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Model

Kimi K2.6 NO.39

Open-weight agentic powerhouse with long context and video input.

CompareBack to the index

Moonshot AI · Kimi · Open · Open weights

Specification

Fig.01 — Kimi — Moonshot AI

CHINA

Context window
262Ktokens
Max output
66Ktokens
Input price
$0.95/ 1M
Output price
$4/ 1M
Cached input
$0.16/ 1M
Throughput
—
Class
Open
Modalities
Text, Image, Video
Weights
Open
Parameters
1000B
License
Modified MIT
Knowledge cutoff
Jan 2026
Released
Apr 2026

Overview

Moonshot's Kimi K2.6 is a 1T-parameter open-weight MoE (32B active, Modified MIT) built for agentic coding and long-horizon autonomous work, adding native video input and an agent-swarm system over K2.5. It ties GPT-5.5 on SWE-bench-class coding at roughly 80% lower cost, with a 262K context. It is among the strongest open challengers, though real-world reliability still trails the Claude/GPT frontier.

Strengths

  • Top-tier open agentic and coding benchmarks
  • 262K context for large repositories
  • Native multimodal input including video
  • Roughly 80% cheaper than frontier closed models
  • Modified MIT open weights

Trade-offs

  • Long-horizon reliability below Claude/GPT
  • Large 1T MoE — latency and serving cost
  • Agent-swarm claims outpace consistent results
  • Multilingual weaker outside English/Chinese

Fit

Best for

  • Agentic coding within a supervised loop
  • Long-context repo understanding
  • Multimodal (image/video) analysis
  • Cost-efficient autonomous workflows
  • Self-hosted agent stacks

Not ideal for

  • Unsupervised mission-critical agentic coding
  • Ultra-low-latency needs

Capabilities

Ten axes, normalized 0–100 and scored the same way across the whole catalog — so a 78 here means what a 78 means anywhere else on the bench.

Fig.02 — Capability radar

0 — 100

Reasoning
84
Coding
76
Math
86
Writing
82
Knowledge
84
Speed
55
Agentic
76
Vision
60
Multilingual
80
Long Context
84

Benchmarks

Public results, with independent third-party runs marked. Bars normalize percentages against 100 and Elo ratings against a 1500 ceiling.

Independent index

Artificial Analysis Intelligence Index

Composite of ~9–10 independent evals · Artificial Analysis

43/ 100

BenchmarkResult
Artificial Analysis Intelligence IndexIndependentGeneral · Artificial Analysis
43%
SWE-bench VerifiedIndependentCoding · SWE-bench
80.2%
SWE-bench ProIndependentCoding · SWE-bench Pro
58.6%
GPQA DiamondIndependentReasoning · Independent aggregators
90.5%
LiveBenchIndependentGeneral · LiveBench
72.2%
DeepSWEIndependentCoding · Datacurve
24%
LMArena EloIndependentGeneral · LMArena
1466Elo

Alternatives

Models in roughly the same class — the ones worth weighing against this record.

Compare side by side
01GLM-5.2Zhipu AIOpen-weight coding flagship at a fraction of frontier cost.02MiniMax M3MiniMaxOpen-weight multimodal model with native video input and 1M context.03Kimi K2 ThinkingMoonshot AIDeep-reasoning open variant of Kimi K2 for hard problems.

Index

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