deepseek-v4-pro-0813 β API, Pricing & Context Window | Vivgrid
deepseek-v4-pro-0813 on Vivgrid: DeepSeek's latest flagship coding model with a 1M-token context window, up to 384K output tokens, and lower pricing than deepseek-v4-pro.
deepseek-v4-pro-0813 is the 0813 release of DeepSeek's flagship coding model. It keeps the line's standout 1M-token context window and unusually large 384K-token max output, and lands at a lower price than deepseek-v4-pro β $1.35 per 1M input tokens, $0.05 cached, and $3.00 output.
It is a separate model id, not an in-place upgrade: deepseek-v4-pro stays available and unchanged, so you can pin either one.
On Vivgrid, deepseek-v4-pro-0813 is available through the unified, OpenAI-compatible endpoint, so you can route DeepSeek alongside OpenAI, Anthropic, and Google models with a single API key.
Specifications
| Provider | DeepSeek |
| Model ID | deepseek-v4-pro-0813 |
| Best for | Coding |
| Context window | 1,000,000 tokens |
| Max output | 384,000 tokens |
| Modalities | Text |
| Tool / function calling | Yes |
| Knowledge cutoff | 2025-05 |
| Acceleration | π Global (Centralized) |
Pricing
Pricing in USD per 1M tokens, matching the provider's rates.
| Input | Cached input | Output |
|---|---|---|
| $1.35 | $0.05 | $3.00 |
Quick start
Call deepseek-v4-pro-0813 through Vivgrid's unified, OpenAI-compatible endpoint. Get an API key from the Vivgrid Console.
curl https://api.vivgrid.com/v1/chat/completions \
-H "Authorization: Bearer $VIVGRID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-pro-0813",
"messages": [
{ "role": "user", "content": "Say hello in English, Chinese and Spanish." }
],
"stream": true
}'Ideal use cases
- Cost-effective coding agents needing very long context
- Tasks that generate large outputs (up to 384K tokens)
- Whole-repository reasoning and refactoring
- High-volume engineering workloads on a budget
Related models
- deepseek-v4-pro β the prior flagship release
- deepseek-v4-flash (0731) β faster, cheaper V4 sibling
- deepseek-v4-flash-vision-exp β multimodal DeepSeek sibling
gpt-5.3-codex
gpt-5.3-codex on Vivgrid: OpenAI's Codex-tuned coding model on the Responses API, with a 400K context window and geo-distributed acceleration.
deepseek-v4-flash-vision-exp
deepseek-v4-flash-vision-exp on Vivgrid: DeepSeek's fast, ultra-affordable model with image-input understanding, a 1M-token context window, and up to 384K output tokens.