Context Window

Compare

Deep Research Preview 04 2026 vs Mistral Medium 3.1 (batch)

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
Mistral

Model

Mistral Medium 3.1 (batch)

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.

Deep Research Preview 04 2026131K
Mistral Medium 3.1 (batch)131K

Same context window size for both models.

Token calculator →Memory savings →

Deep Research Preview 04 2026 and Mistral Medium 3.1 (batch) have identical context windows (131K tokens). Mistral Medium 3.1 (batch) is 90% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • RAG / high-volume retrieval

    Use Mistral Medium 3.1 (batch). Input tokens are 90% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Mistral Medium 3.1 (batch). Its 104K 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 2026Mistral Medium 3.1 (batch)
Context window131,072 tokens (131K)131,072 tokens (131K)
Max output tokens65,536 tokens (65K)104,857 tokens (104K)
Speed tierBalancedBalanced
VisionYesYes
Function callingNoYes
Extended thinkingNoNo
Prompt cachingNoYes
Batch APINoNo
Release dateN/AAug 2025

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 outMistral Medium 3.1 (batch) inMistral Medium 3.1 (batch) out
Google$2.00/M$12.00/M——
Openrouter——$0.200/M$1.00/M

Frequently asked questions

Mistral Medium 3.1 (batch) has a larger context window: 131K 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.

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