API cost decision in 10 seconds

NewLing 3.0 Flash VL vs Nano Banana Pro (Gemini 3 Pro Image)

Pick Ling 3.0 Flash VL when budget is the priority.

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

Budget verdict

Pick Ling 3.0 Flash VL when budget is the priority.

On the standard 1M input plus 500K output workload, Ling 3.0 Flash VL is estimated at $0.15 vs $8 for Nano Banana Pro (Gemini 3 Pro Image), saving $7.85 (98.1% lower).

Cost-first pickLing 3.0 Flash VL
Context-first pickBoth models
Sample savings$7.8598.1%
10x traffic gap$78.5

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $78.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Ling 3.0 Flash VL stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickLing 3.0 Flash VLNano Banana Pro (Gemini 3 Pro Image)
Input-heavy / RAG5M input + 500K outputLing 3.0 Flash VL$0.39$16
Balanced workload1M input + 1M outputLing 3.0 Flash VL$0.24$14
Output-heavy chatbot1M input + 5M outputLing 3.0 Flash VL$0.96$62
Cheaper input Ling 3.0 Flash VL $0.06 vs $2 / 1M

Ling 3.0 Flash VL is $1.94 cheaper per 1M input tokens (97% lower; 33.3x difference).

Cheaper output Ling 3.0 Flash VL $0.18 vs $12 / 1M

Ling 3.0 Flash VL is $11.82 cheaper per 1M output tokens (98.5% lower; 66.7x difference).

Larger context Tie 131.07K vs 131.07K

Both models report the same context window at 131.07K tokens.

Sample workload Ling 3.0 Flash VL $0.15 vs $8

Ling 3.0 Flash VL is $7.85 cheaper on the standard workload (98.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Ling 3.0 Flash VL Calculating… Estimated API cost
Nano Banana Pro (Gemini 3 Pro Image) 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

Ling 3.0 Flash VL has the lower input price; Ling 3.0 Flash VL has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Ling 3.0 Flash VL is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.15 for Ling 3.0 Flash VL and $8 for Nano Banana Pro (Gemini 3 Pro Image).

Best Fit

Choose Ling 3.0 Flash VL when you care most about lower input-token price, and lower output-token price.

Choose Nano Banana Pro (Gemini 3 Pro Image) 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, Ling 3.0 Flash VL is estimated at $0.15 vs $8 for Nano Banana Pro (Gemini 3 Pro Image), saving $7.85 (98.1% lower).
  • Ling 3.0 Flash VL is $7.85 cheaper on the standard workload (98.1% lower).
  • Ling 3.0 Flash VL is $1.94 cheaper per 1M input tokens (97% lower; 33.3x difference).
  • Ling 3.0 Flash VL is $11.82 cheaper per 1M output tokens (98.5% lower; 66.7x difference).
  • Both models report the same context window at 131.07K tokens.
Head-to-Head Specs
FeatureNewLing 3.0 Flash VL
(inclusionAI)
Nano Banana Pro (Gemini 3 Pro Image)
(Google)
Input Price
prompt tokens per 1M
$0.06$2
Completion Price
per 1M tokens
$0.18$12
Sample Workload Cost
1M input + 500K output
$0.15$8
Context Window131.07K131.07K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLing 3.0 Flash VLOn the standard 1M input plus 500K output workload, Ling 3.0 Flash VL is estimated at $0.15 vs $8 for Nano Banana Pro (Gemini 3 Pro Image), saving $7.85 (98.1% lower).
High-volume input processingLing 3.0 Flash VLLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLing 3.0 Flash VLLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Cheaper alternatives

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

Open cheapest models

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

inclusionAI catalog

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

Open inclusionAI models

Google catalog

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

Open Google models
Ling 3.0 Flash VL

Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...

Nano Banana Pro (Gemini 3 Pro Image)

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...