Context Window

Compare

Deepseek V3 2 251201 vs Mistral Medium 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 251201

Tool calling

Context window

98K

98,304 tokens · ~74K words

Model page
Mistral

Model

Mistral Medium Latest

Image inputTool calling

Context window

131K

131,072 tokens · ~98K 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 25120198K
Mistral Medium Latest131K

Mistral Medium Latest has about 1.3× the context window of the other in this pair.

Token calculator →Memory savings →

Mistral Medium Latest has 33% more context capacity (131K vs 98K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Mistral Medium Latest. Its 131K context fits entire documents without chunking (vs 98K).

  • Long output (reports, code files)

    Use Mistral Medium Latest. Its 131K 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 251201Mistral Medium Latest
Context window98,304 tokens (98K)131,072 tokens (131K)
Max output tokens32,768 tokens (32K)131,072 tokens (131K)
Speed tierBalancedBalanced
VisionNoYes
Function callingYesYes
Extended thinkingYesNo
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.

ProviderDeepseek V3 2 251201 inDeepseek V3 2 251201 outMistral Medium Latest inMistral Medium Latest out
Mistral——$0.400/M$2.00/M
Volcengine————

Frequently asked questions

Mistral Medium Latest has a larger context window: 131K tokens vs 98K. 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