Context Window

Compare

DeepSeek V3.2 Speciale vs Mistral Large 4 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.

Deepseek

Model

DeepSeek V3.2 Speciale

Tool calling

Context window

164K

163,840 tokens · ~123K words

Model page
Mistral

Model

Mistral Large 4 Latest

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.

DeepSeek V3.2 Speciale164K
Mistral Large 4 Latest1.0M

Mistral Large 4 Latest has about 6.4× the context window of the other in this pair.

Token calculator →Memory savings →

Mistral Large 4 Latest has 540% more context capacity (1048K vs 163K tokens). DeepSeek V3.2 Speciale is 60% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Mistral Large 4 Latest. Its 1048K context fits entire documents without chunking (vs 163K).

  • RAG / high-volume retrieval

    Use DeepSeek V3.2 Speciale. Input tokens are 60% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Mistral Large 4 Latest. Its 1048K 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 V3.2 SpecialeMistral Large 4 Latest
Context window163,840 tokens (163K)1,048,576 tokens (1048K)
Max output tokens163,840 tokens (163K)1,048,576 tokens (1048K)
Speed tierBalancedDeep
VisionNoYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesNo
Batch APINoNo
Release dateDec 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 V3.2 Speciale inDeepSeek V3.2 Speciale outMistral Large 4 Latest inMistral Large 4 Latest out
Azure$0.580/M$1.68/M$0.700/M$2.10/M
Gmi$0.280/M$0.400/M——

Frequently asked questions

Mistral Large 4 Latest has a larger context window: 1048K 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.

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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