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Kimi K2.6

moonshotai·moonshotai/kimi-k2.6·Deprecated·Open weights·kimi-k2 series
Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

Kimi K2.6 by moonshotai is offered by 74 providers on this page. Public prices are shown for 68 of them. Its official list price is $0.95 per 1M input tokens and $4.00 per 1M output tokens. The lowest paid channel is DevPass (LLM Gateway) at $0.22 / $1.14 per 1M, about 8.1× below the list price. That channel is a third-party gateway, so confirm its availability and rate limits before depending on it. It also has 2 free ($0) channels and 3 covered by a paid subscription; free tiers usually carry rate limits, and subscription-covered access bills $0 per token only after the subscription fee.

Artificial Analysis rates it 45.1 on the Intelligence Index, with 61.8 for coding and 31.2 for agentic tasks. Against its lowest blended price of $0.449 per 1M, that is roughly 100 index points per dollar, which is the value ratio the leaderboards rank on. Median output speed is 33 tokens per second, with 2.86s to the first token. Running one task of the Artificial Analysis suite costs about $0.3886, which reflects how many tokens its reasoning consumes rather than the unit price alone.

The context window is 262,144 tokens at the reference host, but hosts report different limits, from 65,536 to 262,144, so the usable window depends on the provider you pick. It supports reasoning, tool use, and structured output. Accepted input modalities are Text, Image, Video, and PDF. The weights are open, so it can also be self-hosted or served through a gateway of your choice. Providers report the capability flags inconsistently, so verify a specific feature against the host you plan to use. Its training knowledge cuts off at 2025-01.

Specs & pricing

Input / output per 1M tokens
Official price·Moonshot AI (China)
$0.95 / $4.00
Blended $1.71 · Cache read $0.16
Lowest paid·DevPass (LLM Gateway)Gateway
$0.22 / $1.14
Blended $0.449 · 8.1× spread
5 more $0 channels
Context
262,144
Output limit
262,144
Knowledge cutoff
2025-01
Released / updated
2026-04-21 / 2026-04-21
Capabilities
✓ Reasoning✓ Tool use✓ Structured output✓ Temperature✓ Attachments
⚠ Providers report capability flags inconsistently
Modalities
TextImageVideoPDF

Quality & performanceArtificial Analysis · Intelligence Index v4.1

Intelligence45.1
Value100
Coding61.8
Agentic31.2
Output speed33 tok/s
TTFT2.86 s
Cost per task$0.3886
Value formulaIQ 45.1 ÷ min blended $0.449 = 100
Reasoning tier → intelligence / speed (higher tier = stronger but slower)
Non-reasoningIQ 35.4 · 38 tok/s
defaultIQ 45.1 · 33 tok/s

Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.

Available at 74 providers68 with public prices · 2 free · 3 subscription-covered

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
Alibaba Token PlanGatewaySubscription$0$0262,144262,144
Kenari
kimi-k2-6
GatewayFree——262,144262,144
NvidiaFirst-partyFree——262,144262,144deprecated
SCNet Token Plan
Kimi-K2.6
GatewaySubscription$0—262,144262,144
Alibaba Token Plan (China)GatewaySubscription$0$0262,144262,144
DevPass (LLM Gateway)Gateway$0.22$1.14$0.048—262,144262,144
LLM GatewayGateway$0.22$1.14$0.048—262,14498,304
routing.runGateway$0.275$1.10——200,000 ⚠32,000
Vultr
moonshotai/Kimi-K2.6
Cloud$0.30$1.20——262,144131,072
CrofAIGateway$0.50$1.99$0.05—262,144262,144
Moonshot AI (China)OfficialFirst-party$0.95$4.00$0.16—262,144262,144

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Your usage cost

1DevPass (LLM Gateway)$80.21
2LLM Gateway$80.21
3routing.run$110.00
4Vultr$120.00
5CrofAI$145.50
6NanoGPT$185.00
34Moonshot AI (China) · Official$295.20

5 more channels offer $0 (Alibaba Token Plan, Kenari, Nvidia etc.); free tiers usually have rate limits and no SLA, excluded from ranking.

Switch to DevPass (LLM Gateway) to save $214.99/mo (73%)
Note: this is a gateway; verify availability and rate limits yourself.

Benchmark5 items

NameConditionsScoreMetricSource
SWE-Bench Verified—80.2resolvedSource ↗
Artificial Analysis Coding Agent Indexharness: Claude Code50.5average pass@1Source ↗
SWE-Atlas Codebase QnAharness: Claude Code59.8pass@1Source ↗
SWE-Bench Proharness: Claude Code · dataset: hard-aa27.3pass@1Source ↗
Terminal-Benchharness: Claude Code · v2.164.3pass@1Source ↗

The same benchmark scores very differently across harness / dataset, so the qualifying conditions must be shown together.

Reasoning control

Toggle (on / off)budget_tokenseffort = noneeffort = minimaleffort = loweffort = mediumeffort = higheffort = xhigheffort = max

17 / 74 providers expose no reasoning control (reasoning_options: []).

Related models

Kimi K2.7 Codesame series$0.95 / $4.00Kimi K2.7 Code Highspeedsame series$1.90 / $8.00Kimi K2.7 Code (Free)same series$0 / $0DeepSeek V4 Flashcheaper alternative$0.14 / $0.28DeepSeek V4 Procheaper alternative$0.435 / $0.87GLM-5.3-Flashcheaper alternative$0.075 / $0.25DeepSeek V4 Flash 0731cheaper alternative$0.445 / $1.34

Price historyone sample accumulated per data sync

Input listOutput listMin blended
$4.00$02026-08-052026-08-132026-08-05 · Input list $0.952026-08-06 · Input list $0.952026-08-07 · Input list $0.952026-08-08 · Input list $0.952026-08-09 · Input list $0.952026-08-10 · Input list $0.952026-08-11 · Input list $0.952026-08-12 · Input list $0.952026-08-13 · Input list $0.952026-08-05 · Output list $4.002026-08-06 · Output list $4.002026-08-07 · Output list $4.002026-08-08 · Output list $4.002026-08-09 · Output list $4.002026-08-10 · Output list $4.002026-08-11 · Output list $4.002026-08-12 · Output list $4.002026-08-13 · Output list $4.002026-08-05 · Min blended $0.4492026-08-06 · Min blended $0.4492026-08-07 · Min blended $0.4492026-08-08 · Min blended $0.4492026-08-09 · Min blended $0.4492026-08-10 · Min blended $0.4492026-08-11 · Min blended $0.4492026-08-12 · Min blended $0.4492026-08-13 · Min blended $0.449
Data partly from models.dev (MIT) · Moonshot AI (China) official docs ↗