Context Window

Compare

Minimax Minimax M2 1 vs Phi 3 Vision 128k

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.

Minimax

Model

Minimax Minimax M2 1

Tool calling

Context window

196K

196,000 tokens · ~147K words

Model page
Microsoft

Model

Phi 3 Vision 128k

Context window

32K

32,064 tokens · ~24K 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.

Minimax Minimax M2 1196K
Phi 3 Vision 128k32K

Minimax Minimax M2 1 has about 6.1× the context window of the other in this pair.

Token calculator →Memory savings →

Minimax Minimax M2 1 has 511% more context capacity (196K vs 32K tokens). Phi 3 Vision 128k is 44% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Minimax Minimax M2 1. Its 196K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use Phi 3 Vision 128k. Input tokens are 44% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Phi 3 Vision 128k. 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.

SpecMinimax Minimax M2 1Phi 3 Vision 128k
Context window196,000 tokens (196K)32,064 tokens (32K)
Max output tokens8,192 tokens (8K)32,064 tokens (32K)
Speed tierFastBalanced
VisionNoNo
Function callingYesNo
Extended thinkingNoNo
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.

ProviderMinimax Minimax M2 1 inMinimax Minimax M2 1 outPhi 3 Vision 128k inPhi 3 Vision 128k out
Aws Bedrock$0.360/M$1.44/M——
Fireworks——$0.200/M$0.200/M

Frequently asked questions

Minimax Minimax M2 1 has a larger context window: 196K 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.

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