Predecessor 671B MoE architecture; DeepSeek routes legacy deepseek-chat requests to V4.1-Flash Need a token count first? Use the DeepSeek token counter.
deepseek-chat| Scenario | Input Tokens | Output Tokens | Uncached Cost | With Prompt Caching |
|---|---|---|---|---|
| Short Chat Query | 1,000 | 500 | $0.00028 | $0.00015 |
| Document Summarization | 10,000 | 2,000 | $0.00196 | $0.00070 |
| Codebase & Context Analysis | 100,000 | 20,000 | $0.0196 | $0.00700 |
| Batch Corpus Processing | 1,000,000 | 100,000 | $0.1680 | $0.0420 |
Tier 1 (free tier) reference limits — your account's actual quota may be higher.
Ideal for production workloads demanding balanced capabilities, deep context depth (128k tokens), and reliability from DeepSeek. Excellent when predictable tokenomics and prompt caching support are paramount.
If your use-case requires sub-second streaming latency or ultra-high frequency classification at micro-cent pricing, consider lighter budget options such as Gemini Flash-Lite or Claude Haiku. For deep formal logic, consider dedicated reasoning models like o3.
For DeepSeek-V3 (Legacy API Alias), 1 million input tokens costs $0.14, while 1 million output tokens costs $0.28. If using prompt caching, repetitive input prefixes are discounted to $0.014 per million.
DeepSeek-V3 (Legacy API Alias) features a maximum context window of 128,000 tokens (~96,000 words), with a maximum output limit of 8,192 tokens per completion.
DeepSeek-V3 (Legacy API Alias) utilizes the DeepSeek Byte-level BPE (~128k vocabulary). Token counting on TokenMath runs client-side to ensure maximum privacy.
Yes. DeepSeek-V3 (Legacy API Alias) supports prompt caching with a cached input rate of $0.014/1M (saving up to 90% on repeated input context).