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Fw Minimax M3 vs Openai Gpt 5 6 Sol

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

Fw Minimax M3

Image inputTool calling

Context window

512K

512,000 tokens · ~384K words

Model page
Openai

Model

Openai Gpt 5 6 Sol

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K 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.

Fw Minimax M3512K
Openai Gpt 5 6 Sol1M

Openai Gpt 5 6 Sol has about 2× the context window of the other in this pair.

Openai Gpt 5 6 Sol has 95% more context capacity (1000K vs 512K tokens). Fw Minimax M3 is 94% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Openai Gpt 5 6 Sol. Its 1000K context fits entire documents without chunking (vs 512K).

  • RAG / high-volume retrieval

    Use Fw Minimax M3. Input tokens are 94% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Fw Minimax M3. Its 512K 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.

SpecFw Minimax M3Openai Gpt 5 6 Sol
Context window512,000 tokens (512K)1,000,000 tokens (1000K)
Max output tokens512,000 tokens (512K)128,000 tokens (128K)
Speed tierFastBalanced
VisionYesYes
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesYes
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.

ProviderFw Minimax M3 inFw Minimax M3 outOpenai Gpt 5 6 Sol inOpenai Gpt 5 6 Sol out
Aws Bedrock$5.50/M$33.00/M
Azure$0.330/M$1.32/M

Frequently asked questions

Openai Gpt 5 6 Sol has a larger context window: 1000K tokens vs 512K. 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.

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