deepseek-ai/DeepSeek-V4-Pro-0813 is a advanced-tier language model from Together AI. deepseek-ai/DeepSeek-V4-Pro-0813 is a proprietary model available exclusively through Together AI'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-ai/DeepSeek-V4-Pro-0813 is priced at $1.32/1M input tokens and $3.96/1M output tokens. Output tokens are 3× 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-ai/DeepSeek-V4-Pro-0813 costs approximately $3.30 per 1,000 API calls. Together AI does not publish a prompt caching rate for this model, so repeated long contexts are billed at the standard $1.32/1M input rate.
Its 131K-token context window handles most long-document tasks — roughly 75,000 words or a full novel — without requiring chunking or retrieval augmentation. Median latency (P50 time-to-first-token) is approximately 450ms — suitable for interactive applications where sub-second response is acceptable. Throughput is approximately 130 tokens/second — adequate for streaming at comfortable reading speed. Maximum output length is 16K tokens — sufficient for long-form content generation, detailed code files, and extended reports.
deepseek-ai/DeepSeek-V4-Pro-0813 is best suited to coding, chat, cost. Supported capabilities include function calling / tool use for agentic workflows, streaming token output for real-time UIs. Function calling support makes it suitable for building AI agents, structured data extraction pipelines, and any workflow requiring the model to invoke external APIs or return typed JSON. 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-ai/DeepSeek-V4-Pro-0813 compares to similar models across these dimensions.
deepseek-ai/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-ai/DeepSeek-V4-Pro-0813 is only available via Together AI's API — there is no self-hosted option, which simplifies deployment but creates vendor dependency. When comparing deepseek-ai/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 (88/100) 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.
Composite quality score based on reasoning, coding, and instruction-following benchmarks.
Input price vs 184 advanced models tracked. Avg: $1.38/1M.
| Model ID | deepseek-ai/DeepSeek-V4-Pro-0813 |
| Provider | Together AI |
| Model Family | DeepSeek V4 |
| Tier | Advanced |
| Context Window | 131,072 tokens (131K) |
| Max Output Tokens | 16,384 tokens |
| Input Price | $1.32 / 1M tokens |
| Output Price | $3.96 / 1M tokens |
| Cached Input Price | Not available |
| Throughput | 130 tokens/sec |
| Latency (P50) | 450ms |
| Intelligence Score | 88/100 |
| 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 | Yes |
| Streaming | Yes |
| Reasoning Model | No |
| Open Weights | No |
| Data Source | Static (verified) |
| Last Updated | 2026-10-15 |
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Self-hosting deepseek-ai/DeepSeek-V4-Pro-0813? These GPUs are well-matched for this model's compute and memory requirements.