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Pyyan / Compare / MiniMax M3 vs DeepSeek V4-Pro vs Kimi K3 vs Qwen3-235B-A22B

MiniMax M3 vs DeepSeek V4-Pro vs Kimi K3 vs Qwen3-235B-A22B

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Open-Weight Models · verified 13 Aug 2026

×MiniMax M3MiniMaxcurrent
×DeepSeek V4-ProDeepSeekcurrent
×Kimi K3Moonshot AIcurrent
×Qwen3-235B-A22BAlibabacurrent
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SpecificationMiniMax M3DeepSeek V4-ProKimi K3Qwen3-235B-A22B
SummaryOpen weights, long-context and multimodal.Best all-round open model of 2026.Largest open-weight model shipped.Cheapest capable model, most permissive licence.
LicenceOpen weightsMITOpen weightsApache-2.0
Parameters——2.8T235B MoE
Released1 Jun 2026—17 Jul 2026—
CategoryOpen-Weight ModelsOpen-Weight ModelsOpen-Weight ModelsOpen-Weight Models
OfficialMiniMax ↗DeepSeek ↗Moonshot AI ↗Alibaba ↗

Highlighted rows are where these differ.

MiniMax M3

Open weights, long-context and multimodal.

Best for long context.

Full spec sheet →

DeepSeek V4-Pro

  • Tops open leaderboards on agentic coding and reasoning
  • MIT licence — no conditions
  • Pioneered aggressive cache-hit pricing at ~$0.07/M

Best for everything open.

Full spec sheet →

Kimi K3

  • Tops the Frontend Code Arena
  • 76.8% on SWE-Bench Verified

Best for coding.

Full spec sheet →

Qwen3-235B-A22B

  • No licence conditions whatsoever
  • 22B active of 235B total

Best for commercial self-hosting.

Full spec sheet →