Qwen3 14B is $0.17 cheaper per 1M input tokens (63% lower; 2.7x difference).
API cost decision in 10 seconds
DeepSeek V3.2 Exp vs Qwen3 14B
Pick Qwen3 14B for lower cost; pick DeepSeek V3.2 Exp only if the larger context window matters more.
Budget verdict
Pick Qwen3 14B for lower cost; pick DeepSeek V3.2 Exp only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $0.47 for DeepSeek V3.2 Exp, saving $0.26 (53.7% lower).
DeepSeek V3.2 Exp has more context, but Qwen3 14B saves $0.26 on the standard workload. At 10x that traffic, the same price gap is about $2.55. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3 14B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V3.2 Exp | Qwen3 14B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 14B | $1.56 | $0.62 |
| Balanced workload | 1M input + 1M output | Qwen3 14B | $0.68 | $0.34 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 14B | $2.32 | $1.3 |
Qwen3 14B is $0.17 cheaper per 1M output tokens (41.5% lower; 1.71x difference).
DeepSeek V3.2 Exp has 32.14K more context (1.24x larger).
Qwen3 14B is $0.26 cheaper on the standard workload (53.7% 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
Qwen3 14B has the lower input price; Qwen3 14B has the lower output price; DeepSeek V3.2 Exp offers the larger context window. For the 1M input plus 500K output sample, Qwen3 14B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.47 for DeepSeek V3.2 Exp and $0.22 for Qwen3 14B.
Choose DeepSeek V3.2 Exp when you care most about larger context window.
Choose Qwen3 14B when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $0.47 for DeepSeek V3.2 Exp, saving $0.26 (53.7% lower).
- Qwen3 14B is $0.26 cheaper on the standard workload (53.7% lower).
- Qwen3 14B is $0.17 cheaper per 1M input tokens (63% lower; 2.7x difference).
- Qwen3 14B is $0.17 cheaper per 1M output tokens (41.5% lower; 1.71x difference).
- DeepSeek V3.2 Exp has 32.14K more context (1.24x larger).
| Feature | DeepSeek V3.2 Exp (DeepSeek) | Qwen3 14B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.27 | $0.1 |
| Completion Price per 1M tokens | $0.41 | $0.24 |
| Sample Workload Cost 1M input + 500K output | $0.47 | $0.22 |
| Context Window | 163.84K | 131.7K |
| Release Date | ||
| Popularity | #98 | #138 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 14B | On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $0.47 for DeepSeek V3.2 Exp, saving $0.26 (53.7% lower). |
| High-volume input processing | Qwen3 14B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3 14B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V3.2 Exp | 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 Exp when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash can replace DeepSeek V3.2 Exp when lower sample workload cost matters most: $0.2.
- R1 Distill Qwen 32B can replace DeepSeek V3.2 Exp when lower sample workload cost matters most: $0.43.
- DeepSeek V3.2 can replace DeepSeek V3.2 Exp when lower sample workload cost matters most: $0.44.
- 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
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Open provider hubsDeepSeek catalog
Review all tracked DeepSeek models before deciding whether this matchup is the right shortlist.
Open DeepSeek modelsQwen catalog
Check other Qwen models with comparable pricing, context, or release timing.
Open Qwen modelsDeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...