Moonshot AI model product
6 is an open-source native multimodal agentic model from Moonshot AI for coding, long-horizon execution, and coordinated agent tasks.
Updated Oct 23, 2026. Default version: Kimi K2.6
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Kimi K2.6.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkClaw-Eval | Score80.90% | Rank01 | Participants14 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkOJBench | Score60.60% | Rank01 | Participants9 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkV* | Score96.90% | Rank01 | Participants7 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMCP-Mark | Score55.90% | Rank04 | Participants9 | Percentile62.50% | EvidenceC | Evaluated |
| BenchmarkWideSearch | Score80.80% | Rank04 | Participants15 | Percentile78.57% | EvidenceC | Evaluated |
| BenchmarkAIME 2026 | Score96.40% | Rank05 | Participants27 | Percentile84.62% | EvidenceC | Evaluated |
| BenchmarkHMMT Feb 26 | Score92.70% | Rank05 | Participants13 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench v6 | Score89.60% | Rank06 | Participants67 | Percentile92.42% | EvidenceC | Evaluated |
| BenchmarkMathVision | Score93.20% | Rank06 | Participants38 | Percentile86.49% | EvidenceC | Evaluated |
| BenchmarkIMO-AnswerBench | Score86.00% | Rank07 | Participants22 | Percentile71.43% | EvidenceC | Evaluated |
| BenchmarkSciCode | Score52.20% | Rank07 | Participants31 | Percentile80.00% | EvidenceC | Evaluated |
| BenchmarkDeepSearchQA | Score83.00% | Rank08 | Participants13 | Percentile41.67% | EvidenceC | Evaluated |
| BenchmarkAPEX-Agents | Score27.90% | Rank09 | Participants11 | Percentile20.00% | EvidenceC | Evaluated |
| BenchmarkBrowseComp | Score86.30% | Rank09 | Participants70 | Percentile88.41% | EvidenceC | Evaluated |
| BenchmarkBabyVision | Score68.50% | Rank10 | Participants16 | Percentile40.00% | EvidenceC | Evaluated |
| BenchmarkCharXiv-R | Score86.70% | Rank13 | Participants60 | Percentile79.66% | EvidenceC | Evaluated |
| BenchmarkFinance Agent v2 | Score44.87% | Rank14 | Participants29 | Percentile53.57% | EvidenceB | Evaluated |
| BenchmarkSWE-bench Multilingual | Score76.70% | Rank14 | Participants50 | Percentile73.47% | EvidenceC | Evaluated |
| BenchmarkAA IFBench | Score75.99% | Rank14 | Participants168 | Percentile92.22% | EvidenceB | EvaluatedN/A |
| BenchmarkFrontierSWE | Score27.00% | Rank15 | Participants17 | Percentile12.50% | EvidenceB | Evaluated |
| BenchmarkMMMU-Pro | Score80.10% | Rank15 | Participants73 | Percentile80.56% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Verified | Score80.20% | Rank15 | Participants120 | Percentile88.24% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench 2.0 | Score66.70% | Rank15 | Participants53 | Percentile73.08% | EvidenceC | Evaluated |
| BenchmarkOSWorld-Verified | Score73.10% | Rank18 | Participants28 | Percentile37.04% | EvidenceC | Evaluated |
| BenchmarkAA LCR v1.1 | Score81.00% | Rank21 | Participants193 | Percentile89.58% | EvidenceB | EvaluatedN/A |
| BenchmarkToolathlon | Score50.00% | Rank22 | Participants42 | Percentile48.78% | EvidenceC | Evaluated |
| BenchmarkLM Arena Document | Score1,450.74 rating | Rank22 | Participants38 | Percentile43.24% | EvidenceA | Evaluated |
| BenchmarkGPQA | Score90.50% | Rank25 | Participants256 | Percentile90.59% | EvidenceC | Evaluated |
| BenchmarkLiveBench | Score72.17% | Rank25 | Participants38 | Percentile35.14% | EvidenceB | Evaluated |
| BenchmarkLM Arena Vision | Score1,282.11 rating | Rank26 | Participants113 | Percentile77.68% | EvidenceA | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext factuality | Categoryjapanese | Rank16 | Rating / score1,441.43 | Votes392 | ObservationsN/A | Result date |
| Arenavision | Categorychinese | Rank20 | Rating / score1,345.98 | Votes1,027 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry mathematical | Rank21 | Rating / score1,475.46 | Votes1,827 | ObservationsN/A | Result date |
| Arenavision style control | Categorychinese | Rank21 | Rating / score1,325.68 | Votes1,027 | ObservationsN/A | Result date |
| Arenadocument | Categoryoverall | Rank22 | Rating / score1,450.74 | Votes11,291 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryfrench | Rank22 | Rating / score1,490.02 | Votes1,280 | ObservationsN/A | Result date |
| Arenavision | Categoryhumor | Rank23 | Rating / score1,279.95 | Votes590 | ObservationsN/A | Result date |
| Arenatext factuality | Categorychinese | Rank24 | Rating / score1,517.56 | Votes1,938 | ObservationsN/A | Result date |
| Arenavision | Categoryhomework | Rank24 | Rating / score1,309.73 | Votes2,263 | ObservationsN/A | Result date |
| Arenatext | Categorychinese | Rank25 | Rating / score1,520.42 | Votes2,322 | ObservationsN/A | Result date |
| Arenavision | Categorycreative writing vision | Rank25 | Rating / score1,273.20 | Votes916 | ObservationsN/A | Result date |
| Arenavision | Categoryenglish | Rank25 | Rating / score1,286.86 | Votes6,756 | ObservationsN/A | Result date |
| Arenatext factuality | Categorymath | Rank26 | Rating / score1,472.24 | Votes1,779 | ObservationsN/A | Result date |
| Arenavision | Categorydiagram | Rank26 | Rating / score1,298.10 | Votes4,304 | ObservationsN/A | Result date |
| Arenavision | Categoryocr | Rank26 | Rating / score1,291.09 | Votes11,758 | ObservationsN/A | Result date |
| Arenavision | Categoryoverall | Rank26 | Rating / score1,282.11 | Votes16,368 | ObservationsN/A | Result date |
| Arenavision style control | Categoryhomework | Rank26 | Rating / score1,302.30 | Votes2,263 | ObservationsN/A | Result date |
| Arenadocument style control | Categoryoverall | Rank27 | Rating / score1,449.80 | Votes11,291 | ObservationsN/A | Result date |
| Arenatext | Categoryexpert | Rank27 | Rating / score1,490.67 | Votes3,848 | ObservationsN/A | Result date |
| Arenavision style control | Categoryhumor | Rank27 | Rating / score1,260.56 | Votes590 | ObservationsN/A | Result date |
| Arenawebdev | Categoryimage to webdev | Rank27 | Rating / score1,520.86 | Votes3,591 | ObservationsN/A | Result date |
| Arenatext | Categoryjapanese | Rank28 | Rating / score1,442.78 | Votes500 | ObservationsN/A | Result date |
| Arenatext style control | Categorychinese | Rank28 | Rating / score1,516.40 | Votes2,322 | ObservationsN/A | Result date |
| Arenatext | Categoryspanish | Rank29 | Rating / score1,463.74 | Votes1,371 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryexpert | Rank29 | Rating / score1,499.45 | Votes3,218 | ObservationsN/A | Result date |
| Arenatext | Categorykorean | Rank30 | Rating / score1,427.29 | Votes734 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryspanish | Rank30 | Rating / score1,455.83 | Votes1,126 | ObservationsN/A | Result date |
| Arenatext style control | Categoryexpert | Rank30 | Rating / score1,502.44 | Votes3,848 | ObservationsN/A | Result date |
| Arenavision style control | Categoryenglish | Rank30 | Rating / score1,267.35 | Votes6,756 | ObservationsN/A | Result date |
| Arenatext | Categorycoding | Rank31 | Rating / score1,488.68 | Votes11,093 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderNvidia | Provider model IDmoonshotai/kimi-k2.6 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context262.1K | Updated |
| ProviderAlibaba Token Plan | Provider model IDkimi-k2.6 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context262.1K | Updated |
| ProviderSCNet Token Plan | Provider model IDKimi-K2.6 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context262.1K | Updated |
| ProviderAlibaba Token Plan (China) | Provider model IDkimi-k2.6 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context262.1K | Updated |
| Providerrouting.run | Provider model IDkimi-k2.6 | Regionglobal | Input / 1M$0.275 | Output / 1M$1.1 | Context200K | Updated |
| ProviderNanoGPT | Provider model IDmoonshotai/kimi-k2.6 | Regionglobal | Input / 1M$0.4494 | Output / 1M$1.89 | Context262.1K | Updated |
| ProviderCortecs | Provider model IDkimi-k2.6 | Regionglobal | Input / 1M$0.475 | Output / 1M$2.97 | Context256K | Updated |
| ProviderInceptron | Provider model IDmoonshotai/Kimi-K2.6 | Regionglobal | Input / 1M$0.5621 | Output / 1M$3.2 | Context262.1K | Updated |
| ProviderKenari | Provider model IDkimi-k2-6 | Regionglobal | Input / 1M$0.5714 | Output / 1M$2.86 | Context262.1K | Updated |
| ProviderDevPass (LLM Gateway) | Provider model IDkimi-k2.6 | Regionglobal | Input / 1M$0.60 | Output / 1M$3.05 | Context262.1K | Updated |
| ProviderOpenRouter | Provider model IDmoonshotai/kimi-k2.6 | Regionglobal | Input / 1M$0.65 | Output / 1M$3.41 | Context262.1K | Updated |
| ProviderKilo Gateway | Provider model IDmoonshotai/kimi-k2.6 | Regionglobal | Input / 1M$0.65 | Output / 1M$3.41 | Context262.1K | Updated |
| ProviderCoreWeave | Provider model IDmoonshotai/Kimi-K2.6 | Regionglobal | Input / 1M$0.65 | Output / 1M$3.41 | Context262.1K | Updated |
| ProviderCrusoe | Provider model IDmoonshotai/Kimi-K2.6 | Regionglobal | Input / 1M$0.70 | Output / 1M$3.5 | Context262.1K | Updated |
| ProviderLilac | Provider model IDmoonshotai/kimi-k2.6 | Regionglobal | Input / 1M$0.70 | Output / 1M$3.5 | Context262.1K | Updated |
| ProviderInfomaniak | Provider model IDmoonshotai/Kimi-K2.6 | Regionglobal | Input / 1M$0.74 | Output / 1M$3.72 | Context256K | Updated |
| ProviderDeep Infra | Provider model IDmoonshotai/Kimi-K2.6 | Regionglobal | Input / 1M$0.75 | Output / 1M$3.5 | Context262.1K | Updated |
| ProviderFastRouter | Provider model IDmoonshotai/kimi-k2.6 | Regionglobal | Input / 1M$0.75 | Output / 1M$3.5 | Context262.1K | Updated |
| ProviderVenice AI | Provider model IDkimi-k2-6 | Regionglobal | Input / 1M$0.75 | Output / 1M$3.5 | Context256K | Updated |
| ProviderGreenPT | Provider model IDkimi-k2.6 | Regionglobal | Input / 1M$0.7524 | Output / 1M$4.28 | Context262.1K | Updated |
| ProviderSiliconFlow | Provider model IDmoonshotai/Kimi-K2.6 | Regionglobal | Input / 1M$0.77 | Output / 1M$3.4 | Context262K | Updated |
| ProviderMelious | Provider model IDkimi-k2.6 | Regionglobal | Input / 1M$0.7851 | Output / 1M$3.36 | Context256K | Updated |
| ProviderNovita AI | Provider model IDmoonshotai/kimi-k2.6 | Regionglobal | Input / 1M$0.80 | Output / 1M$3.4 | Context262.1K | Updated |
| ProviderNEAR AI Cloud | Provider model IDmoonshotai/kimi-k2.6 | Regionglobal | Input / 1M$0.81 | Output / 1M$3.85 | Context262.1K | Updated |
| ProviderGMI Cloud | Provider model IDmoonshotai/Kimi-K2.6 | Regionglobal | Input / 1M$0.855 | Output / 1M$3.6 | Context65.5K | Updated |
| ProviderEmpirioLabs AI | Provider model IDkimi-k2-6 | Regionglobal | Input / 1M$0.8939 | Output / 1M$3.71 | Context256K | Updated |
| ProviderEBCloud | Provider model IDKimi-K2.6 | Regionglobal | Input / 1M$0.9286 | Output / 1M$3.86 | Context262.1K | Updated |
| ProviderAlibaba (China) | Provider model IDkimi-k2.6 | Regionglobal | Input / 1M$0.929 | Output / 1M$3.86 | Context262.1K | Updated |
| ProviderCloudflare Workers AI | Provider model ID@cf/moonshotai/kimi-k2.6 | Regionglobal | Input / 1M$0.95 | Output / 1M$4 | Context262.1K | Updated |
| ProviderTokenGo | Provider model IDmoonshotai/kimi-k2.6 | Regionglobal | Input / 1M$0.95 | Output / 1M$4 | Context262.1K | Updated |
Provider-specific output speed and catalog latency for Kimi K2.6. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionKimi K2.6 | Released | LLMBoard73.14 | Parameters1T | Context262.1K | Max output262.1K | Open weightsYes | LicenseModified MIT License |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Kimi K2.6 and its available data.
6 is a large language model that accepts text, image, and video input and supports thinking and non-thinking modes with a 256K context. It can coordinate up to 300 sub-agents across 4,000 steps and supports background agents for scheduling, code execution, and cross-platform operations.
Data as of 2026-10-22.
Common questions about Kimi K2.6.
Kimi K2.6's default version was released on Apr 20, 2026.
Kimi K2.6's official API price is $0.95 per million input tokens and $4 per million output tokens via Moonshot AI. The lowest tracked third-party offer starts at $0.275 input and $1.1 output via routing.run.
Kimi K2.6 was created by Moonshot AI.
The default version has a 262.1K token context window.
Yes. The default version is marked as open weight under Modified MIT License.
66 provider offerings are linked to the default version.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.