DeepSeek V3.2 is $4.75 cheaper per 1M input tokens (95% lower; 19.8x difference).
API cost decision in 10 seconds
🔥DeepSeek V3.2 vs 🔥Claude Opus 4.6
Pick DeepSeek V3.2 for lower cost; pick Claude Opus 4.6 only if the larger context window matters more.
Budget verdict
Pick DeepSeek V3.2 for lower cost; pick Claude Opus 4.6 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 $17.5 for Claude Opus 4.6, saving $17.06 (97.5% lower).
Claude Opus 4.6 has more context, but DeepSeek V3.2 saves $17.06 on the standard workload. At 10x that traffic, the same price gap is about $170.59. Use the calculator below to replace the sample workload with your own token volume.
DeepSeek V3.2 is $24.62 cheaper per 1M output tokens (98.5% lower; 66.1x difference).
Claude Opus 4.6 has 868.93K more context (7.63x larger).
DeepSeek V3.2 is $17.06 cheaper on the standard workload (97.5% 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 has the lower input price; DeepSeek V3.2 has the lower output price; Claude Opus 4.6 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 $17.5 for Claude Opus 4.6.
Choose DeepSeek V3.2 when you care most about lower input-token price, and lower output-token price.
Choose Claude Opus 4.6 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $17.5 for Claude Opus 4.6, saving $17.06 (97.5% lower).
- DeepSeek V3.2 is $17.06 cheaper on the standard workload (97.5% lower).
- DeepSeek V3.2 is $4.75 cheaper per 1M input tokens (95% lower; 19.8x difference).
- DeepSeek V3.2 is $24.62 cheaper per 1M output tokens (98.5% lower; 66.1x difference).
- Claude Opus 4.6 has 868.93K more context (7.63x larger).
| Feature | 🔥DeepSeek V3.2 (DeepSeek) | 🔥Claude Opus 4.6 (Anthropic) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.252 | $5 |
| Completion Price per 1M tokens | $0.378 | $25 |
| Sample Workload Cost 1M input + 500K output | $0.44 | $17.5 |
| Context Window | 131.07K | 1M |
| Release Date | ||
| Popularity Rank current rank | #7 | #11 |
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 $17.5 for Claude Opus 4.6, saving $17.06 (97.5% lower). |
| High-volume input processing | DeepSeek V3.2 | 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 | Claude Opus 4.6 | 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: $0.22.
- R1 Distill Qwen 32B can replace DeepSeek V3.2 when lower sample workload cost matters most: $0.43.
- Claude 3 Haiku can replace Claude Opus 4.6 when lower sample workload cost matters most: $0.88.
- 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-5.5 offers 1.05M context with $20 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
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Open Anthropic 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...
Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...