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DeepSeek V3.1 vs Grok 4 20 Non Reasoning

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

DeepSeek V3.1

Tool calling

Context window

164K

163,840 tokens · ~123K words

Model page
Xai

Model

Grok 4 20 Non Reasoning

Image inputTool calling

Context window

2M

2,000,000 tokens · ~1.5M 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.

DeepSeek V3.1164K
Grok 4 20 Non Reasoning2M

Grok 4 20 Non Reasoning has about 12.2× the context window of the other in this pair.

Grok 4 20 Non Reasoning has 1120% more context capacity (2000K vs 163K tokens). DeepSeek V3.1 is 90% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Grok 4 20 Non Reasoning. Its 2000K context fits entire documents without chunking (vs 163K).

  • RAG / high-volume retrieval

    Use DeepSeek V3.1. Input tokens are 90% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Grok 4 20 Non Reasoning. Its 2000K 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.

SpecDeepSeek V3.1Grok 4 20 Non Reasoning
Context window163,840 tokens (163K)2,000,000 tokens (2000K)
Max output tokens163,840 tokens (163K)2,000,000 tokens (2000K)
Speed tierBalancedDeep
VisionNoYes
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesYes
Batch APINoNo
Release dateAug 2025N/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.

ProviderDeepSeek V3.1 inDeepSeek V3.1 outGrok 4 20 Non Reasoning inGrok 4 20 Non Reasoning out
Google Vertex$2.00/M$6.00/M
Openrouter$0.200/M$0.800/M

Frequently asked questions

Grok 4 20 Non Reasoning has a larger context window: 2000K tokens vs 163K. 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.

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