API cost decision in 10 seconds

NewKimi K3.1 Pro vs Nano Banana 2.1

Pick Nano Banana 2.1 for lower cost; pick Kimi K3.1 Pro only if the larger context window matters more.

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

Budget verdict

Pick Nano Banana 2.1 for lower cost; pick Kimi K3.1 Pro only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nano Banana 2.1 is estimated at $5.25 vs $7 for Kimi K3.1 Pro, saving $1.75 (25% lower).

Cost-first pickNano Banana 2.1
Context-first pickKimi K3.1 Pro
Sample savings$1.7525%
10x traffic gap$17.5

Kimi K3.1 Pro has more context, but Nano Banana 2.1 saves $1.75 on the standard workload. At 10x that traffic, the same price gap is about $17.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nano Banana 2.1 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickKimi K3.1 ProNano Banana 2.1
Input-heavy / RAG5M input + 500K outputNano Banana 2.1$15$11.25
Balanced workload1M input + 1M outputNano Banana 2.1$12$9
Output-heavy chatbot1M input + 5M outputNano Banana 2.1$52$39
Cheaper input Nano Banana 2.1 $2 vs $1.5 / 1M

Nano Banana 2.1 is $0.5 cheaper per 1M input tokens (25% lower; 1.33x difference).

Cheaper output Nano Banana 2.1 $10 vs $7.5 / 1M

Nano Banana 2.1 is $2.5 cheaper per 1M output tokens (25% lower; 1.33x difference).

Larger context Kimi K3.1 Pro 1.05M vs 65.54K

Kimi K3.1 Pro has 983.04K more context (16x larger).

Sample workload Nano Banana 2.1 $7 vs $5.25

Nano Banana 2.1 is $1.75 cheaper on the standard workload (25% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Kimi K3.1 Pro Calculating… Estimated API cost
Nano Banana 2.1 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

Nano Banana 2.1 has the lower input price; Nano Banana 2.1 has the lower output price; Kimi K3.1 Pro offers the larger context window. For the 1M input plus 500K output sample, Nano Banana 2.1 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $7 for Kimi K3.1 Pro and $5.25 for Nano Banana 2.1.

Best Fit

Choose Kimi K3.1 Pro when you care most about larger context window.

Choose Nano Banana 2.1 when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nano Banana 2.1 is estimated at $5.25 vs $7 for Kimi K3.1 Pro, saving $1.75 (25% lower).
  • Nano Banana 2.1 is $1.75 cheaper on the standard workload (25% lower).
  • Nano Banana 2.1 is $0.5 cheaper per 1M input tokens (25% lower; 1.33x difference).
  • Nano Banana 2.1 is $2.5 cheaper per 1M output tokens (25% lower; 1.33x difference).
  • Kimi K3.1 Pro has 983.04K more context (16x larger).
Head-to-Head Specs
FeatureNewKimi K3.1 Pro
(MoonshotAI)
Nano Banana 2.1
(Google)
Input Price
prompt tokens per 1M
$2$1.5
Completion Price
per 1M tokens
$10$7.5
Sample Workload Cost
1M input + 500K output
$7$5.25
Context Window1.05M65.54K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNano Banana 2.1On the standard 1M input plus 500K output workload, Nano Banana 2.1 is estimated at $5.25 vs $7 for Kimi K3.1 Pro, saving $1.75 (25% lower).
High-volume input processingNano Banana 2.1Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNano Banana 2.1Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workKimi K3.1 ProA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Kimi K2.7 Code (free) can replace Kimi K3.1 Pro when lower sample workload cost matters most: $0.
  • Kimi K2.6 (free) can replace Kimi K3.1 Pro when lower sample workload cost matters most: $0.
  • Kimi K2 0711 can replace Kimi K3.1 Pro when lower sample workload cost matters most: $1.72.
  • Kimi K2.5 can replace Kimi K3.1 Pro when lower sample workload cost matters most: $1.75.
Larger context near this budget

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

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

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

MoonshotAI catalog

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

Open MoonshotAI models

Google catalog

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

Open Google models
Kimi K3.1 Pro

Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window. It is built for long-horizon coding, 3D...

Nano Banana 2.1

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,...