Monday, October 26, 2026 · Edition updated 6:00 AM ETMON, OCT 26 editionNext edition in Next in --:--:--
Intelligence Verdict
Compare AI models

MiniMax-M3 vs Qwen3.8-Max

MiniMax's MiniMax-M3 and Alibaba (Qwen)'s Qwen3.8-Max, side by side: what each costs, how much it can read at once, whether you can run it yourself, and where independent tests place it.

  • MiniMax-M3cheaper per output token
  • 1Mcontext window, both
  • 0–1higher placings on boards ranking both
In short

How they differ.

Worked out from the figures below. Prices and specs are the makers' own, read Oct 20, 2026.

  • MiniMax-M3 is cheaper per output token: $1.20 against $6 per million tokens, so Qwen3.8-Max costs 5 times as much.
  • MiniMax-M3 can be downloaded and run on your own machine; Qwen3.8-Max can't.
  • On the 1 independent board that rank both, Qwen3.8-Max places higher on 1 and MiniMax-M3 on 0.
Side by side

The specs.

MiniMax-M3Qwen3.8-Max
Made byMiniMax · ChinaAlibaba (Qwen) · China
ReleasedNot statedSep 2, 2026
Price per 1M tokens$0.30 in / $1.20 out$2 in / $6 out
Context window1M1M
Takes intexttext, image, video
Download and run it yourselfYes (minimax-community (license tag shown on Hugging Face))No
Size~428B parameters, ~23B active2.4T (MoE) parameters, 95B active
Maker says“MiniMax-M3 is a native multimodal model with 1M context.”“A 2.4-trillion-parameter MoE flagship with a major leap in coding and office productivity”
SourcesPrices, Oct 20, 2026 · DescriptionPrices, Oct 11, 2026 · Description
Independent tests

Where they place.

Position on each board we follow (1 is best). Epoch AI's and Vectara's scores are shown; the other boards are linked for their own figures.

BoardMiniMax-M3Qwen3.8-Max
Epoch Capabilities IndexEpoch AI, Oct 20, 2026Not listed#20156.88
LMArena creative writingLMArena, Oct 15, 2026Not listed#19
LMArena WebDevLMArena, Oct 19, 2026Not listed#11
LMArena mathLMArena, Oct 15, 2026Not listed#18
LMArena visionLMArena, Oct 19, 2026Not listed#2
Terminal-Bench 4.0Vals AI, Oct 19, 2026Not listed#16
GPQA Diamond (run by Vals AI, archived)Vals AI, Sep 1, 2026#15#6
MMMU Pro (run by Vals AI, archived)Vals AI, Sep 1, 2026Not listed#12