GPT-5.2-Codex is $0.25 cheaper per 1M input tokens (12.5% lower; 1.14x difference).
API cost decision in 10 seconds
GPT-5.2-Codex vs Nano Banana Pro (Gemini 3 Pro Image Preview)
Pick Nano Banana Pro (Gemini 3 Pro Image Preview) for lower cost; pick GPT-5.2-Codex only if the larger context window matters more.
Budget verdict
Pick Nano Banana Pro (Gemini 3 Pro Image Preview) for lower cost; pick GPT-5.2-Codex only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Nano Banana Pro (Gemini 3 Pro Image Preview) is estimated at $8 vs $8.75 for GPT-5.2-Codex, saving $0.75 (8.6% lower).
GPT-5.2-Codex has more context, but Nano Banana Pro (Gemini 3 Pro Image Preview) saves $0.75 on the standard workload. At 10x that traffic, the same price gap is about $7.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors GPT-5.2-Codex, balanced workload favors Nano Banana Pro (Gemini 3 Pro Image Preview), and output-heavy chatbot favors Nano Banana Pro (Gemini 3 Pro Image Preview).
| Workload shape | Token mix | Better pick | GPT-5.2-Codex | Nano Banana Pro (Gemini 3 Pro Image Preview) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-5.2-Codex | $15.75 | $16 |
| Balanced workload | 1M input + 1M output | Nano Banana Pro (Gemini 3 Pro Image Preview) | $15.75 | $14 |
| Output-heavy chatbot | 1M input + 5M output | Nano Banana Pro (Gemini 3 Pro Image Preview) | $71.75 | $62 |
Nano Banana Pro (Gemini 3 Pro Image Preview) is $2 cheaper per 1M output tokens (14.3% lower; 1.17x difference).
GPT-5.2-Codex has 334.46K more context (6.1x larger).
Nano Banana Pro (Gemini 3 Pro Image Preview) is $0.75 cheaper on the standard workload (8.6% lower).
Estimate your workload cost
Your Workload Cost
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
GPT-5.2-Codex has the lower input price; Nano Banana Pro (Gemini 3 Pro Image Preview) has the lower output price; GPT-5.2-Codex offers the larger context window. For the 1M input plus 500K output sample, Nano Banana Pro (Gemini 3 Pro Image Preview) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $8.75 for GPT-5.2-Codex and $8 for Nano Banana Pro (Gemini 3 Pro Image Preview).
Choose GPT-5.2-Codex when you care most about lower input-token price, and larger context window.
Choose Nano Banana Pro (Gemini 3 Pro Image Preview) when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, Nano Banana Pro (Gemini 3 Pro Image Preview) is estimated at $8 vs $8.75 for GPT-5.2-Codex, saving $0.75 (8.6% lower).
- Nano Banana Pro (Gemini 3 Pro Image Preview) is $0.75 cheaper on the standard workload (8.6% lower).
- GPT-5.2-Codex is $0.25 cheaper per 1M input tokens (12.5% lower; 1.14x difference).
- Nano Banana Pro (Gemini 3 Pro Image Preview) is $2 cheaper per 1M output tokens (14.3% lower; 1.17x difference).
- GPT-5.2-Codex has 334.46K more context (6.1x larger).
| Feature | GPT-5.2-Codex (OpenAI) | Nano Banana Pro (Gemini 3 Pro Image Preview) (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.75 | $2 |
| Completion Price per 1M tokens | $14 | $12 |
| Sample Workload Cost 1M input + 500K output | $8.75 | $8 |
| Context Window | 400K | 65.54K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nano Banana Pro (Gemini 3 Pro Image Preview) | On the standard 1M input plus 500K output workload, Nano Banana Pro (Gemini 3 Pro Image Preview) is estimated at $8 vs $8.75 for GPT-5.2-Codex, saving $0.75 (8.6% lower). |
| High-volume input processing | GPT-5.2-Codex | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nano Banana Pro (Gemini 3 Pro Image Preview) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.2-Codex | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.2-Codex when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.2-Codex when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.2-Codex when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.2-Codex when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- GPT-5.4 offers 1.05M context with $10 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open Google modelsGPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
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...