Nano Banana (Gemini 2.5 Flash Image) vs GPT-5.2 Codex
Nano Banana (Gemini 2.5 Flash Image) (2025) and GPT-5.2 Codex (2025) compare a standalone API model against a coding-specialized model. Nano Banana (Gemini 2.5 Flash Image) ships a 33k-token context window, while GPT-5.2 Codex ships a not-yet-sourced context window. On pricing, Nano Banana (Gemini 2.5 Flash Image) costs $0.30/1M input tokens versus $1.75/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Nano Banana (Gemini 2.5 Flash Image) is standalone API model, while GPT-5.2 Codex is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Nano Banana (Gemini 2.5 Flash Image) | GPT-5.2 Codex |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | provider-routed production | custom coding agents, code generation, and tool loops |
| Decision fit | General | Coding, Agents, and Vision |
| Context window | 33k | — |
| Cheapest output | $30/1M tokens | $14/1M tokens |
| Provider routes | 4 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Nano Banana (Gemini 2.5 Flash Image) has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Nano Banana (Gemini 2.5 Flash Image) has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-5.2 Codex has the lower cheapest tracked output price at $14/1M tokens.
- GPT-5.2 Codex uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags GPT-5.2 Codex for Coding, Agents, and Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Nano Banana (Gemini 2.5 Flash Image)
$7,740
Cheapest tracked route/tier: Google AI Studio
GPT-5.2 Codex
$4,900
Cheapest tracked route/tier: Vercel AI Gateway
Estimated monthly gap: $2,840. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
- GPT-5.2 Codex is $16/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- GPT-5.2 Codex adds Vision, Multimodal, and Reasoning in local capability data.
- Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
- Nano Banana (Gemini 2.5 Flash Image) is $16/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-01 | 2025-12-18 |
| Context window | 33k | — |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | - | 2025-08 |
Pricing and availability
| Pricing attribute | Nano Banana (Gemini 2.5 Flash Image) | GPT-5.2 Codex |
|---|---|---|
| Input price | $0.30/1M tokens | $1.75/1M tokens |
| Output price | $30/1M tokens | $14/1M tokens |
| Providers |
Capabilities
| Capability | Nano Banana (Gemini 2.5 Flash Image) | GPT-5.2 Codex |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | No |
| Code execution | No | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: GPT-5.2 Codex, multimodal input: GPT-5.2 Codex, reasoning mode: GPT-5.2 Codex, function calling: GPT-5.2 Codex, tool use: GPT-5.2 Codex, and code execution: GPT-5.2 Codex. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Nano Banana (Gemini 2.5 Flash Image) lists $0.30/1M input and $30/1M output tokens on the cheapest tracked provider, while GPT-5.2 Codex lists $1.75/1M input and $14/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GPT-5.2 Codex lower by about $3.79 per million blended tokens. Availability is 4 providers versus 1, so concentration risk also matters.
Choose Nano Banana (Gemini 2.5 Flash Image) when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose GPT-5.2 Codex when coding workflow support are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which is cheaper, Nano Banana (Gemini 2.5 Flash Image) or GPT-5.2 Codex?
GPT-5.2 Codex is cheaper on tracked token pricing. Nano Banana (Gemini 2.5 Flash Image) costs $0.30/1M input and $30/1M output tokens. GPT-5.2 Codex costs $1.75/1M input and $14/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Nano Banana (Gemini 2.5 Flash Image) or GPT-5.2 Codex open source?
Nano Banana (Gemini 2.5 Flash Image) is listed under Proprietary. GPT-5.2 Codex is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Nano Banana (Gemini 2.5 Flash Image) or GPT-5.2 Codex?
GPT-5.2 Codex has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Nano Banana (Gemini 2.5 Flash Image) or GPT-5.2 Codex?
GPT-5.2 Codex has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for reasoning mode, Nano Banana (Gemini 2.5 Flash Image) or GPT-5.2 Codex?
GPT-5.2 Codex has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Nano Banana (Gemini 2.5 Flash Image) and GPT-5.2 Codex?
Nano Banana (Gemini 2.5 Flash Image) is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Vercel AI Gateway. GPT-5.2 Codex is available on Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.