Context Window

Compare

Databricks Deepseek V4 Pro 0813 vs Deepseek V4p1 Flash Us

This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.

Deepseek

Model

Databricks Deepseek V4 Pro 0813

Tool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page
Deepseek

Model

Deepseek V4p1 Flash Us

Image inputTool calling

Context window

1.0M

1,048,576 tokens · ~786K words

Model page

Context window · side by side

Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.

Databricks Deepseek V4 Pro 08131M
Deepseek V4p1 Flash Us1.0M

Deepseek V4p1 Flash Us has about 1× the context window of the other in this pair.

Token calculator →Memory savings →

Deepseek V4p1 Flash Us has 4% more context capacity (1048K vs 1000K tokens). Deepseek V4p1 Flash Us is 65% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Deepseek V4p1 Flash Us. Its 1048K context fits entire documents without chunking (vs 1000K).

  • RAG / high-volume retrieval

    Use Deepseek V4p1 Flash Us. Input tokens are 65% cheaper — critical when sending large retrieved contexts.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecDatabricks Deepseek V4 Pro 0813Deepseek V4p1 Flash Us
Context window1,000,000 tokens (1000K)1,048,576 tokens (1048K)
Max output tokens393,216 tokens (393K)393,216 tokens (393K)
Speed tierBalancedFast
VisionNoYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APINoNo
Release dateN/AN/A

Pricing matrix

Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.

ProviderDatabricks Deepseek V4 Pro 0813 inDatabricks Deepseek V4 Pro 0813 outDeepseek V4p1 Flash Us inDeepseek V4p1 Flash Us out
Databricks$1.32/M$3.96/M——
Fireworks——$0.450/M$1.80/M

Frequently asked questions

Deepseek V4p1 Flash Us has a larger context window: 1048K tokens vs 1000K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Calculate your savingsLearn about Mem0

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model