Context Window

Compare

Ministral 8b Latest vs Openai Gpt 4 1

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

Ministral 8b Latest

Image inputTool calling

Context window

262K

262,144 tokens · ~197K words

Model page
Openai

Model

Openai Gpt 4 1

Image inputTool calling

Context window

300K

300,000 tokens · ~225K 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.

Ministral 8b Latest262K
Openai Gpt 4 1300K

Openai Gpt 4 1 has about 1.1× the context window of the other in this pair.

Token calculator →Memory savings →

Openai Gpt 4 1 has 14% more context capacity (300K vs 262K tokens). Ministral 8b Latest is 92% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Openai Gpt 4 1. Its 300K context fits entire documents without chunking (vs 262K).

  • RAG / high-volume retrieval

    Use Ministral 8b Latest. Input tokens are 92% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Ministral 8b Latest. Its 262K 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.

SpecMinistral 8b LatestOpenai Gpt 4 1
Context window262,144 tokens (262K)300,000 tokens (300K)
Max output tokens262,144 tokens (262K)16,384 tokens (16K)
Speed tierFastBalanced
VisionYesYes
Function callingYesYes
Extended thinkingNoNo
Prompt cachingNoYes
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.

ProviderMinistral 8b Latest inMinistral 8b Latest outOpenai Gpt 4 1 inOpenai Gpt 4 1 out
Mistral$0.150/M$0.150/M——
Snowflake——$2.00/M$8.00/M

Frequently asked questions

Openai Gpt 4 1 has a larger context window: 300K tokens vs 262K. 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