Context Window

Compare

Deep Research Preview 04 2026 vs DeepSeek Pro Latest

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.

Google

Model

Deep Research Preview 04 2026

Image input

Context window

131K

131,072 tokens · ~98K words

Model page
Deepseek

Model

DeepSeek Pro Latest

Tool 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.

Deep Research Preview 04 2026131K
DeepSeek Pro Latest1.0M

DeepSeek Pro Latest has about 8× the context window of the other in this pair.

Token calculator →Memory savings →

DeepSeek Pro Latest has 700% more context capacity (1048K vs 131K tokens). DeepSeek Pro Latest is 34% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use DeepSeek Pro Latest. Its 1048K context fits entire documents without chunking (vs 131K).

  • RAG / high-volume retrieval

    Use DeepSeek Pro Latest. Input tokens are 34% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use DeepSeek Pro Latest. Its 393K max output lets you generate complete artifacts in one request.

Full specs

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

SpecDeep Research Preview 04 2026DeepSeek Pro Latest
Context window131,072 tokens (131K)1,048,576 tokens (1048K)
Max output tokens65,536 tokens (65K)393,216 tokens (393K)
Speed tierBalancedBalanced
VisionYesNo
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoNo
Release dateN/ASep 2026

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.

ProviderDeep Research Preview 04 2026 inDeep Research Preview 04 2026 outDeepSeek Pro Latest inDeepSeek Pro Latest out
Google$2.00/M$12.00/M——
Openrouter——$1.32/M$3.96/M

Frequently asked questions

DeepSeek Pro Latest has a larger context window: 1048K tokens vs 131K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

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Use a smaller model.
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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.

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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