MiniMax

MiniMax: MiniMax M3

minimax/minimax-m3

MiniMax-M3 is a multimodal foundation model from MiniMax.

  • Context window: 1,048,576 tokens
  • Input: text, image, video
  • Output: text
  • Pricing: $0.3/M input tokens, $1.2/M output tokens

Community sentiment

Positive (+68) — 10 positive, 0 negative, 5 neutral across 15 community samples from X and the web, as of 2026-09-03.

Discussion centers on MiniMax M3’s performance and value: users praise its speed, large context window and coding/agent capabilities (including low hallucination rates and effective caching), and many highlight its favorable cost/access options. A minority ask about lineage, language/data coverage, or note limits for some use cases.

  • “@jumperz GPT Sol 5.6 is really good at this. Minimax M3 with Roo Code harness in architect mode is also exceptional at this. I would say Minimax M3 + Roo Code is the most comprehensive even with you having to ask.” — X
  • “MiniMax-M3 on https://t.co/WM61uG5MDJ: → 512K context → SOTA coding + agent tool use → $0.313/M input, $1.252/M output GPT-4o: $2.50/M. MiniMax-M3: $0.31/M. Save 87%. Same OpenAI SDK. #MiniMax #AI #Coding https://t.co/oBRUMnt0AS” — X
  • “@bridgemindai Minimax M3 with no hallucinations damn 🏅” — X
  • “am I crazy or Minimax M3 caching is really working well” — X

RuntimeWire coverage

View on OpenRouter. Model data sourced from OpenRouter.