
10x traffic gap$6.5

Kimi K2.5 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $6.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Kimi K2.5 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickKimi K2.5Nano Banana 2 (Gemini 3.1 Flash Image Preview)
Input-heavy / RAG5M input + 500K outputKimi K2.5$2.95$4
Balanced workload1M input + 1M outputKimi K2.5$2.3$3.5
Output-heavy chatbot1M input + 5M outputKimi K2.5$9.9$15.5
Cheaper input Kimi K2.5 $0.4 vs $0.5 / 1M

Kimi K2.5 is $0.1 cheaper per 1M input tokens (20% lower; 1.25x difference).

Cheaper output Kimi K2.5 $1.9 vs $3 / 1M

Kimi K2.5 is $1.1 cheaper per 1M output tokens (36.7% lower; 1.58x difference).

Larger context Kimi K2.5 262.14K vs 131.07K

Kimi K2.5 has 131.07K more context (2x larger).

Sample workload Kimi K2.5 $1.35 vs $2

Kimi K2.5 is $0.65 cheaper on the standard workload (32.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Kimi K2.5 Calculating… Estimated API cost
Nano Banana 2 (Gemini 3.1 Flash Image Preview) Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Kimi K2.5 has the lower input price; Kimi K2.5 has the lower output price; Kimi K2.5 offers the larger context window. For the 1M input plus 500K output sample, Kimi K2.5 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.35 for Kimi K2.5 and $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview).

Best Fit

Choose Kimi K2.5 when you care most about lower input-token price, lower output-token price, and larger context window.

Choose Nano Banana 2 (Gemini 3.1 Flash Image Preview) when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Kimi K2.5 is estimated at $1.35 vs $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview), saving $0.65 (32.5% lower).
  • Kimi K2.5 is $0.65 cheaper on the standard workload (32.5% lower).
  • Kimi K2.5 is $0.1 cheaper per 1M input tokens (20% lower; 1.25x difference).
  • Kimi K2.5 is $1.1 cheaper per 1M output tokens (36.7% lower; 1.58x difference).
  • Kimi K2.5 has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureKimi K2.5
(MoonshotAI)
Nano Banana 2 (Gemini 3.1 Flash Image Preview)
(Google)
Input Price
prompt tokens per 1M
$0.4$0.5
Completion Price
per 1M tokens
$1.9$3
Sample Workload Cost
1M input + 500K output
$1.35$2
Context Window262.14K131.07K
Release Date
Popularity#36#129

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionKimi K2.5On the standard 1M input plus 500K output workload, Kimi K2.5 is estimated at $1.35 vs $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview), saving $0.65 (32.5% lower).
High-volume input processingKimi K2.5Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsKimi K2.5Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workKimi K2.5A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Gemma 4 31B (free) can replace Nano Banana 2 (Gemini 3.1 Flash Image Preview) when lower sample workload cost matters most: $0.
  • Gemma 4 26B A4B (free) can replace Nano Banana 2 (Gemini 3.1 Flash Image Preview) when lower sample workload cost matters most: $0.
  • Lyria 3 Clip Preview can replace Nano Banana 2 (Gemini 3.1 Flash Image Preview) when lower sample workload cost matters most: $0.
  • Lyria 3 Pro Preview can replace Nano Banana 2 (Gemini 3.1 Flash Image Preview) when lower sample workload cost matters most: $0.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.

Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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MoonshotAI catalog

Review all tracked MoonshotAI models before deciding whether this matchup is the right shortlist.

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Google catalog

Check other Google models with comparable pricing, context, or release timing.

Open Google models
Kimi K2.5

Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...

Nano Banana 2 (Gemini 3.1 Flash Image Preview)

Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines...