Context Window

Compare

Codestral 2405 vs Deepseek V3 2 251201

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.

Mistral

Model

Codestral 2405

Context window

32K

32,000 tokens · ~24K words

Model page
Deepseek

Model

Deepseek V3 2 251201

Tool calling

Context window

98K

98,304 tokens · ~74K 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.

Codestral 240532K
Deepseek V3 2 25120198K

Deepseek V3 2 251201 has about 3.1× the context window of the other in this pair.

Token calculator →Memory savings →

Deepseek V3 2 251201 has 207% more context capacity (98K vs 32K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Deepseek V3 2 251201. Its 98K context fits entire documents without chunking (vs 32K).

  • Long output (reports, code files)

    Use Deepseek V3 2 251201. Its 32K 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.

SpecCodestral 2405Deepseek V3 2 251201
Context window32,000 tokens (32K)98,304 tokens (98K)
Max output tokens8,191 tokens (8K)32,768 tokens (32K)
Speed tierBalancedBalanced
VisionNoNo
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoNo
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.

ProviderCodestral 2405 inCodestral 2405 outDeepseek V3 2 251201 inDeepseek V3 2 251201 out
Google Vertex$0.200/M$0.600/M——
Mistral————
Volcengine————

Frequently asked questions

Deepseek V3 2 251201 has a larger context window: 98K tokens vs 32K. 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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Without Mem0~128K tokens sent
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