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Pyyan / Compare / Kimi K3 vs DeepSeek V4-Pro vs Qwen3-235B-A22B vs Llama 5

Kimi K3 vs DeepSeek V4-Pro vs Qwen3-235B-A22B vs Llama 5

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Open-Weight Models · verified 13 Aug 2026

×Kimi K3Moonshot AIcurrent
×DeepSeek V4-ProDeepSeekcurrent
×Qwen3-235B-A22BAlibabacurrent
×Llama 5Metacurrent
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SpecificationKimi K3DeepSeek V4-ProQwen3-235B-A22BLlama 5
SummaryLargest open-weight model shipped.Best all-round open model of 2026.Cheapest capable model, most permissive licence.Open-weight flagship with recursive self-improvement.
LicenceOpen weightsMITApache-2.0Llama licence
Parameters2.8T—235B MoE600B+
Released17 Jul 2026———
CategoryOpen-Weight ModelsOpen-Weight ModelsOpen-Weight ModelsOpen-Weight Models
OfficialMoonshot AI ↗DeepSeek ↗Alibaba ↗Meta ↗

Highlighted rows are where these differ.

Kimi K3

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

Best for coding.

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 →

Qwen3-235B-A22B

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

Best for commercial self-hosting.

Full spec sheet →

Llama 5

  • Refines its own reasoning and generates synthetic training data

Best for open frontier.

Full spec sheet →