Xiaomi model product
5 is Xiaomi's omnimodal sparse Mixture-of-Experts model with 310B total parameters, 15B activated parameters, and a 1M-token context window.
Updated Sep 8, 2026. Default version: MiMo-V2.5
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for MiMo-V2.5.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkDailyOmni | Score83.50% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkHR-Bench (4k) | Score88.50% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkResearchClawBench | Score16.91% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkGraphWalks | Score87.00% | Rank02 | Participants3 | Percentile50.00% | EvidenceC | Evaluated |
| BenchmarkMiMo Coding Bench | Score71.80% | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkOmniDocBench | Score87.20% | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkVideoHolmes | Score64.00% | Rank03 | Participants3 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkVideo-MME | Score87.70% | Rank04 | Participants17 | Percentile81.25% | EvidenceC | Evaluated |
| BenchmarkClaw-Eval | Score63.20% | Rank07 | Participants14 | Percentile53.85% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench 2.0 | Score65.80% | Rank16 | Participants51 | Percentile70.00% | EvidenceC | Evaluated |
| BenchmarkFinance Agent v2 | Score36.73% | Rank21 | Participants26 | Percentile20.00% | EvidenceB | Evaluated |
| BenchmarkMMMU-Pro | Score77.90% | Rank22 | Participants69 | Percentile69.12% | EvidenceC | Evaluated |
| BenchmarkCharXiv-R | Score81.00% | Rank25 | Participants55 | Percentile55.56% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Pro | Score56.10% | Rank34 | Participants55 | Percentile38.89% | EvidenceC | Evaluated |
| BenchmarkLM Arena Vision | Score1,248.06 rating | Rank43 | Participants107 | Percentile60.38% | EvidenceA | Evaluated |
| BenchmarkLM Arena Vision Style Control | Score1,234.85 rating | Rank45 | Participants107 | Percentile58.49% | EvidenceA | Evaluated |
| BenchmarkLM Arena Webdev | Score1,437.71 rating | Rank49 | Participants97 | Percentile50.00% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text Factuality | Score1,438.80 rating | Rank64 | Participants121 | Percentile47.50% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text | Score1,427.52 rating | Rank69 | Participants210 | Percentile67.46% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text Style Control | Score1,433.81 rating | Rank72 | Participants210 | Percentile66.03% | EvidenceA | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenavision style control | Categorychinese | Rank19 | Rating / score1,315.45 | Votes1,102 | ObservationsN/A | Result date |
| Arenavision | Categorychinese | Rank22 | Rating / score1,326.39 | Votes1,102 | ObservationsN/A | Result date |
| Arenavision | Categoryentity recognition | Rank31 | Rating / score1,194.33 | Votes143 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryfrench | Rank33 | Rating / score1,473.68 | Votes1,421 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry mathematical | Rank33 | Rating / score1,452.36 | Votes2,032 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryjapanese | Rank33 | Rating / score1,339.16 | Votes375 | ObservationsN/A | Result date |
| Arenatext factuality | Categorykorean | Rank33 | Rating / score1,380.76 | Votes505 | ObservationsN/A | Result date |
| Arenavision style control | Categoryentity recognition | Rank34 | Rating / score1,169.32 | Votes143 | ObservationsN/A | Result date |
| Arenavision | Categorydiagram | Rank35 | Rating / score1,271.34 | Votes6,149 | ObservationsN/A | Result date |
| Arenatext factuality | Categorycoding | Rank37 | Rating / score1,503.96 | Votes12,204 | ObservationsN/A | Result date |
| Arenavision | Categoryenglish | Rank37 | Rating / score1,262.61 | Votes9,374 | ObservationsN/A | Result date |
| Arenavision style control | Categorydiagram | Rank37 | Rating / score1,267.96 | Votes6,149 | ObservationsN/A | Result date |
| Arenavision | Categoryocr | Rank38 | Rating / score1,258.24 | Votes16,547 | ObservationsN/A | Result date |
| Arenatext | Categoryhard prompts english | Rank39 | Rating / score1,461.46 | Votes14,210 | ObservationsN/A | Result date |
| Arenatext factuality | Categorymath | Rank39 | Rating / score1,445.16 | Votes2,003 | ObservationsN/A | Result date |
| Arenavision style control | Categoryenglish | Rank39 | Rating / score1,243.81 | Votes9,374 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryexpert | Rank41 | Rating / score1,479.58 | Votes3,656 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry software and it services | Rank41 | Rating / score1,487.49 | Votes17,857 | ObservationsN/A | Result date |
| Arenavision | Categoryhomework | Rank42 | Rating / score1,266.01 | Votes3,252 | ObservationsN/A | Result date |
| Arenavision style control | Categoryocr | Rank42 | Rating / score1,249.48 | Votes16,547 | ObservationsN/A | Result date |
| Arenatext factuality | Categorychinese | Rank43 | Rating / score1,484.94 | Votes1,799 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryhard prompts english | Rank43 | Rating / score1,481.66 | Votes13,619 | ObservationsN/A | Result date |
| Arenavision | Categoryoverall | Rank43 | Rating / score1,248.06 | Votes23,076 | ObservationsN/A | Result date |
| Arenatext | Categorycoding | Rank44 | Rating / score1,469.17 | Votes12,853 | ObservationsN/A | Result date |
| Arenatext | Categoryexpert | Rank44 | Rating / score1,462.43 | Votes4,401 | ObservationsN/A | Result date |
| Arenatext | Categoryinstruction following | Rank44 | Rating / score1,434.19 | Votes14,982 | ObservationsN/A | Result date |
| Arenavision style control | Categoryhomework | Rank44 | Rating / score1,258.71 | Votes3,252 | ObservationsN/A | Result date |
| Arenavision style control | Categoryhumor | Rank44 | Rating / score1,213.63 | Votes847 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry software and it services | Rank45 | Rating / score1,463.25 | Votes18,162 | ObservationsN/A | Result date |
| Arenavision | Categoryhumor | Rank45 | Rating / score1,226.48 | Votes847 | 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 |
|---|
| ProviderXiaomi Token Plan (Singapore) | Provider model IDmimo-v2.5 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderKenari | Provider model IDmimo-v2-5 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderXiaomi Token Plan (China) | Provider model IDmimo-v2.5 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderInferX | Provider model IDmimo-v25 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderXiaomi Token Plan (Europe) | Provider model IDmimo-v2.5 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderNaN | Provider model IDmimo-v2.5 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderNanoGPT | Provider model IDxiaomi/mimo-v2.5 | Regionglobal | Input / 1M$0.14 | Output / 1M$0.28 | Context1M | Updated |
| ProviderImpossibl | Provider model IDxiaomi/mimo-v2.5 | Regionglobal | Input / 1M$0.14 | Output / 1M$0.28 | Context1M | Updated |
| ProviderOpenRouter | Provider model IDxiaomi/mimo-v2.5 | Regionglobal | Input / 1M$0.14 | Output / 1M$0.28 | Context1.1M | Updated |
| ProviderOpenCode Go | Provider model IDmimo-v2.5 | Regionglobal | Input / 1M$0.14 | Output / 1M$0.28 | Context1M | Updated |
| ProviderLLM Gateway | Provider model IDxiaomi/mimo-v2.5 | Regionglobal | Input / 1M$0.14 | Output / 1M$0.28 | Context1M | Updated |
| ProviderLLMTR | Provider model IDmimo/mimo-v2.5 | Regionglobal | Input / 1M$0.14 | Output / 1M$0.28 | Context1M | Updated |
| ProviderXiaomi | Provider model IDmimo-v2.5 | Regionglobal | Input / 1M$0.14 | Output / 1M$0.28 | Context1M | Updated |
| ProviderRequesty | Provider model IDmimo-v2.5 | Regionglobal | Input / 1M$0.14 | Output / 1M$0.28 | Context1M | Updated |
| ProviderClinePass | Provider model IDcline-pass/mimo-v2.5 | Regionglobal | Input / 1M$0.14 | Output / 1M$0.28 | Context1M | Updated |
| ProviderVercel AI Gateway | Provider model IDxiaomi/mimo-v2.5 | Regionglobal | Input / 1M$0.14 | Output / 1M$0.28 | Context1.1M | Updated |
| ProviderDevPass (LLM Gateway) | Provider model IDmimo-v2.5 | Regionglobal | Input / 1M$0.14 | Output / 1M$0.28 | Context1M | Updated |
| ProviderKilo Gateway | Provider model IDxiaomi/mimo-v2.5 | Regionglobal | Input / 1M$0.14 | Output / 1M$0.28 | Context1M | Updated |
| ProviderPioneer | Provider model IDXiaomiMiMo/MiMo-V2.5 | Regionglobal | Input / 1M$0.14 | Output / 1M$0.28 | Context1.1M | Updated |
| ProviderCrossModel | Provider model IDxiaomi/mimo-v2.5 | Regionglobal | Input / 1M$0.16 | Output / 1M$0.32 | Context1M | Updated |
| ProviderDeep Infra | Provider model IDXiaomiMiMo/MiMo-V2.5 | Regionglobal | Input / 1M$0.40 | Output / 1M$2 | Context262.1K | Updated |
| ProviderHugging Face | Provider model IDXiaomiMiMo/MiMo-V2.5 | Regionglobal | Input / 1M$0.40 | Output / 1M$2 | Context262.1K | Updated |
| ProviderAmbient | Provider model IDxiaomi/mimo-v2.5 | Regionglobal | Input / 1M$0.40 | Output / 1M$2 | Context1M | Updated |
| ProviderZenMux | Provider model IDxiaomi/mimo-v2.5 | Regionglobal | Input / 1M$0.40 | Output / 1M$2 | Context1M | Updated |
| ProviderVenice AI | Provider model IDxiaomi-mimo-v2-5 | Regionglobal | Input / 1M$0.40 | Output / 1M$2 | Context1M | Updated |
| ProviderEmpirioLabs AI | Provider model IDmimo-v2-5 | Regionglobal | Input / 1M$0.70 | Output / 1M$1.4 | Context1M | Updated |
Provider-specific output speed and catalog latency for MiMo-V2.5. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderDeepInfra | Output Speed5.39 tok/s | Catalog Latency7.82 s | Max Input262.1K | Max Output131.1K | Updated |
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 |
|---|
| VersionMiMo-V2.5 | Released | LLMBoard60.00 | Parameters310.8B | Context1M | Max output131.1K | Open weightsYes | LicenseMIT |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about MiMo and its available data.
5 is an omnimodal sparse Mixture-of-Experts model built on the MiMo-V2-Flash backbone, with dedicated vision and audio encoders for text, image, video, and audio understanding.
It is post-trained with SFT, agentic reinforcement learning, and Multi-Teacher On-Policy Distillation for multimodal perception, long-context reasoning, and agentic workflows.
Data as of 2026-09-08.
Common questions about MiMo.
MiMo's default version was released on Apr 22, 2026.
MiMo's official API price is $0.14 per million input tokens and $0.28 per million output tokens via Xiaomi. The lowest tracked third-party offer starts at $0.14 input and $0.28 output via NanoGPT.
MiMo was created by Xiaomi.
The default version has a 1M token context window.
Yes. The default version is marked as open weight under MIT.
26 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.