API cost decision in 10 seconds
Solar Pro 3 vs 🔥DeepSeek V3.2
Pick DeepSeek V3.2 when budget and context both matter.
Budget verdict
Pick DeepSeek V3.2 when budget and context both matter.
On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $0.45 for Solar Pro 3, saving $0.009 (2% lower).
DeepSeek V3.2 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.09. 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 Solar Pro 3, balanced workload favors DeepSeek V3.2, and output-heavy chatbot favors DeepSeek V3.2.
| Workload shape | Token mix | Better pick | Solar Pro 3 | DeepSeek V3.2 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Solar Pro 3 | $1.05 | $1.45 |
| Balanced workload | 1M input + 1M output | DeepSeek V3.2 | $0.75 | $0.63 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V3.2 | $3.15 | $2.14 |
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
Solar Pro 3 has the lower input price, DeepSeek V3.2 has the lower output price, and DeepSeek V3.2 offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.45 for Solar Pro 3 and $0.44 for DeepSeek V3.2.
Choose Solar Pro 3 when you care most about lower input-token price.
Choose DeepSeek V3.2 when you care most about lower output-token price, and larger context window.
| Feature | Solar Pro 3 (Upstage) | 🔥DeepSeek V3.2 (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.25 |
| Completion Price per 1M tokens | $0.6 | $0.38 |
| Sample Workload Cost 1M input + 500K output | $0.45 | $0.44 |
| Context Window | 128K | 131.07K |
| Release Date | 2026-01-27 | 2025-12-01 |
| Popularity | #8 |
Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performance while maintaining computational efficiency. Optimized...
DeepSeek-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...
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 $0.45 for Solar Pro 3, saving $0.009 (2% lower). |
| High-volume input processing | Solar Pro 3 | Lower prompt-token price matters most when prompts or retrieved passages 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 | DeepSeek V3.2 | A larger context window leaves more room for retrieved passages and source files. |