DeepSeek V3.2 is $0.25 cheaper per 1M input tokens (49.6% lower; 1.98x difference).
API cost decision in 10 seconds
🔥DeepSeek V3.2 vs Nano Banana 2 (Gemini 3.1 Flash Image Preview)
Pick DeepSeek V3.2 when budget is the priority.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick DeepSeek V3.2 when budget is the priority.
On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview), saving $1.56 (78% lower).
Cost-first pickDeepSeek V3.2
Context-first pickBoth models
Sample savings$1.5678%
10x traffic gap$15.59
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $15.59. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
DeepSeek V3.2 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V3.2 | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek V3.2 | $1.45 | $4 |
| Balanced workload | 1M input + 1M output | DeepSeek V3.2 | $0.63 | $3.5 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V3.2 | $2.14 | $15.5 |
DeepSeek V3.2 is $2.62 cheaper per 1M output tokens (87.4% lower; 7.94x difference).
Both models report the same context window at 131.07K tokens.
DeepSeek V3.2 is $1.56 cheaper on the standard workload (78% 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
DeepSeek V3.2 has the lower input price; DeepSeek V3.2 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, DeepSeek V3.2 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.44 for DeepSeek V3.2 and $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview).
Choose DeepSeek V3.2 when you care most about lower input-token price, and lower output-token price.
Choose Nano Banana 2 (Gemini 3.1 Flash Image Preview) when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview), saving $1.56 (78% lower).
- DeepSeek V3.2 is $1.56 cheaper on the standard workload (78% lower).
- DeepSeek V3.2 is $0.25 cheaper per 1M input tokens (49.6% lower; 1.98x difference).
- DeepSeek V3.2 is $2.62 cheaper per 1M output tokens (87.4% lower; 7.94x difference).
- Both models report the same context window at 131.07K tokens.
| Feature | 🔥DeepSeek V3.2 (DeepSeek) | Nano Banana 2 (Gemini 3.1 Flash Image Preview) (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.252 | $0.5 |
| Completion Price per 1M tokens | $0.378 | $3 |
| Sample Workload Cost 1M input + 500K output | $0.44 | $2 |
| Context Window | 131.07K | 131.07K |
| Release Date | ||
| Popularity | #8 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V3.2 | On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview), saving $1.56 (78% lower). |
| High-volume input processing | DeepSeek V3.2 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | DeepSeek V3.2 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- DeepSeek V4 Flash (free) can replace DeepSeek V3.2 when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash can replace DeepSeek V3.2 when lower sample workload cost matters most: $0.2.
- R1 Distill Qwen 32B can replace DeepSeek V3.2 when lower sample workload cost matters most: $0.43.
- Gemma 4 26B A4B (free) can replace Nano Banana 2 (Gemini 3.1 Flash Image Preview) when lower sample workload cost matters most: $0.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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 modelsDeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
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...