Both models report the same input price at $0.27 per 1M tokens.
API cost decision in 10 seconds
DeepSeek V3.1 Terminus vs DeepSeek V3.2 Exp
Pick DeepSeek V3.2 Exp when budget is the priority.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick DeepSeek V3.2 Exp when budget is the priority.
On the standard 1M input plus 500K output workload, DeepSeek V3.2 Exp is estimated at $0.47 vs $0.74 for DeepSeek V3.1 Terminus, saving $0.27 (36.2% lower).
Cost-first pickDeepSeek V3.2 Exp
Context-first pickBoth models
Sample savings$0.2736.2%
10x traffic gap$2.7
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $2.7. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
DeepSeek V3.2 Exp stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V3.1 Terminus | DeepSeek V3.2 Exp |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek V3.2 Exp | $1.83 | $1.56 |
| Balanced workload | 1M input + 1M output | DeepSeek V3.2 Exp | $1.22 | $0.68 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V3.2 Exp | $5.02 | $2.32 |
DeepSeek V3.2 Exp is $0.54 cheaper per 1M output tokens (56.8% lower; 2.32x difference).
Both models report the same context window at 163.84K tokens.
DeepSeek V3.2 Exp is $0.27 cheaper on the standard workload (36.2% 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
both models tie on input price; DeepSeek V3.2 Exp has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, DeepSeek V3.2 Exp is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.74 for DeepSeek V3.1 Terminus and $0.47 for DeepSeek V3.2 Exp.
Choose DeepSeek V3.1 Terminus when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose DeepSeek V3.2 Exp when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, DeepSeek V3.2 Exp is estimated at $0.47 vs $0.74 for DeepSeek V3.1 Terminus, saving $0.27 (36.2% lower).
- DeepSeek V3.2 Exp is $0.27 cheaper on the standard workload (36.2% lower).
- Both models report the same input price at $0.27 per 1M tokens.
- DeepSeek V3.2 Exp is $0.54 cheaper per 1M output tokens (56.8% lower; 2.32x difference).
- Both models report the same context window at 163.84K tokens.
| Feature | DeepSeek V3.1 Terminus (DeepSeek) | DeepSeek V3.2 Exp (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.27 | $0.27 |
| Completion Price per 1M tokens | $0.95 | $0.41 |
| Sample Workload Cost 1M input + 500K output | $0.74 | $0.47 |
| Context Window | 163.84K | 163.84K |
| Release Date | ||
| Popularity | #91 | #98 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V3.2 Exp | On the standard 1M input plus 500K output workload, DeepSeek V3.2 Exp is estimated at $0.47 vs $0.74 for DeepSeek V3.1 Terminus, saving $0.27 (36.2% lower). |
| High-volume input processing | Tie | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | DeepSeek V3.2 Exp | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- DeepSeek V4 Flash (free) can replace DeepSeek V3.1 Terminus when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash can replace DeepSeek V3.1 Terminus when lower sample workload cost matters most: $0.2.
- R1 Distill Qwen 32B can replace DeepSeek V3.1 Terminus when lower sample workload cost matters most: $0.43.
- DeepSeek V3.2 can replace DeepSeek V3.1 Terminus 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.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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Open DeepSeek modelsDeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...
DeepSeek-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...