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Kimi

Open-weights multimodal LLM with agent swarms

API
Jack Phillips
Audited by Jack Phillips · Updated May 2026
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Overall score

3.3/ 5
SME fit5/5
flat pricing + freemium
JTBD3/5
moderate JTBD clarity
Integration3/5
API
Trust4/5
mature, founded 2023
Quality1/5
no public rating
Compliance2/5
compliance unknown

About

Kimi is Moonshot AI's family of multimodal LLM models. K2.6 (April 2026) is the latest, a 1T-parameter / 32B-active MoE architecture with a 256K-token context window and native agent-swarm orchestration. Available as consumer chat at kimi.com, API at platform.moonshot.ai, and open weights under a modified MIT license.

Best for: Builders who want an open-weights multimodal LLM with native agent-swarm orchestration, plus consumer chat and API access at competitive token rates.

Pricing

  • Adagio

    Monthly
    Free
    Annual /mo
    Free
    Billing
    flat
    Notes
    6 agent uses;1 concurrent task;200 professional data requests;Basic tools (Word, Excel, Slides) · Free tier
  • Moderato

    Monthly
    $19
    Annual /mo
    n/a
    Billing
    flat
    Notes
    K2.6 in chat + agent tasks;Deep Research;Kimi Code 1x;60 agent uses;2 concurrent tasks;2,000 data requests
  • Allegretto

    Monthly
    $39
    Annual /mo
    n/a
    Billing
    flat
    Notes
    Everything in Moderato;Agent Swarm 50 uses;5x Kimi Code credits;Kimi Claw cloud deployment;5,000 data requests
  • Allegro

    Monthly
    $99
    Annual /mo
    n/a
    Billing
    flat
    Notes
    Agent Swarm 120 uses with 4 subagents;15x Kimi Code credits;12,000 data requests
  • Vivace

    Monthly
    $199
    Annual /mo
    n/a
    Billing
    flat
    Notes
    Agent Swarm 240 uses with 8 subagents;30x Kimi Code credits;24,000 data requests
  • API pay-as-you-go

    Monthly
    n/a
    Annual /mo
    n/a
    Billing
    usage_based
    Notes
    K2.6: $0.95/M input + $4/M output;K2.5: $0.60/M input + $3/M output;K2 0905: $0.60/M input + $2.50/M output;Cache-hit pricing $0.10-$0.16/M · Separate from membership; billed per token through platform.moonshot.ai or OpenRouter / DeepInfra.

Key features

  • 1T-parameter / 32B-active MoE architecture (K2.6)
  • 256K-token context window
  • Native multimodal (vision + text)
  • Agent swarm coordinates up to 300 sub-agents in one run
  • Open weights under modified MIT license
  • Long-horizon coding and Kimi Code IDE

Integrations

OpenRouterDeepInfraHugging Face

Trust & compliance

Stage range
Solopreneur → Growth
Founded
2023
Status
active
SOC 2
unknown
GDPR
unknown
Data residency
unknown
External rating
n/a
Last verified
May 2026

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