Allocate
DeepSeek V4.1 Flash
Open weightsDeepSeek V4.1 Flash is a language model from Deepseek with a 1M-token context window. Provider list price is $0.15 per million input tokens and $0.60 per million output; on Allocate you pay $0.16 and $0.64. The weights are open, so you can fine-tune it and own the result.
Pricing
Prices checked 2026-07-21.
Price against its peers
Provider list prices per M tokens, DeepSeek V4.1 Flash 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 × $0.15 + 350 × $0.60 = $390 a month. Billed on Allocate it is $417.30.
DeepSeek V4.1 Flash is an open-weights model; the catalog does not list its license, so check the lab's model card before commercial fine-tuning.
Example usage
Point a route at deepseek/deepseek-v4.1-flash 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-v4.1-flash",
"messages": [{ "role": "user", "content": "Summarise the attached contract." }]
}'Common questions
How much does DeepSeek V4.1 Flash cost per million tokens?
Provider list price is $0.15 per million input tokens and $0.60 per million output tokens. On Allocate you pay $0.16 in and $0.64 out.
What context window does DeepSeek V4.1 Flash have?
1,048,576 tokens (1M). At roughly 0.75 words per token, that is about 786k words of English text per request.
Can I fine-tune DeepSeek V4.1 Flash?
Yes. DeepSeek V4.1 Flash is an open-weights model; check the lab’s model card for the exact license terms. Read the license terms before fine-tuning for commercial use. On Allocate the trained weights stay inside your boundary and belong to you.
How do I call DeepSeek V4.1 Flash on Allocate?
Send deepseek/deepseek-v4.1-flash 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.