API cost decision in 10 seconds

Nano Banana 2 (Gemini 3.1 Flash Image Preview) vs GPT-5.1-Codex-Max

Pick Nano Banana 2 (Gemini 3.1 Flash Image Preview) for lower cost; pick GPT-5.1-Codex-Max only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nano Banana 2 (Gemini 3.1 Flash Image Preview) for lower cost; pick GPT-5.1-Codex-Max only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nano Banana 2 (Gemini 3.1 Flash Image Preview) is estimated at $2 vs $6.25 for GPT-5.1-Codex-Max, saving $4.25 (68% lower).

Cost-first pickNano Banana 2 (Gemini 3.1 Flash Image Preview)
Context-first pickGPT-5.1-Codex-Max
Sample savings$4.2568%
10x traffic gap$42.5

GPT-5.1-Codex-Max has more context, but Nano Banana 2 (Gemini 3.1 Flash Image Preview) saves $4.25 on the standard workload. At 10x that traffic, the same price gap is about $42.5. 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 (Gemini 3.1 Flash Image Preview) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickNano Banana 2 (Gemini 3.1 Flash Image Preview)GPT-5.1-Codex-Max
Input-heavy / RAG5M input + 500K outputNano Banana 2 (Gemini 3.1 Flash Image Preview)$4$11.25
Balanced workload1M input + 1M outputNano Banana 2 (Gemini 3.1 Flash Image Preview)$3.5$11.25
Output-heavy chatbot1M input + 5M outputNano Banana 2 (Gemini 3.1 Flash Image Preview)$15.5$51.25
Cheaper input Nano Banana 2 (Gemini 3.1 Flash Image Preview) $0.5 vs $1.25 / 1M

Nano Banana 2 (Gemini 3.1 Flash Image Preview) is $0.75 cheaper per 1M input tokens (60% lower; 2.5x difference).

Cheaper output Nano Banana 2 (Gemini 3.1 Flash Image Preview) $3 vs $10 / 1M

Nano Banana 2 (Gemini 3.1 Flash Image Preview) is $7 cheaper per 1M output tokens (70% lower; 3.33x difference).

Larger context GPT-5.1-Codex-Max 131.07K vs 400K

GPT-5.1-Codex-Max has 268.93K more context (3.05x larger).

Sample workload Nano Banana 2 (Gemini 3.1 Flash Image Preview) $2 vs $6.25

Nano Banana 2 (Gemini 3.1 Flash Image Preview) is $4.25 cheaper on the standard workload (68% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nano Banana 2 (Gemini 3.1 Flash Image Preview) Calculating… Estimated API cost
GPT-5.1-Codex-Max 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 (Gemini 3.1 Flash Image Preview) has the lower input price; Nano Banana 2 (Gemini 3.1 Flash Image Preview) has the lower output price; GPT-5.1-Codex-Max offers the larger context window. For the 1M input plus 500K output sample, Nano Banana 2 (Gemini 3.1 Flash Image Preview) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview) and $6.25 for GPT-5.1-Codex-Max.

Best Fit

Choose Nano Banana 2 (Gemini 3.1 Flash Image Preview) when you care most about lower input-token price, and lower output-token price.

Choose GPT-5.1-Codex-Max when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nano Banana 2 (Gemini 3.1 Flash Image Preview) is estimated at $2 vs $6.25 for GPT-5.1-Codex-Max, saving $4.25 (68% lower).
  • Nano Banana 2 (Gemini 3.1 Flash Image Preview) is $4.25 cheaper on the standard workload (68% lower).
  • Nano Banana 2 (Gemini 3.1 Flash Image Preview) is $0.75 cheaper per 1M input tokens (60% lower; 2.5x difference).
  • Nano Banana 2 (Gemini 3.1 Flash Image Preview) is $7 cheaper per 1M output tokens (70% lower; 3.33x difference).
  • GPT-5.1-Codex-Max has 268.93K more context (3.05x larger).
Head-to-Head Specs
FeatureNano Banana 2 (Gemini 3.1 Flash Image Preview)
(Google)
GPT-5.1-Codex-Max
(OpenAI)
Input Price
prompt tokens per 1M
$0.5$1.25
Completion Price
per 1M tokens
$3$10
Sample Workload Cost
1M input + 500K output
$2$6.25
Context Window131.07K400K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNano Banana 2 (Gemini 3.1 Flash Image Preview)On the standard 1M input plus 500K output workload, Nano Banana 2 (Gemini 3.1 Flash Image Preview) is estimated at $2 vs $6.25 for GPT-5.1-Codex-Max, saving $4.25 (68% lower).
High-volume input processingNano Banana 2 (Gemini 3.1 Flash Image Preview)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNano Banana 2 (Gemini 3.1 Flash Image Preview)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.1-Codex-MaxA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Gemma 4 26B A4B (free) can replace Nano Banana 2 (Gemini 3.1 Flash Image Preview) when lower sample workload cost matters most: $0.
  • Gemma 4 31B (free) 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.
  • Lyria 3 Clip Preview can replace Nano Banana 2 (Gemini 3.1 Flash Image Preview) when lower sample workload cost matters most: $0.
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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...

GPT-5.1-Codex-Max

GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic...