Moonshot AI model product
Kimi K3 is Moonshot AI’s open Mixture-of-Experts language model for coding, knowledge work, and reasoning.
Updated Oct 23, 2026. Default version: Kimi K3
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Kimi K3.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkDECK-Bench | Score73.50% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkKimi Code Bench v2 | Score72.90% | Rank01 | Participants2 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMathVision | Score97.80% | Rank01 | Participants38 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMLS-Bench Lite | Score48.30% | Rank01 | Participants3 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkOmniDocBench | Score91.10% | Rank01 | Participants2 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkSpreadsheetBench 2 | Score34.80% | Rank01 | Participants2 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkLM Arena Agent Tool Hallucination | Score0.71% | Rank01 | Participants44 | Percentile100.00% | EvidenceA | Evaluated |
| BenchmarkAA LCR v1.1 | Score88.67% | Rank01 | Participants193 | Percentile100.00% | EvidenceB | EvaluatedN/A |
| BenchmarkAA-Briefcase | Score1,548.00 points | Rank02 | Participants4 | Percentile66.67% | EvidenceB | Evaluated |
| BenchmarkCharXiv-R | Score91.30% | Rank02 | Participants60 | Percentile98.31% | EvidenceC | Evaluated |
| BenchmarkDeepSearchQA | Score95.00% | Rank02 | Participants13 | Percentile91.67% | EvidenceC | Evaluated |
| BenchmarkFrontierSWE | Score81.20% | Rank02 | Participants17 | Percentile93.75% | EvidenceC | Evaluated |
| BenchmarkMMMU-Pro (with tools) | Score83.40% | Rank02 | Participants4 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkPerceptionBench | Score58.50% | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkAPEX-Agents | Score37.60% | Rank03 | Participants11 | Percentile80.00% | EvidenceC | Evaluated |
| BenchmarkBrowseComp | Score91.20% | Rank03 | Participants70 | Percentile97.10% | EvidenceC | Evaluated |
| BenchmarkDeepSWE | Score67.50% | Rank03 | Participants13 | Percentile83.33% | EvidenceC | Evaluated |
| BenchmarkMCP Atlas | Score84.20% | Rank03 | Participants39 | Percentile94.74% | EvidenceC | Evaluated |
| BenchmarkWorldVQA | Score51.00% | Rank03 | Participants7 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkBabyVision | Score85.70% | Rank04 | Participants16 | Percentile80.00% | EvidenceC | Evaluated |
| BenchmarkProgram Bench | Score77.80% | Rank04 | Participants18 | Percentile82.35% | EvidenceC | Evaluated |
| BenchmarkLiveBench reasoning (2026-06-25) | Score90.67 score | Rank04 | Participants43 | Percentile92.86% | EvidenceB | EvaluatedN/A |
| BenchmarkPostTrainBench | Score36.60% | Rank05 | Participants9 | Percentile50.00% | EvidenceC | Evaluated |
| BenchmarkZEROBench | Score0.41 points | Rank05 | Participants15 | Percentile71.43% | EvidenceC | Evaluated |
| BenchmarkAA SciCode Subtasks | Score59.49% | Rank05 | Participants89 | Percentile95.45% | EvidenceB | EvaluatedN/A |
| BenchmarkTerminal-Bench 2.1 | Score88.30% | Rank06 | Participants48 | Percentile89.36% | EvidenceC | Evaluated |
| BenchmarkOfficeQA Pro | Score63.30% | Rank07 | Participants12 | Percentile45.45% | EvidenceC | Evaluated |
| BenchmarkSWE-Marathon | Score42.00% | Rank07 | Participants10 | Percentile33.33% | EvidenceC | Evaluated |
| BenchmarkToolathlon | Score73.20% | Rank07 | Participants42 | Percentile85.37% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score93.50% | Rank08 | Participants256 | Percentile97.25% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenaagent tool hallucination | Categoryoverall | Rank01 | Rating / score0.01 | VotesN/A | Observations12.1M | Result date |
| Arenatext factuality | Categoryjapanese | Rank03 | Rating / score1,497.25 | Votes319 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry medicine and healthcare | Rank05 | Rating / score1,517.64 | Votes1,933 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry legal and government | Rank05 | Rating / score1,510.32 | Votes2,682 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry life and physical and social science | Rank05 | Rating / score1,524.17 | Votes5,364 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry medicine and healthcare | Rank06 | Rating / score1,513.75 | Votes2,339 | ObservationsN/A | Result date |
| Arenatext style control | Categoryjapanese | Rank06 | Rating / score1,506.92 | Votes662 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry legal and government | Rank07 | Rating / score1,509.08 | Votes2,246 | ObservationsN/A | Result date |
| Arenatext style control | Categorygerman | Rank07 | Rating / score1,505.65 | Votes671 | ObservationsN/A | Result date |
| Arenatext style control | Categoryhard prompts english | Rank07 | Rating / score1,517.01 | Votes8,333 | ObservationsN/A | Result date |
| Arenatext style control | Categorymulti turn | Rank07 | Rating / score1,501.14 | Votes5,244 | ObservationsN/A | Result date |
| Arenaagent task outcome explicit | Categoryoverall | Rank08 | Rating / score0.06 | VotesN/A | Observations92.2K | Result date |
| Arenatext | Categoryindustry legal and government | Rank08 | Rating / score1,502.77 | Votes2,682 | ObservationsN/A | Result date |
| Arenatext style control | Categorycoding | Rank08 | Rating / score1,539.45 | Votes8,643 | ObservationsN/A | Result date |
| Arenatext style control | Categorykorean | Rank08 | Rating / score1,472.18 | Votes717 | ObservationsN/A | Result date |
| Arenatext style control | Categorylonger query | Rank08 | Rating / score1,503.11 | Votes14,884 | ObservationsN/A | Result date |
| Arenawebdev | Categoryoverall | Rank08 | Rating / score1,655.29 | Votes19,592 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev | Rank08 | Rating / score1,655.29 | Votes19,592 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev-html | Rank08 | Rating / score1,644.07 | Votes2,678 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev-react | Rank08 | Rating / score1,670.46 | Votes12,988 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry life and physical and social science | Rank09 | Rating / score1,508.41 | Votes5,364 | ObservationsN/A | Result date |
| Arenatext | Categoryjapanese | Rank09 | Rating / score1,493.59 | Votes662 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry mathematical | Rank09 | Rating / score1,488.44 | Votes1,498 | ObservationsN/A | Result date |
| Arenatext style control | Categorychinese | Rank09 | Rating / score1,541.37 | Votes2,501 | ObservationsN/A | Result date |
| Arenatext style control | Categoryexpert | Rank09 | Rating / score1,532.42 | Votes3,128 | ObservationsN/A | Result date |
| Arenatext style control | Categoryhard prompts | Rank09 | Rating / score1,516.42 | Votes21,953 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry life and physical and social science | Rank10 | Rating / score1,509.60 | Votes4,953 | ObservationsN/A | Result date |
| Arenatext style control | Categoryfrench | Rank10 | Rating / score1,510.30 | Votes1,305 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry mathematical | Rank10 | Rating / score1,509.39 | Votes1,811 | ObservationsN/A | Result date |
| Arenatext | Categoryexpert | Rank11 | Rating / score1,520.39 | Votes3,128 | 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 |
|---|
| ProviderUmans AI Coding Plan | Provider model IDumans-kimi-k3 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderNvidia | Provider model IDmoonshotai/kimi-k3 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderSCNet Token Plan | Provider model IDKimi-K3 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderSenseNova (China) | Provider model IDkimi-k3 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderVolcengine Ark Coding Plan | Provider model IDkimi-k3 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderKimi For Coding (kimi.ai) | Provider model IDk3 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderKimi For Coding (kimi.com) | Provider model IDk3 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderOpenRouter | Provider model IDmoonshotai/kimi-k3 | Regionglobal | Input / 1M$0.239 | Output / 1M$11.94 | Context1M | Updated |
| ProviderKenari | Provider model IDkimi-k3 | Regionglobal | Input / 1M$0.8571 | Output / 1M$8.57 | Context1M | Updated |
| ProviderNanoGPT | Provider model IDmoonshotai/kimi-k3 | Regionglobal | Input / 1M$1.2 | Output / 1M$5.5 | Context1M | Updated |
| Providerengy | Provider model IDkimi-k3 | Regionglobal | Input / 1M$1.95 | Output / 1M$9.75 | Context1.1M | Updated |
| Providerainetcafe | Provider model IDKimi-K3 | Regionglobal | Input / 1M$2.1 | Output / 1M$10.5 | Context262.1K | Updated |
| ProviderBoundless | Provider model IDkimi-k3 | Regionglobal | Input / 1M$2.3 | Output / 1M$11.4 | Context1M | Updated |
| ProviderIteraCompute | Provider model IDmoonshotai/kimi-k3 | Regionglobal | Input / 1M$2.35 | Output / 1M$11.76 | Context1M | Updated |
| ProviderVancine | Provider model IDkimi-k3 | Regionglobal | Input / 1M$2.4 | Output / 1M$12 | Context1M | Updated |
| ProviderWallaby | Provider model IDmoonshotai/kimi-k3 | Regionglobal | Input / 1M$2.7 | Output / 1M$13.5 | Context1M | Updated |
| ProviderSiliconFlow | Provider model IDmoonshotai/Kimi-K3 | Regionglobal | Input / 1M$2.7 | Output / 1M$13.5 | Context1M | Updated |
| ProviderAlibaba (China) | Provider model IDkimi-k3 | Regionglobal | Input / 1M$2.83 | Output / 1M$14.13 | Context1M | Updated |
| ProviderDeep Infra | Provider model IDmoonshotai/Kimi-K3 | Regionglobal | Input / 1M$2.85 | Output / 1M$14.25 | Context1M | Updated |
| ProviderMerge Gateway | Provider model IDmoonshot/kimi-k3 | Regionglobal | Input / 1M$2.9 | Output / 1M$14 | Context1M | Updated |
| ProviderMoonshot AI (China) | Provider model IDkimi-k3 | Regionglobal | Input / 1M$2.99 | Output / 1M$14.94 | Context1M | Updated |
| ProviderNeuralwatt | Provider model IDkimi-k3 | Regionglobal | Input / 1M$3 | Output / 1M$15 | Context1M | Updated |
| ProviderTokenGo | Provider model IDmoonshotai/kimi-k3 | Regionglobal | Input / 1M$3 | Output / 1M$15 | Context1M | Updated |
| ProviderOrcaRouter | Provider model IDkimi/kimi-k3 | Regionglobal | Input / 1M$3 | Output / 1M$15 | Context1M | Updated |
| ProviderCortecs | Provider model IDkimi-k3 | Regionglobal | Input / 1M$3 | Output / 1M$15 | Context1M | Updated |
| ProviderSynthetic | Provider model IDhf:moonshotai/Kimi-K3 | Regionglobal | Input / 1M$3 | Output / 1M$15 | Context524.3K | Updated |
| ProviderJalapeno Cloud | Provider model IDKimi-K3 | Regionglobal | Input / 1M$3 | Output / 1M$15 | Context1M | Updated |
| ProviderHugging Face | Provider model IDmoonshotai/Kimi-K3 | Regionglobal | Input / 1M$3 | Output / 1M$15 | Context1M | Updated |
| ProviderImpossibl | Provider model IDmoonshotai/kimi-k3 | Regionglobal | Input / 1M$3 | Output / 1M$15 | Context1M | Updated |
| ProviderMoonshot AI | Provider model IDkimi-k3 | Regionglobal | Input / 1M$3 | Output / 1M$15 | Context1M | Updated |
Provider-specific output speed and catalog latency for Kimi K3. 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 K3 | Released | LLMBoard86.25 | Parameters2.8T | Context1M | Max output1M | Open weightsYes | LicenseKimi K3 License |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Kimi K3 and its available data.
8 trillion total parameters, 896 experts, and 16 active experts. It supports a 1M-token context window, native image and video understanding, tool calling, structured output, and always-on reasoning, and combines Kimi Delta Attention, Attention Residuals, and Stable LatentMoE.
Data as of 2026-10-22.
Common questions about Kimi K3.
Kimi K3's default version was released on Jul 16, 2026.
Kimi K3's official API price is $3 per million input tokens and $15 per million output tokens via Moonshot AI. The lowest tracked third-party offer starts at $0.239 input and $11.94 output via OpenRouter.
Kimi K3 was created by Moonshot AI.
The default version has a 1M token context window.
Yes. The default version is marked as open weight under Kimi K3 License.
82 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.