Skip to contentT/TTokens or Towers

Compare

LeaderboardEvery tracked model, ranked and priced side by sideBenchmarksWhat each test measures and who leads itPricesAPI, media, and hardware rates with a cost calculator

Plan

Stack plannerSix questions to a priced local and hosted stackShortlistOur picks for subscriptions, APIs, and hardwareEnterpriseSeat plans against self-hosting for a whole team

Build

HardwareGPUs and workstations, and which models they fitHostsWhere to rent open-weight inference, and for how muchHarnessesCoding agents and the models they drive

Lab

FindingsResults from our own evaluationsScanAudit a repo’s AI usage in the browserMethodWhere the numbers come from and how we check them
Data checked September 25, 2026
Data checked September 25, 2026
Plan a stack
T/TTokens or Towers

An independent guide to AI models, what they cost, and the hardware to run them. No account, no API key, no sponsors.

Compare

  • Leaderboard
  • Benchmarks
  • Prices

Plan

  • Stack planner
  • Shortlist
  • Enterprise

Build

  • Hardware
  • Hosts
  • Harnesses

Lab

  • Findings
  • Scan
  • Method
Data checked September 25, 2026 · Every number links to its sourceRSS · Source on GitHub
Leaderboard/Moonshot AI
Moonshot AI

Moonshot AI · Kimi K2

Kimi K2.6

Open weightsSupersededModified MIT

Previous general Kimi K2 model, still sold at the same price as K2.7 Code.

AA Intelligence
27#46 of 142
Input / output per 1M
$0.95/ $4.00
Output speed
52tok/s
Context window
262K tokens

Composite indexes

  • Artificial Analysis Intelligence Index#46 of 142
    27independentv4.3.2, reasoningArtificial Analysis: Kimi K2.6 ↗

    Leader: Claude Opus 5.5 at 58

Coding

  • Terminal-Bench 4.0#52 of 88
    0.5%independentreasoning, AA-runArtificial Analysis: Kimi K2.6 ↗

    Leader: Claude Mythos 5.1 at 60.9%

  • Terminal-Bench 2.x#40 of 103
    65.9%independentTerminal-Bench 2.1, reasoning, AA-runArtificial Analysis: Kimi K2.6 ↗

    Leader: Claude Fable 5.1 at 91.4%

  • SciCode#34 of 94
    51.5%independentreasoning, AA-runArtificial Analysis: Kimi K2.6 ↗

    Leader: Claude Opus 5.5 at 66.9%

Agents and tool use

  • τ²-Bench#6 of 88
    95.9%independenttelecom, reasoning, AA-runArtificial Analysis: Kimi K2.6 ↗

    Leader: GLM-5.2 at 99.1%

  • GDPval-AA#50 of 103
    1026independentGDPval-AA v2.1, reasoningArtificial Analysis: Kimi K2.6 ↗

    Leader: Claude Opus 5.5 at 1846

Reasoning and knowledge

  • GPQA Diamond#33 of 142
    91.1%independentreasoning, AA-runArtificial Analysis: Kimi K2.6 ↗

    Leader: GPT-6 Astra at 96.1%

  • Humanity’s Last Exam#43 of 147
    37.5%independentreasoning, no tools, AA-runArtificial Analysis: Kimi K2.6 ↗

    Leader: Claude Opus 5.5 at 61.4%

  • CritPt#47 of 139
    8%independentreasoning, AA-runArtificial Analysis: Kimi K2.6 ↗

    Leader: GPT-5.6 Sol at 32.3%

Vision and long context

  • AA Long Context Reasoning#24 of 139
    81%independentreasoning, AA-LCRArtificial Analysis: Kimi K2.6 ↗

    Leader: Kimi K3 at 88.7%

  • MMMU-Pro#19 of 72
    79.4%independentreasoning, AA-runArtificial Analysis: Kimi K2.6 ↗

    Leader: Claude Opus 5.5 at 87.7%

Human preference

  • LMArena Text#26 of 54
    1460independentarena entry "kimi-k2.6", 37,502 votes, checked 2026-09-25Arena (LMArena) text leaderboard ↗

    Leader: Claude Fable 5 at 1506

  • LMArena WebDev#36 of 54
    1509independentarena entry "kimi-k2.6", 9,587 votes, checked 2026-09-25Arena (LMArena) WebDev/Code leaderboard ↗

    Leader: Claude Opus 5.5 at 1818

Other published results

ResultScoreReported bySource
IFBench (AA) · reasoning76%independentArtificial Analysis: Kimi K2.6 ↗
Terminal-Bench Hard (AA) · reasoning43.9%independentArtificial Analysis: Kimi K2.6 ↗

Specs

Released
April 20, 2026
Parameters
1T total, 32B active
Size class
1 to 2T
Input
text, image
Output
text
Context
262K tokens
Max output
Not published
Cached input
$0.16 / 1M
Blended 70/30
$1.865 / 1M
First token
2.84s
  • Price: Kimi API pricing (chat models) ↗ Cache-miss input rate; still on the official price list.
  • Speed: Artificial Analysis: Kimi K2.6 ↗

Will it fit your budget?

The planner prices this model against local hardware and other APIs for your workload.

Plan a stack →

Compare with

  • xAIGrok Build 0.127.2
  • China MobileJT-4.1 Flash 236B A21B27.3
  • Multiverse ComputingQuasar 438B26.7
  • AApodex 1.126.4