Voxtral Small 24B 2507 is $0.15 cheaper per 1M input tokens (60.3% lower; 2.52x difference).
API cost decision in 10 seconds
🔥DeepSeek V3.2 vs Voxtral Small 24B 2507
Pick Voxtral Small 24B 2507 for lower cost; pick DeepSeek V3.2 only if the larger context window matters more.
Budget verdict
Pick Voxtral Small 24B 2507 for lower cost; pick DeepSeek V3.2 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Voxtral Small 24B 2507 is estimated at $0.25 vs $0.44 for DeepSeek V3.2, saving $0.19 (43.3% lower).
DeepSeek V3.2 has more context, but Voxtral Small 24B 2507 saves $0.19 on the standard workload. At 10x that traffic, the same price gap is about $1.91. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Voxtral Small 24B 2507 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V3.2 | Voxtral Small 24B 2507 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Voxtral Small 24B 2507 | $1.45 | $0.65 |
| Balanced workload | 1M input + 1M output | Voxtral Small 24B 2507 | $0.63 | $0.4 |
| Output-heavy chatbot | 1M input + 5M output | Voxtral Small 24B 2507 | $2.14 | $1.6 |
Voxtral Small 24B 2507 is $0.08 cheaper per 1M output tokens (20.6% lower; 1.26x difference).
DeepSeek V3.2 has 99.07K more context (4.1x larger).
Voxtral Small 24B 2507 is $0.19 cheaper on the standard workload (43.3% 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
Voxtral Small 24B 2507 has the lower input price; Voxtral Small 24B 2507 has the lower output price; DeepSeek V3.2 offers the larger context window. For the 1M input plus 500K output sample, Voxtral Small 24B 2507 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 $0.25 for Voxtral Small 24B 2507.
Choose DeepSeek V3.2 when you care most about larger context window.
Choose Voxtral Small 24B 2507 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Voxtral Small 24B 2507 is estimated at $0.25 vs $0.44 for DeepSeek V3.2, saving $0.19 (43.3% lower).
- Voxtral Small 24B 2507 is $0.19 cheaper on the standard workload (43.3% lower).
- Voxtral Small 24B 2507 is $0.15 cheaper per 1M input tokens (60.3% lower; 2.52x difference).
- Voxtral Small 24B 2507 is $0.08 cheaper per 1M output tokens (20.6% lower; 1.26x difference).
- DeepSeek V3.2 has 99.07K more context (4.1x larger).
| Feature | 🔥DeepSeek V3.2 (DeepSeek) | Voxtral Small 24B 2507 (Mistral) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.252 | $0.1 |
| Completion Price per 1M tokens | $0.378 | $0.3 |
| Sample Workload Cost 1M input + 500K output | $0.44 | $0.25 |
| Context Window | 131.07K | 32K |
| Release Date | ||
| Popularity | #8 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Voxtral Small 24B 2507 | On the standard 1M input plus 500K output workload, Voxtral Small 24B 2507 is estimated at $0.25 vs $0.44 for DeepSeek V3.2, saving $0.19 (43.3% lower). |
| High-volume input processing | Voxtral Small 24B 2507 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Voxtral Small 24B 2507 | 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, 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 Voxtral Small 24B 2507 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...
Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio...