Comparing 2 models

Kimi K3 vs Qwen3.8 27B

Benchmarks through

Verdict

Qwen3.8 27B places higher on 6 of the 9 tasks where both are ranked. Qwen3.8 27B costs 6.0x less per input token. Kimi K3 accepts 1.0x more context.

  • Choose Kimi K3 for Local LLM for Coding (#1), Structured Data Extraction (#3), JSON & Schema Output (#3).
  • Choose Qwen3.8 27B for Open-Weight LLM for Self-Hosting (#1), Value LLM (#1), Cheapest Capable LLM (#1).

Built from the published task rankings below; ranks come from each task's own weighted benchmarks, so a win on one task says nothing about another.

metric
Model 1Kimi K3
Model 2Qwen3.8 27B
Best for
Best Local LLM for Coding (#1)
Best Cheap LLM for High Volume (#1)
Provider
moonshotai
qwen
Context
1.0MBest
1M
Input / 1M
$0.24
$0.040Best
Output / 1M
$11.94
$1.35Best
Tool use
yesBest
yesBest
Vision
yesBest
yesBest
Reasoning
yesBest
yesBest
Open-weight
yesBest
yesBest
Released
Jul 16, 2026
Aug 14, 2026

Measured head to head

Benchmarks both models were run on

EvaluationKimi K3Qwen3.8 27BSource
LiveBench Agentic Coding62.2%61.4%source · 2026-10-18
LiveBench Coding81.5%75.7%source · 2026-10-18
LiveBench Data Analysis78.7%76.6%source · 2026-10-18
LiveBench Instruction Following71.4%72.7%source · 2026-10-18
LiveBench Language85.5%74.3%source · 2026-10-18
LiveBench Math84.4%86.2%source · 2026-10-18
LiveBench Reasoning90.7%80.0%source · 2026-10-18
LMArena Agent1.8-3.8source · 2026-10-20
LMArena Agent Steerability0.4-3.9source · 2026-10-20
LMArena Agent Task Outcome6.3-1.5source · 2026-10-20
LMArena Agent Tool Hallucination0.7-0.1source · 2026-10-20
LMArena Creative Writing1457 Elo1383 Elosource · 2026-10-20
LMArena Instruction Following1485 Elo1436 Elosource · 2026-10-20
LMArena Long Query1494 Elo1448 Elosource · 2026-10-20
LMArena Math1494 Elo1455 Elosource · 2026-10-20
LMArena Text1488 Elo1437 Elosource · 2026-10-20
LMArena Text Factuality1472 Elo1437 Elosource · 2026-10-20
LMArena WebDev1655 Elo1593 Elosource · 2026-10-19
LMArena WebDev Image-to-Web1579 Elo1577 Elosource · 2026-10-19

Values are as published by each evaluator, in its own units; rows from different evaluators are not on a common scale.