Moonshot AI model product
5 is an open large language model from Moonshot AI that combines vision and text with thinking and non-thinking modes.
Updated Oct 23, 2026. Default version: Kimi K2.5
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Kimi K2.5.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkFinSearchComp T2&T3 | Score67.80% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkInfoVQAtest | Score92.60% | Rank01 | Participants12 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMathVista-Mini | Score90.10% | Rank01 | Participants26 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkOCRBench | Score92.30% | Rank01 | Participants24 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkOJBench (C++) | Score57.40% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkSeal-0 | Score57.40% | Rank01 | Participants7 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMMVU | Score80.40% | Rank02 | Participants7 | Percentile83.33% | EvidenceC | Evaluated |
| BenchmarkPaperBench | Score63.50% | Rank02 | Participants3 | Percentile50.00% | EvidenceC | Evaluated |
| BenchmarkLongVideoBench | Score79.80% | Rank03 | Participants6 | Percentile60.00% | EvidenceC | Evaluated |
| BenchmarkVideoMMMU | Score86.60% | Rank03 | Participants28 | Percentile92.59% | EvidenceC | Evaluated |
| BenchmarkMotionBench | Score70.40% | Rank04 | Participants5 | Percentile25.00% | EvidenceC | Evaluated |
| BenchmarkVideo-MME | Score87.40% | Rank05 | Participants17 | Percentile75.00% | EvidenceC | Evaluated |
| BenchmarkWideSearch | Score79.00% | Rank05 | Participants15 | Percentile71.43% | EvidenceC | Evaluated |
| BenchmarkHMMT 2025 | Score95.40% | Rank06 | Participants33 | Percentile84.38% | EvidenceC | Evaluated |
| BenchmarkLongBench v2 | Score61.00% | Rank07 | Participants19 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkSimpleVQA | Score0.71 points | Rank07 | Participants17 | Percentile62.50% | EvidenceC | Evaluated |
| BenchmarkWorldVQA | Score46.30% | Rank07 | Participants7 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score87.10% | Rank08 | Participants142 | Percentile95.04% | EvidenceC | Evaluated |
| BenchmarkAA-LCR | Score70.00% | Rank09 | Participants27 | Percentile69.23% | EvidenceC | Evaluated |
| BenchmarkZEROBench | Score0.11 points | Rank09 | Participants15 | Percentile42.86% | EvidenceC | Evaluated |
| BenchmarkDeepSearchQA | Score77.10% | Rank10 | Participants13 | Percentile25.00% | EvidenceC | Evaluated |
| BenchmarkLVBench | Score75.90% | Rank10 | Participants31 | Percentile70.00% | EvidenceC | Evaluated |
| BenchmarkOmniDocBench 1.5 | Score88.80% | Rank10 | Participants20 | Percentile52.63% | EvidenceC | Evaluated |
| BenchmarkSciCode | Score48.70% | Rank11 | Participants31 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkMathVision | Score84.20% | Rank13 | Participants38 | Percentile67.57% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench v6 | Score85.00% | Rank15 | Participants67 | Percentile78.79% | EvidenceC | Evaluated |
| BenchmarkFrontierSWE | Score26.00% | Rank16 | Participants17 | Percentile6.25% | EvidenceB | Evaluated |
| BenchmarkIMO-AnswerBench | Score81.80% | Rank16 | Participants22 | Percentile28.57% | EvidenceC | Evaluated |
| BenchmarkAIME 2025 | Score96.10% | Rank19 | Participants122 | Percentile85.12% | EvidenceC | Evaluated |
| BenchmarkMMMU-Pro | Score78.50% | Rank19 | Participants73 | Percentile75.00% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenavision | Categoryentity recognition | Rank06 | Rating / score1,284.84 | Votes275 | ObservationsN/A | Result date |
| Arenavision style control | Categoryentity recognition | Rank10 | Rating / score1,232.33 | Votes275 | ObservationsN/A | Result date |
| Arenavision | Categorycaptioning | Rank11 | Rating / score1,257.13 | Votes125 | ObservationsN/A | Result date |
| Arenavision style control | Categorycaptioning | Rank13 | Rating / score1,197.96 | Votes125 | ObservationsN/A | Result date |
| Arenatext factuality | Categorykorean | Rank20 | Rating / score1,417.81 | Votes796 | ObservationsN/A | Result date |
| Arenavision | Categoryhumor | Rank20 | Rating / score1,283.71 | Votes1,083 | ObservationsN/A | Result date |
| Arenatext factuality | Categorygerman | Rank24 | Rating / score1,414.38 | Votes749 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryjapanese | Rank25 | Rating / score1,418.09 | Votes562 | ObservationsN/A | Result date |
| Arenavision style control | Categoryhumor | Rank26 | Rating / score1,262.13 | Votes1,083 | ObservationsN/A | Result date |
| Arenadocument | Categoryoverall | Rank29 | Rating / score1,430.10 | Votes21,569 | ObservationsN/A | Result date |
| Arenavision | Categorychinese | Rank29 | Rating / score1,328.47 | Votes273 | ObservationsN/A | Result date |
| Arenavision | Categorycreative writing vision | Rank29 | Rating / score1,268.78 | Votes1,768 | ObservationsN/A | Result date |
| Arenavision | Categoryhomework | Rank29 | Rating / score1,296.65 | Votes3,649 | ObservationsN/A | Result date |
| Arenavision style control | Categorychinese | Rank29 | Rating / score1,308.85 | Votes273 | ObservationsN/A | Result date |
| Arenatext factuality | Categorypolish | Rank31 | Rating / score1,425.59 | Votes1,002 | ObservationsN/A | Result date |
| Arenadocument style control | Categoryoverall | Rank32 | Rating / score1,435.96 | Votes21,569 | ObservationsN/A | Result date |
| Arenavision | Categoryenglish | Rank34 | Rating / score1,273.98 | Votes10,972 | ObservationsN/A | Result date |
| Arenavision style control | Categoryhomework | Rank34 | Rating / score1,290.01 | Votes3,649 | ObservationsN/A | Result date |
| Arenatext factuality | Categorycoding | Rank35 | Rating / score1,515.79 | Votes985 | ObservationsN/A | Result date |
| Arenatext | Categorymath | Rank36 | Rating / score1,469.77 | Votes4,174 | ObservationsN/A | Result date |
| Arenatext factuality | Categorychinese | Rank36 | Rating / score1,501.47 | Votes3,365 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry mathematical | Rank36 | Rating / score1,460.29 | Votes3,109 | ObservationsN/A | Result date |
| Arenavision style control | Categorycreative writing vision | Rank36 | Rating / score1,247.20 | Votes1,768 | ObservationsN/A | Result date |
| Arenatext | Categorycoding | Rank37 | Rating / score1,483.43 | Votes1,871 | ObservationsN/A | Result date |
| Arenatext | Categoryjapanese | Rank37 | Rating / score1,422.55 | Votes850 | ObservationsN/A | Result date |
| Arenatext factuality | Categorymath | Rank37 | Rating / score1,455.18 | Votes3,148 | ObservationsN/A | Result date |
| Arenavision | Categoryocr | Rank37 | Rating / score1,276.14 | Votes19,489 | ObservationsN/A | Result date |
| Arenavision | Categoryoverall | Rank37 | Rating / score1,269.02 | Votes28,249 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryspanish | Rank38 | Rating / score1,446.52 | Votes1,890 | ObservationsN/A | Result date |
| Arenavision style control | Categoryocr | Rank38 | Rating / score1,266.32 | Votes19,489 | 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 |
|---|
| ProviderAlibaba Token Plan | Provider model IDkimi-k2.5 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context262.1K | Updated |
| ProviderAlibaba Coding Plan (China) | Provider model IDkimi-k2.5 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context262.1K | Updated |
| ProviderAlibaba Coding Plan | Provider model IDkimi-k2.5 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context262.1K | Updated |
| ProviderTencent Coding Plan (China) | Provider model IDkimi-k2.5 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context262.1K | Updated |
| ProviderSCNet Token Plan | Provider model IDKimi-K2.5 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context262.1K | Updated |
| ProviderAlibaba Token Plan (China) | Provider model IDkimi-k2.5 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context262.1K | Updated |
| ProviderNanoGPT | Provider model IDmoonshotai/kimi-k2.5 | Regionglobal | Input / 1M$0.375 | Output / 1M$2 | Context262.1K | Updated |
| ProviderMeganova | Provider model IDmoonshotai/Kimi-K2.5 | Regionglobal | Input / 1M$0.45 | Output / 1M$2.25 | Context262.1K | Updated |
| ProviderDeep Infra | Provider model IDmoonshotai/Kimi-K2.5 | Regionglobal | Input / 1M$0.45 | Output / 1M$2.25 | Context262.1K | Updated |
| ProviderAuriko | Provider model IDkimi-k2.5 | Regionglobal | Input / 1M$0.45 | Output / 1M$2.25 | Context262.1K | Updated |
| ProviderSiliconFlow | Provider model IDmoonshotai/Kimi-K2.5 | Regionglobal | Input / 1M$0.45 | Output / 1M$2.25 | Context262K | Updated |
| ProviderOpenRouter | Provider model IDmoonshotai/kimi-k2.5 | Regionglobal | Input / 1M$0.50 | Output / 1M$2.5 | Context262.1K | Updated |
| ProviderDigitalOcean | Provider model IDkimi-k2.5 | Regionglobal | Input / 1M$0.50 | Output / 1M$2.7 | Context262.1K | Updated |
| ProviderTensorX | Provider model IDmoonshotai/kimi-k2.5 | Regionglobal | Input / 1M$0.50 | Output / 1M$2.8 | Context262.1K | Updated |
| ProviderVenice AI | Provider model IDkimi-k2-5 | Regionglobal | Input / 1M$0.56 | Output / 1M$3.5 | Context256K | Updated |
| ProviderAlibaba (China) | Provider model IDkimi-k2.5 | Regionglobal | Input / 1M$0.574 | Output / 1M$3.01 | Context262.1K | Updated |
| ProviderDevPass (LLM Gateway) | Provider model IDkimi-k2.5 | Regionglobal | Input / 1M$0.574 | Output / 1M$3.01 | Context262.1K | Updated |
| ProviderMelious | Provider model IDkimi-k2.5 | Regionglobal | Input / 1M$0.5796 | Output / 1M$2.96 | Context262K | Updated |
| ProviderQiniu | Provider model IDmoonshotai/kimi-k2.5 | Regionglobal | Input / 1M$0.5797 | Output / 1M$3.04 | Context256K | Updated |
| ProviderZenMux | Provider model IDmoonshotai/kimi-k2.5 | Regionglobal | Input / 1M$0.58 | Output / 1M$3.02 | Context262K | Updated |
| ProviderHPC-AI | Provider model IDmoonshotai/kimi-k2.5 | Regionglobal | Input / 1M$0.60 | Output / 1M$3 | Context256K | Updated |
| ProviderOrcaRouter | Provider model IDkimi/kimi-k2.5 | Regionglobal | Input / 1M$0.60 | Output / 1M$3 | Context262.1K | Updated |
| ProviderJalapeno Cloud | Provider model IDKimi-K2.5 | Regionglobal | Input / 1M$0.60 | Output / 1M$3 | Context262.1K | Updated |
| ProviderHugging Face | Provider model IDmoonshotai/Kimi-K2.5 | Regionglobal | Input / 1M$0.60 | Output / 1M$3 | Context262.1K | Updated |
| ProviderJiekou.AI | Provider model IDmoonshotai/kimi-k2.5 | Regionglobal | Input / 1M$0.60 | Output / 1M$3 | Context262.1K | Updated |
| ProviderAmazon Bedrock | Provider model IDmoonshotai.kimi-k2.5 | Regionglobal | Input / 1M$0.60 | Output / 1M$3 | Context262.1K | Updated |
| ProviderMerge Gateway | Provider model IDmoonshot/kimi-k2.5 | Regionglobal | Input / 1M$0.60 | Output / 1M$3 | Context262.1K | Updated |
| ProviderOfox | Provider model IDmoonshotai/kimi-k2.5 | Regionglobal | Input / 1M$0.60 | Output / 1M$3 | Context262.1K | Updated |
| ProviderAzure Cognitive Services | Provider model IDkimi-k2.5 | Regionglobal | Input / 1M$0.60 | Output / 1M$3 | Context262.1K | Updated |
| ProviderOpenCode | Provider model IDkimi-k2.5 | Regionglobal | Input / 1M$0.60 | Output / 1M$3 | Context262.1K | Updated |
Provider-specific output speed and catalog latency for Kimi K2.5. 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 K2.5 | Released | LLMBoard64.61 | Parameters1T | Context262.1K | Max output262.1K | Open weightsYes | LicenseMIT |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Kimi K2.5 and its available data.
5 is Moonshot AI's flagship agentic model, supporting vision and text, thinking and non-thinking modes, and single-agent and multi-agent execution. It uses Full-Parameter RL tuning and is evaluated across agent, coding, image, and video benchmarks.
Data as of 2026-10-22.
Common questions about Kimi K2.5.
Kimi K2.5's default version was released on Jan 27, 2026.
No official standard PAYG price is currently available for Kimi K2.5. The lowest tracked third-party offer starts at $0.375 input and $2 output via NanoGPT.
Kimi K2.5 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 MIT.
42 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.