Mistral Small 4 is $0.1 cheaper per 1M input tokens (40.5% lower; 1.68x difference).
API cost decision in 10 seconds
🔥DeepSeek V3.2 vs Mistral Small 4
Pick DeepSeek V3.2 for lower cost; pick Mistral Small 4 only if the larger context window matters more.
Budget verdict
Pick DeepSeek V3.2 for lower cost; pick Mistral Small 4 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 $0.45 for Mistral Small 4, saving $0.009 (2% lower).
Mistral Small 4 has more context, but DeepSeek V3.2 saves $0.009 on the standard workload. 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 Mistral Small 4, balanced workload favors DeepSeek V3.2, and output-heavy chatbot favors DeepSeek V3.2.
| Workload shape | Token mix | Better pick | DeepSeek V3.2 | Mistral Small 4 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Mistral Small 4 | $1.45 | $1.05 |
| Balanced workload | 1M input + 1M output | DeepSeek V3.2 | $0.63 | $0.75 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V3.2 | $2.14 | $3.15 |
DeepSeek V3.2 is $0.22 cheaper per 1M output tokens (37% lower; 1.59x difference).
Mistral Small 4 has 131.07K more context (2x larger).
DeepSeek V3.2 is $0.009 cheaper on the standard workload (2% 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
Mistral Small 4 has the lower input price; DeepSeek V3.2 has the lower output price; Mistral Small 4 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 $0.45 for Mistral Small 4.
Choose DeepSeek V3.2 when you care most about lower output-token price.
Choose Mistral Small 4 when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $0.45 for Mistral Small 4, saving $0.009 (2% lower).
- DeepSeek V3.2 is $0.009 cheaper on the standard workload (2% lower).
- Mistral Small 4 is $0.1 cheaper per 1M input tokens (40.5% lower; 1.68x difference).
- DeepSeek V3.2 is $0.22 cheaper per 1M output tokens (37% lower; 1.59x difference).
- Mistral Small 4 has 131.07K more context (2x larger).
| Feature | 🔥DeepSeek V3.2 (DeepSeek) | Mistral Small 4 (Mistral) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.252 | $0.15 |
| Completion Price per 1M tokens | $0.378 | $0.6 |
| Sample Workload Cost 1M input + 500K output | $0.44 | $0.45 |
| Context Window | 131.07K | 262.14K |
| 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 $0.45 for Mistral Small 4, saving $0.009 (2% lower). |
| High-volume input processing | Mistral Small 4 | 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 | Mistral Small 4 | 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.
- Mistral Nemo can replace Mistral Small 4 when lower sample workload cost matters most: $0.04.
- Llama 4 Scout offers 10M context with $0.23 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.
- Gemini 2.5 Flash Lite offers 1.05M context with $0.3 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
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsDeepSeek catalog
Review all tracked DeepSeek models before deciding whether this matchup is the right shortlist.
Open DeepSeek modelsMistral catalog
Check other Mistral models with comparable pricing, context, or release timing.
Open Mistral 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...
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...