DeepSeek V3.2 Speciale is $1.46 cheaper per 1M input tokens (83.6% lower; 6.1x difference).
API cost decision in 10 seconds
GPT-5.2 Chat vs DeepSeek V3.2 Speciale
Pick DeepSeek V3.2 Speciale when budget and context both matter.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick DeepSeek V3.2 Speciale when budget and context both matter.
On the standard 1M input plus 500K output workload, DeepSeek V3.2 Speciale is estimated at $0.5 vs $8.75 for GPT-5.2 Chat, saving $8.25 (94.3% lower).
Cost-first pickDeepSeek V3.2 Speciale
Context-first pickDeepSeek V3.2 Speciale
Sample savings$8.2594.3%
10x traffic gap$82.48
DeepSeek V3.2 Speciale is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $82.48. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
DeepSeek V3.2 Speciale stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-5.2 Chat | DeepSeek V3.2 Speciale |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek V3.2 Speciale | $15.75 | $1.65 |
| Balanced workload | 1M input + 1M output | DeepSeek V3.2 Speciale | $15.75 | $0.72 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V3.2 Speciale | $71.75 | $2.44 |
DeepSeek V3.2 Speciale is $13.57 cheaper per 1M output tokens (96.9% lower; 32.5x difference).
DeepSeek V3.2 Speciale has 35.84K more context (1.28x larger).
DeepSeek V3.2 Speciale is $8.25 cheaper on the standard workload (94.3% 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
DeepSeek V3.2 Speciale has the lower input price; DeepSeek V3.2 Speciale has the lower output price; DeepSeek V3.2 Speciale offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V3.2 Speciale is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $8.75 for GPT-5.2 Chat and $0.5 for DeepSeek V3.2 Speciale.
Choose GPT-5.2 Chat when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose DeepSeek V3.2 Speciale when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, DeepSeek V3.2 Speciale is estimated at $0.5 vs $8.75 for GPT-5.2 Chat, saving $8.25 (94.3% lower).
- DeepSeek V3.2 Speciale is $8.25 cheaper on the standard workload (94.3% lower).
- DeepSeek V3.2 Speciale is $1.46 cheaper per 1M input tokens (83.6% lower; 6.1x difference).
- DeepSeek V3.2 Speciale is $13.57 cheaper per 1M output tokens (96.9% lower; 32.5x difference).
- DeepSeek V3.2 Speciale has 35.84K more context (1.28x larger).
| Feature | GPT-5.2 Chat (OpenAI) | DeepSeek V3.2 Speciale (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.75 | $0.287 |
| Completion Price per 1M tokens | $14 | $0.431 |
| Sample Workload Cost 1M input + 500K output | $8.75 | $0.5 |
| Context Window | 128K | 163.84K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V3.2 Speciale | On the standard 1M input plus 500K output workload, DeepSeek V3.2 Speciale is estimated at $0.5 vs $8.75 for GPT-5.2 Chat, saving $8.25 (94.3% lower). |
| High-volume input processing | DeepSeek V3.2 Speciale | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | DeepSeek V3.2 Speciale | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V3.2 Speciale | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.2 Chat when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.2 Chat when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.2 Chat when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.2 Chat when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- GPT-5.4 offers 1.05M context with $10 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
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