API cost decision in 10 seconds

NewNano Banana 2.1 vs Qwen3.8 Max (0902)

Pick Qwen3.8 Max (0902) 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 Qwen3.8 Max (0902) when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3.8 Max (0902) is estimated at $5 vs $5.25 for Nano Banana 2.1, saving $0.25 (4.8% lower).

Cost-first pickQwen3.8 Max (0902)
Context-first pickQwen3.8 Max (0902)
Sample savings$0.254.8%
10x traffic gap$2.5

Qwen3.8 Max (0902) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Nano Banana 2.1, balanced workload favors Qwen3.8 Max (0902), and output-heavy chatbot favors Qwen3.8 Max (0902).

Workload shapeToken mixBetter pickNano Banana 2.1Qwen3.8 Max (0902)
Input-heavy / RAG5M input + 500K outputNano Banana 2.1$11.25$13
Balanced workload1M input + 1M outputQwen3.8 Max (0902)$9$8
Output-heavy chatbot1M input + 5M outputQwen3.8 Max (0902)$39$32
Cheaper input Nano Banana 2.1 $1.5 vs $2 / 1M

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

Cheaper output Qwen3.8 Max (0902) $7.5 vs $6 / 1M

Qwen3.8 Max (0902) is $1.5 cheaper per 1M output tokens (20% lower; 1.25x difference).

Larger context Qwen3.8 Max (0902) 65.54K vs 1M

Qwen3.8 Max (0902) has 934.46K more context (15.3x larger).

Sample workload Qwen3.8 Max (0902) $5.25 vs $5

Qwen3.8 Max (0902) is $0.25 cheaper on the standard workload (4.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nano Banana 2.1 Calculating… Estimated API cost
Qwen3.8 Max (0902) 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; Qwen3.8 Max (0902) has the lower output price; Qwen3.8 Max (0902) offers the larger context window. For the 1M input plus 500K output sample, Qwen3.8 Max (0902) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $5.25 for Nano Banana 2.1 and $5 for Qwen3.8 Max (0902).

Best Fit

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

Choose Qwen3.8 Max (0902) when you care most about lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.8 Max (0902) is estimated at $5 vs $5.25 for Nano Banana 2.1, saving $0.25 (4.8% lower).
  • Qwen3.8 Max (0902) is $0.25 cheaper on the standard workload (4.8% lower).
  • Nano Banana 2.1 is $0.5 cheaper per 1M input tokens (25% lower; 1.33x difference).
  • Qwen3.8 Max (0902) is $1.5 cheaper per 1M output tokens (20% lower; 1.25x difference).
  • Qwen3.8 Max (0902) has 934.46K more context (15.3x larger).
Head-to-Head Specs
FeatureNewNano Banana 2.1
(Google)
Qwen3.8 Max (0902)
(Qwen)
Input Price
prompt tokens per 1M
$1.5$2
Completion Price
per 1M tokens
$7.5$6
Sample Workload Cost
1M input + 500K output
$5.25$5
Context Window65.54K1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.8 Max (0902)On the standard 1M input plus 500K output workload, Qwen3.8 Max (0902) is estimated at $5 vs $5.25 for Nano Banana 2.1, saving $0.25 (4.8% 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 chatbotsQwen3.8 Max (0902)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.8 Max (0902)A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
Larger context near this budget

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

Google catalog

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

Open Google models

Qwen catalog

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

Open Qwen models
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,...

Qwen3.8 Max (0902)

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...