Allocate
DeepSeek V4
APIDeepSeek V4 is a language model from Deepseek with a 512K-token context window. Provider list price is $1.74 per million input tokens and $3.48 per million output; on Allocate you pay $1.86 and $3.72. It is a closed model served over API; the weights are not published.
Pricing
Prices checked 2026-07-21.
Price against its peers
Provider list prices per M tokens, DeepSeek V4 against its nearest language peers by price.
What a real workload costs
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $1.74 + 350 × $3.48 = $3,306 a month. Billed on Allocate it is $3,537.
Where it fits
DeepSeek’s frontier-class model with 512K tokens of context. At $1.74 per million input tokens and $3.48 out, it undercuts the frontier flagships on list price while staying close on reasoning-heavy work.
- Reasoning-heavy agents
- Long-document analysis
- Cost-sensitive production routes
DeepSeek V4 is served over API. Route traffic to it by name, meter every token, and swap it out in one click when a better fit ships.
Example usage
Point a route at deepseek/deepseek-v4-pro and the endpoint never changes; swap the model behind it whenever you want.
curl https://api.allocate.network/v1/chat/completions \ -H "Authorization: Bearer $ALLOCATE_KEY" \ -d '{ "model": "deepseek/deepseek-v4-pro", "messages": [{"role": "user", "content": "Summarise the attached contract."}] }'
Common questions
How much does DeepSeek V4 cost per million tokens?
Provider list price is $1.74 per million input tokens and $3.48 per million output tokens. On Allocate you pay $1.86 in and $3.72 out.
What context window does DeepSeek V4 have?
512,000 tokens (512K). At roughly 0.75 words per token, that is about 384k words of English text per request.
What does cached input cost on DeepSeek V4?
$0.20 per million tokens at list ($0.21 billed). Repeated prompt prefixes, such as a stable system prompt or tool definitions, bill at this rate instead of the full input price.
Can I fine-tune DeepSeek V4?
No. DeepSeek V4 is a closed model served over API; the weights are not published. If you want a model you can train and own, start from an open-weights base in the catalog and fine-tune that.
How do I call DeepSeek V4 on Allocate?
Send deepseek/deepseek-v4-pro in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.