Context Window

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GPT-4o-mini Search Preview vs Mamba Codestral 7b V0 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.

Openai

Model

GPT-4o-mini Search Preview

Image inputTool calling

Context window

128K

128,000 tokens · ~96K words

Model page
Mistral

Model

Mamba Codestral 7b V0 1

Context window

256K

256,000 tokens · ~192K 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.

GPT-4o-mini Search Preview128K
Mamba Codestral 7b V0 1256K

Mamba Codestral 7b V0 1 has about 2× the context window of the other in this pair.

Token calculator →Memory savings →

Mamba Codestral 7b V0 1 has 100% more context capacity (256K vs 128K tokens). GPT-4o-mini Search Preview is 21% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Mamba Codestral 7b V0 1. Its 256K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use GPT-4o-mini Search Preview. Input tokens are 21% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Mamba Codestral 7b V0 1. Its 256K 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.

SpecGPT-4o-mini Search PreviewMamba Codestral 7b V0 1
Context window128,000 tokens (128K)256,000 tokens (256K)
Max output tokens16,384 tokens (16K)256,000 tokens (256K)
Speed tierFastFast
VisionYesNo
Function callingYesNo
Extended thinkingNoNo
Prompt cachingYesNo
Batch APIYesNo
Release dateMar 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.

ProviderGPT-4o-mini Search Preview inGPT-4o-mini Search Preview outMamba Codestral 7b V0 1 inMamba Codestral 7b V0 1 out
Openai$0.150/M$0.600/M——
Ovhcloud——$0.190/M$0.190/M

Frequently asked questions

Mamba Codestral 7b V0 1 has a larger context window: 256K tokens vs 128K. 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