DeepSeek V3.2 is $1.75 cheaper per 1M input tokens (87.4% lower; 7.94x difference).
API cost decision in 10 seconds
🔥DeepSeek V3.2 vs 🔥Gemini 3.1 Pro Preview
Pick DeepSeek V3.2 for lower cost; pick Gemini 3.1 Pro Preview 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 DeepSeek V3.2 for lower cost; pick Gemini 3.1 Pro Preview only if the larger context window matters more.
On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $8 for Gemini 3.1 Pro Preview, saving $7.56 (94.5% lower).
Cost-first pickDeepSeek V3.2
Context-first pickGemini 3.1 Pro Preview
Sample savings$7.5694.5%
10x traffic gap$75.59
Gemini 3.1 Pro Preview has more context, but DeepSeek V3.2 saves $7.56 on the standard workload. At 10x that traffic, the same price gap is about $75.59. Use the calculator below to replace the sample workload with your own token volume.
DeepSeek V3.2 is $11.62 cheaper per 1M output tokens (96.9% lower; 31.7x difference).
Gemini 3.1 Pro Preview has 917.5K more context (8x larger).
DeepSeek V3.2 is $7.56 cheaper on the standard workload (94.5% 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; Gemini 3.1 Pro Preview offers the larger 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 $8 for Gemini 3.1 Pro Preview.
Choose DeepSeek V3.2 when you care most about lower input-token price, and lower output-token price.
Choose Gemini 3.1 Pro Preview when you care most about larger context window.
- On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $8 for Gemini 3.1 Pro Preview, saving $7.56 (94.5% lower).
- DeepSeek V3.2 is $7.56 cheaper on the standard workload (94.5% lower).
- DeepSeek V3.2 is $1.75 cheaper per 1M input tokens (87.4% lower; 7.94x difference).
- DeepSeek V3.2 is $11.62 cheaper per 1M output tokens (96.9% lower; 31.7x difference).
- Gemini 3.1 Pro Preview has 917.5K more context (8x larger).
| Feature | 🔥DeepSeek V3.2 (DeepSeek) | 🔥Gemini 3.1 Pro Preview (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.252 | $2 |
| Completion Price per 1M tokens | $0.378 | $12 |
| Sample Workload Cost 1M input + 500K output | $0.44 | $8 |
| Context Window | 131.07K | 1.05M |
| Release Date | 2025-12-01 | 2026-02-19 |
| Popularity Rank current rank | #7 | #20 |
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 $8 for Gemini 3.1 Pro Preview, saving $7.56 (94.5% 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 | Gemini 3.1 Pro Preview | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
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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...
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