deepseek/deepseek-v4-pro-0813
deepseek/deepseek-v4-pro-0813 is a advanced-tier language model from RouterPlus. deepseek/deepseek-v4-pro-0813 is a proprietary model available exclusively through RouterPlus's API. DeepSeek is a Chinese AI lab's open-weights model family, known for competitive performance at very low API prices — particularly strong on coding and math benchmarks.
deepseek/deepseek-v4-pro-0813 is priced at $1.3/1M input tokens and $2.6/1M output tokens. Output tokens are 2× more expensive than input tokens — this ratio reflects the sequential nature of autoregressive generation, which requires a separate forward pass per output token versus parallel processing of all input tokens simultaneously. At a typical usage pattern of 1,000 input tokens and 500 output tokens per call, deepseek/deepseek-v4-pro-0813 costs approximately $2.60 per 1,000 API calls. Prompt caching reduces repeated input tokens to $0.1/1M — a 92% discount that compounds significantly for applications with long shared system prompts, multi-turn conversations, or document Q&A where the same context is reused across many queries.
Its 1.0M-token context window is among the largest available — sufficient for processing entire codebases, book-length documents, or hours of transcribed audio in a single API call. Maximum output length is 524K tokens — sufficient for long-form content generation, detailed code files, and extended reports.
deepseek/deepseek-v4-pro-0813 is best suited to general language tasks. Supported capabilities include streaming token output for real-time UIs. When evaluating this model for a specific workload, the most important factors are: context window (does your input fit?), output price (how long are your generations?), and latency (is this interactive or batch?). The pricing table above shows how deepseek/deepseek-v4-pro-0813 compares to similar models across these dimensions.
deepseek/deepseek-v4-pro-0813 sits in the advanced tier — strong general-purpose models balancing capability and cost, suitable for most production applications. Unlike open-weights alternatives, deepseek/deepseek-v4-pro-0813 is only available via RouterPlus's API — there is no self-hosted option, which simplifies deployment but creates vendor dependency. When comparing deepseek/deepseek-v4-pro-0813 to alternatives, use the similar models section on this page to find models at comparable price points with different capability tradeoffs. The intelligence score (N/A/100) reflects aggregate benchmark performance — a useful proxy for general capability, though real-world performance varies significantly by task type. Always test with your specific prompts and use case before committing to a model for production.
Input price vs 184 advanced models tracked. Avg: $1.38/1M.
| Model ID | deepseek/deepseek-v4-pro-0813 |
| Provider | RouterPlus |
| Model Family | DeepSeek V4 |
| Tier | Advanced |
| Context Window | 1,048,576 tokens (1.0M) |
| Max Output Tokens | 524,288 tokens |
| Input Price | $1.3 / 1M tokens |
| Output Price | $2.6 / 1M tokens |
| Cached Input Price | $0.1 / 1M tokens |
| Throughput | — |
| Latency (P50) | — |
| Intelligence Score | — |
| LiveBench Score | — |
| Cost per Task (LiveBench) | — |
| Data Confidence | — |
| HLE Score | — |
| GPQA Diamond | — |
| SWE-bench Score | — |
| OSWorld Score | — |
| BrowseComp Score | — |
| Terminal-Bench Score | — |
| AutoBench Score | — |
| Parameters | — |
| Vision Support | No |
| Function Calling | No |
| Streaming | Yes |
| Reasoning Model | No |
| Open Weights | No |
| Data Source | Live API |
| Last Updated | 2026-11-01 |
Self-hosting deepseek/deepseek-v4-pro-0813? These GPUs are well-matched for this model's compute and memory requirements.